# Best Data Preparation Tools and Software *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Data preparation software tools assists in the process of discovering, blending, combining, cleansing, enriching, and transforming data so large datasets can be easily integrated, consumed, and analyzed with business intelligence and analytics solutions. Data preparation tools provide IT departments, data analysts, data scientists, and average business users a platform to integrate disparate data sources in a quick and efficient way. It makes for a much smoother analysis experience when businesses attempt to extract actionable insights from their data. Many data preparation solutions offer the functionality of [data governance software](https://www.g2.com/categories/data-governance), metadata management, and machine learning features. Data preparation is necessary to improve data quality. Data preparation services are used by data-driven companies that empower their employees to explore business data to enhance decision making and drive productive change. Data preparation platforms integrates with [analytics platforms](https://www.g2.com/categories/analytics-platforms) and other analytics tools to clean datasets that can be easily understood and acted upon. The integration with intelligence and analytical software helps in the actual analysis of the data. Data preparation tools may also be used in conjunction with [data integration software](https://www.g2.com/categories/data-integration) to make it easier when combining data sources. Many business intelligence platforms and [self-service business intelligence software](https://www.g2.com/categories/business-intelligence) have data preparation capabilities. Additionally, data preparation functionality can be included in [data quality software](https://www.g2.com/categories/data-quality). To qualify for inclusion in the Data Preparation category, a product must: - Provide data preparation capabilities such as blending, combining, and transforming datasets for simple analysis and integration - Provide cleansing and enrichment capabilities for a higher level of data quality - Offer integrations with analytics and data integration solutions - Exist as standalone software or in integration with an analytics platform, with clear mention of data preparation capabilities ## Top Data Preparation Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,620 reviews) | Drag-and-drop data prep for multi-source dashboards | "[Tableau Makes Business Data Easy to Explore with Interactive Dashboards](https://www.g2.com/survey_responses/tableau-review-13037513)" | | 2 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (826 reviews) | No-code multi-source ETL workflow automation | "[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | End-to-end data prep with no-code pipelines | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 4 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (997 reviews) | No-code multi-source ETL and transformation | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 5 | [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) | 4.5/5.0 (560 reviews) | HubSpot-native CRM data deduplication and cleansing | "[HubSpot Data Hub simplifies and centralizes data with ease](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925)" | | 6 | [dbt](https://www.g2.com/products/dbt/reviews) | 4.7/5.0 (207 reviews) | SQL-based ELT transformation with version-controlled lineage | "[Simple SQL-Driven Materializations with Powerful Lineage](https://www.g2.com/survey_responses/dbt-review-12985641)" | | 7 | [Incorta](https://www.g2.com/products/incorta/reviews) | 4.4/5.0 (55 reviews) | Multi-source ELT with no-code data modeling | "[Great platformand support](https://www.g2.com/survey_responses/incorta-review-10853785)" | | 8 | [DemandTools](https://www.g2.com/products/demandtools/reviews) | 4.6/5.0 (275 reviews) | Salesforce-native bulk deduplication and data cleansing | "[The reason I don’t fear CSV files anymore.](https://www.g2.com/survey_responses/demandtools-review-11536972)" | | 9 | [AWS Glue](https://www.g2.com/products/aws-glue/reviews) | 4.3/5.0 (194 reviews) | Serverless ETL pipelines with AWS-native cataloging | "[AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration](https://www.g2.com/survey_responses/aws-glue-review-12380790)" | | 10 | [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) | 4.4/5.0 (763 reviews) | Multi-source ETL with associative data modeling | "[Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model](https://www.g2.com/survey_responses/qlik-sense-review-12963425)" | --- ## What Are the Most Common Questions About Data Preparation Software? *AI-generated · Last updated: May 26, 2026* ### What top platforms for cleaning and transforming raw data? Based on G2 reviews, buyers evaluating data preparation software for cleaning and transforming raw data consistently mention a few recurring strengths: easy workflow building, support for multiple data sources, and reduced manual cleanup. According to verified users, Alteryx is frequently praised for data cleansing, standardization, joining sources, and automating repetitive prep work. G2 reviewers mention AWS Glue for serverless ETL and schema management when teams are already working in AWS environments. They also mention dbt for organizing transformation logic, testing data quality, and creating maintainable transformation pipelines inside the warehouse. Across recent reviews, the common value is faster preparation of messy data with less spreadsheet work and more repeatable processes. **Here are some of the top-rated products on G2:** - [Alteryx](https://www.g2.com/products/alteryx/reviews) – often used for cleansing, standardizing, and combining data from many sources with low-code workflows - [dbt](https://www.g2.com/products/dbt/reviews) – suited for SQL-based transformations, testing, and documentation for warehouse-centered teams - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – helpful for serverless ETL, schema discovery, and catalog-driven preparation in AWS ### Which data preparation software integrates with BI platforms? Based on G2 reviews, several data preparation software products are used specifically to feed dashboards, reports, and analytics tools. According to verified users, Alteryx is often used to standardize source data before it reaches visualization templates or recurring reports. G2 reviewers mention AWS Glue integrating smoothly with services like Athena and Redshift, helping prepared data move into downstream analytics environments. Users also describe Domo as combining ETL, data integration, and dashboarding in one cloud platform, which reduces the number of handoffs between prep and reporting. Across recent feedback, the main buying signal is not just connectivity, but whether the product helps teams centralize data, automate transformations, and make prepared data easier to use in BI workflows. ### Which data preparation software offers the fastest processing speeds? Based on G2 reviews, speed is usually described in the context of reducing manual work, handling large files, or accelerating repetitive transformations rather than raw benchmark claims. According to verified users, Alteryx is often highlighted for automating weekly standardization, reconciliation, and large-volume preparation tasks that would otherwise take much longer in SQL or Excel. G2 reviewers mention AWS Glue for scalable serverless processing and automation across multiple sources, while dbt is praised for efficient transformation workflows managed directly in the warehouse. Recent reviews suggest the fastest option often depends on your environment: warehouse-first teams lean toward dbt, AWS-native teams toward Glue, and analyst-heavy teams toward Alteryx for low-code speed and operational efficiency. ### What best software for preparing real-time streaming data? Based on G2 reviews, tools mentioned for fresher or near-real-time data preparation tend to stand out for automated refreshes, real-time ingestion, or continuously updated dashboards. According to verified users, AWS Glue is often selected when teams need automated ETL, schema handling, and scalable processing without managing infrastructure. G2 reviewers also mention Domo for real-time updates, centralized dashboards, and bringing multiple data sources together for faster reporting. Some users reference SAS Viya for keeping dashboards up to date with real-time data while combining analytics and data preparation in one environment. Recent feedback shows that buyers focused on time-sensitive reporting usually value automation, centralized metadata, and reduced operational overhead more than pure transformation depth alone. **Here are some of the top-rated products on G2:** - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – used for automated, serverless ETL and scalable processing across connected data sources - [Domo](https://www.g2.com/products/domo/reviews) – praised for real-time updates, centralized data, and dashboards that support faster decisions - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) – mentioned for combining up-to-date dashboards, analytics, and data preparation in one platform ### What top-rated data preparation tools for large datasets? Based on G2 reviews, buyers working with large datasets tend to prioritize products that can process high volumes reliably while still keeping transformation logic manageable. According to verified users, Alteryx is often praised for handling large amounts of data, automation, and combining sources without relying as heavily on manual spreadsheets. G2 reviewers mention AWS Glue for scalable, serverless ETL and data catalog capabilities that help with large-scale data processing. They also call out dbt for structuring and testing transformations directly in the warehouse, which helps teams manage growing model complexity. Across recent reviews, the strongest signal is that teams want large-scale preparation tools that improve reliability, reduce manual intervention, and support repeatable analytics workflows. **Here are some of the top-rated products on G2:** - [Alteryx](https://www.g2.com/products/alteryx/reviews) – commonly used for high-volume cleansing, reconciliation, and multi-source preparation workflows - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – suited for scalable ETL, centralized metadata, and large-source processing in AWS - [dbt](https://www.g2.com/products/dbt/reviews) – useful for warehouse-scale transformations, testing, and dependency management on large model sets ### Which is the best data preparation tool for analytics teams? Based on G2 reviews, [Alteryx](https://www.g2.com/products/alteryx/reviews) stands out as the single most broadly referenced option here because recent reviewers repeatedly describe it as easy to use across skill levels, strong for automation, and effective for combining data from multiple sources. According to verified users, analytics teams value how it helps with cleansing, standardization, recurring reporting, and reducing manual prep steps. G2 reviewers mention that it is especially useful when analysts need to move quickly without relying entirely on engineering resources. At the same time, users also note tradeoffs such as crashes, slower performance in some cases, and licensing concerns. For analytics teams prioritizing repeatable workflows and accessible data preparation, Alteryx appears most consistently favored. ### What top platforms for self-service data preparation? Based on G2 reviews, self-service data preparation platforms are usually judged by how quickly non-technical or less technical users can clean, combine, and shape data without heavy engineering help. According to verified users, Alteryx is often praised for intuitive workflows, visual steps, and accessibility for users without deep coding backgrounds. G2 reviewers also describe Domo as approachable for both technical and non-technical teams, especially through features like Magic ETL and centralized dashboards. SAS Viya is another option users mention because it combines low-code and no-code workflows with analytics and data prep in one place. Across recent reviews, self-service success usually comes down to usability, guided workflow design, and the ability to reduce dependence on manual spreadsheet processes. ### What best platforms for combining data preparation with ETL processes? Based on G2 reviews, products that combine data preparation with ETL tend to be valued for reducing tool sprawl and making it easier to move from ingestion to transformation to reporting. According to verified users, Alteryx is frequently used for end-to-end prep workflows including cleansing, blending, and automation. G2 reviewers mention AWS Glue for serverless ETL, schema discovery, and centralized catalog management, especially in AWS-based stacks. Domo is also cited for bringing ETL, integration, analytics, and dashboards together inside one cloud platform. Recent feedback suggests buyers prefer platforms that do more than transform data: they want repeatable workflows, easier handoffs to reporting, and less need to stitch together separate tools for prep and pipeline management. **Here are some of the top-rated products on G2:** - [Alteryx](https://www.g2.com/products/alteryx/reviews) – supports automated cleansing, joining, and repeatable ETL-style preparation for analysts - [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – combines serverless ETL, cataloging, and automated schema handling for cloud data pipelines - [Domo](https://www.g2.com/products/domo/reviews) – unifies ETL, data integration, and dashboard delivery in one platform ### What best tools for preparing data for machine learning models? Based on G2 reviews, buyers preparing data for machine learning models often look for products that help with transformation, consistency, and handling complex or large datasets before modeling begins. According to verified users, SAS Viya is frequently mentioned for bringing data preparation, analytics, and machine learning into one environment, which can reduce handoffs between prep and modeling. G2 reviewers also describe dbt as useful for creating tested, documented, and reusable transformation layers that support downstream modeling workflows. Alteryx is another product users call out when they need to cleanse, standardize, and automate repetitive preparation tasks before analysis. Across recent reviews, the strongest value comes from improving data quality and making feature-ready datasets easier to produce consistently. **Here are some of the top-rated products on G2:** - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) – used for preparing data and moving into machine learning workflows within one platform - [dbt](https://www.g2.com/products/dbt/reviews) – helps teams build tested, documented transformation layers for reliable model inputs - [Alteryx](https://www.g2.com/products/alteryx/reviews) – valued for automating cleansing and preparation steps before advanced analytics ### Which tool offers AI-powered data preparation suggestions? Based on G2 reviews, SAS Viya is the clearest fit for this question because verified users explicitly mention AI-powered insights, AI-powered search, and features that help users work with dashboards and data more easily. According to verified users, the platform combines data preparation, analytics, and model-building workflows in a single environment, which supports more guided analysis. G2 reviewers also mention capabilities like Copilot and automated assistance for tasks such as data cleansing and reporting workflows. While several products in this category reference AI features, SAS Viya has the most direct and recurring review language around AI-supported preparation and insight generation in the recent review set. That makes it the strongest grounded answer for buyers prioritizing AI-assisted preparation. ## How Many Data Preparation Software Products Does G2 Track? **Total Products under this Category:** 107 ### Category Stats (Jul 2026) - **Average Rating**: 4.52/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Querri (+2.33%) - Among all products in this category, Querri recorded the largest rating increase compared to last month *Last updated: July 01, 2026* ## How Does G2 Rank Data Preparation Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 10,800+ Authentic Reviews - 107+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Data Preparation Software Is Best for Your Use Case? - **Leader:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Highest Performer:** [Incorta](https://www.g2.com/products/incorta/reviews) - **Easiest to Use:** [dbt](https://www.g2.com/products/dbt/reviews) - **Top Trending:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Best Free Software:** [Tableau](https://www.g2.com/products/tableau/reviews) --- **Sponsored** ### Savant Labs Savant is an AI automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed workflows, so teams can be more efficient without sacrificing accuracy, control, or compliance. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance is built in, not bolted on: Audit trail, data lineage, SOX controls, and role-based access are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered data automation: Automate any data task end to end — prep, blending, transformation, publishing, and alerting. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Deterministic workflow engine: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail and data lineage: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - User-friendly interface: No SQL, no code, no IT tickets. If your team can use Excel, they can build and run workflows in Savant. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1412&secure%5Bdisplayable_resource_id%5D=1412&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1412&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1327618&secure%5Bresource_id%5D=1412&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-preparation&secure%5Btoken%5D=4acbb2d750e53abbab60c476d6f2a1ca553a08485887469cba60b09f58e2e5b3&secure%5Burl%5D=https%3A%2F%2Fsavantlabs.io%2Fbook-a-demo&secure%5Burl_type%5D=book_demo) --- ## What Are the Top-Rated Data Preparation Software Products in 2026? ### 1. [Tableau](https://www.g2.com/products/tableau/reviews) Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud. **Average Rating:** 4.4/5.0 **Total Reviews:** 3,620 **How Do G2 Users Rate Tableau?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.0/10) - **Data Workflows:** 8.4/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.2/10 (Category avg: 8.5/10) - **Data Joining:** 8.5/10 (Category avg: 8.9/10) **Who Is the Company Behind Tableau?** - **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce) - **Company Website:** https://www.salesforce.com/ - **Year Founded:** 1999 - **HQ Location:** San Francisco, CA - **Twitter:** @salesforce (579,511 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (83,223 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 36% Mid-Market #### What Are Tableau's Pros and Cons? **Pros:** - Ease of Use (634 reviews) - Data Visualization (544 reviews) - Visualization (412 reviews) - Features (340 reviews) - Intuitive (309 reviews) **Cons:** - Learning Curve (275 reviews) - Learning Difficulty (234 reviews) - Expensive (217 reviews) - Slow Performance (151 reviews) - Difficulty (135 reviews) ### What Do G2 Reviewers Say About Tableau? *AI-generated summary from verified user reviews* **Pros:** - Users commend Tableau for its **ease of use** , enabling quick, clear data visualizations and smooth integration with Salesforce. - Users value Tableau's **interactive data visualization** features, enhancing performance tracking and decision-making through clear dashboards. - Users love Tableau for its **powerful data visualization** and intuitive interface, making complex data easy to understand. - Users love Tableau for its **ease of use** and ability to generate high-quality, engaging reports effortlessly. - Users find Tableau’s **intuitive design** empowering, allowing easy creation of interactive dashboards and insightful data visualizations. **Cons:** - Users find the **learning curve steep** in Tableau, making onboarding and integration with Salesforce challenging. - Users find **learning difficulties** with Tableau, especially in collaboration, calculations, and switching from familiar tools like MS products. - Users find Tableau to be **expensive** , often questioning its value compared to alternative visualization tools. - Users often face **slow performance** with Tableau when handling large datasets or during data refresh, leading to frustration. - Users find the **onboarding process complex** , often making simple tasks unnecessarily difficult due to high customization. #### What Are Recent G2 Reviews of Tableau? **"[Tableau Makes Business Data Easy to Explore with Interactive Dashboards](https://www.g2.com/survey_responses/tableau-review-13037513)"** **Rating:** 4.0/5.0 stars *— Vinodh Kumar E.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13037513) --- **"[A Great Tool for Everyday Data Analysis](https://www.g2.com/survey_responses/tableau-review-13035194)"** **Rating:** 5.0/5.0 stars *— Sahithya S.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13035194) --- #### What Are G2 Users Discussing About Tableau? - [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments - [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for) - [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments - [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments - [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment ### 2. [Alteryx](https://www.g2.com/products/alteryx/reviews) Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 826 **How Do G2 Users Rate Alteryx?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10) - **Data Workflows:** 9.2/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.4/10 (Category avg: 8.5/10) - **Data Joining:** 9.1/10 (Category avg: 8.9/10) **Who Is the Company Behind Alteryx?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** https://www.alteryx.com - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx (26,149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,304 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Financial Services, Accounting - **Company Size:** 63% Enterprise, 21% Mid-Market #### What Are Alteryx's Pros and Cons? **Pros:** - Ease of Use (333 reviews) - Automation (148 reviews) - Intuitive (132 reviews) - Easy Learning (102 reviews) - Efficiency (102 reviews) **Cons:** - Expensive (88 reviews) - Learning Curve (80 reviews) - Missing Features (62 reviews) - Learning Difficulty (55 reviews) - Slow Performance (41 reviews) ### What Do G2 Reviewers Say About Alteryx? *AI-generated summary from verified user reviews* **Pros:** - Users love the **user-friendly interface** of Alteryx, making it easy for anyone to efficiently complete tasks. - Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data processing tasks. - Users find Alteryx **very intuitive and easy to learn** , making technology accessible for non-technical individuals. - Users find Alteryx to be **very easy to learn and use** , enhancing their workflow automation and data analytics experience. - Users value the **efficiency** of Alteryx, effortlessly managing and processing data for streamlined analysis and reporting. **Cons:** - Users find the **pricing excessively high** , making it challenging for small teams and startups to afford. - Users face a **steep learning curve** with Alteryx, requiring time to master its advanced features and operations. - Users highlight the **missing features** in Alteryx, notably lacking good reporting and direct database access. - Users find the **learning difficulty** of Alteryx challenging, especially for those not familiar with RegEx or SQL. - Users experience **slow performance** with Alteryx, especially during analysis of large workflows, impacting efficiency. #### What Are Recent G2 Reviews of Alteryx? **"[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)"** **Rating:** 4.5/5.0 stars *— Akhil S.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12983224) --- **"[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)"** **Rating:** 4.5/5.0 stars *— Ankit K.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-13000974) --- ### 3. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. **Average Rating:** 4.3/5.0 **Total Reviews:** 758 **How Do G2 Users Rate SAS Viya?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.0/10) - **Data Workflows:** 8.5/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.5/10 (Category avg: 8.5/10) - **Data Joining:** 8.8/10 (Category avg: 8.9/10) **Who Is the Company Behind SAS Viya?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** https://www.sas.com/ - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Statistical Programmer - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (234 reviews) - Features (218 reviews) - Analytics (196 reviews) - Data Analysis (166 reviews) - User Interface (147 reviews) **Cons:** - Learning Difficulty (151 reviews) - Learning Curve (144 reviews) - Complexity (143 reviews) - Difficult Learning (117 reviews) - Expensive (108 reviews) ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in SAS Viya, enabling effortless data visualization and enhancing decision-making efficiency. - Users value the **advanced analytical capabilities** of SAS Viya, enhancing decision-making with a user-friendly interface. - Users appreciate the **sophisticated analytical methods** in SAS Viya, enhancing decision-making and providing valuable business insights. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and streamlining logistic data analysis. - Users value the **user-friendly interface** of SAS Viya, making complex analytics accessible to all skill levels. **Cons:** - Users find it **difficult for non-technical users** to navigate reports and dashboards, impacting their overall experience. - Users find the **learning curve challenging** , especially non-technical users struggling to access reports and dashboards. - Users find the **complexity of visualization** in SAS Viya challenging, especially for newcomers and non-technical individuals. - Users find the **difficult learning curve** of SAS Viya challenging, particularly for new and non-technical users. - Users find the pricing of SAS Viya to be **expensive** and often confusing without extensive communication. #### What Are Recent G2 Reviews of SAS Viya? **"[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)"** **Rating:** 5.0/5.0 stars *— Deependra G.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11702846) --- **"[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)"** **Rating:** 4.5/5.0 stars *— Venkatesh D.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-12682824) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### 4. [Domo](https://www.g2.com/products/domo/reviews) Domo's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions. **Average Rating:** 4.3/5.0 **Total Reviews:** 997 **How Do G2 Users Rate Domo?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10) - **Data Workflows:** 8.1/10 (Category avg: 8.8/10) - **Profiling and Classification:** 7.6/10 (Category avg: 8.5/10) - **Data Joining:** 8.9/10 (Category avg: 8.9/10) **Who Is the Company Behind Domo?** - **Seller:** [Domo](https://www.g2.com/sellers/domo) - **Company Website:** https://www.domo.com - **Year Founded:** 2010 - **HQ Location:** American Fork, UT - **Twitter:** @Domotalk (63,513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,305 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 49% Mid-Market, 29% Enterprise #### What Are Domo's Pros and Cons? **Pros:** - Ease of Use (247 reviews) - Data Visualization (116 reviews) - Intuitive (95 reviews) - Easy Integrations (92 reviews) - Integrations (88 reviews) **Cons:** - Learning Curve (66 reviews) - Missing Features (59 reviews) - Data Management Issues (55 reviews) - Expensive (44 reviews) - Complexity (43 reviews) ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users find Domo's **ease of use** beneficial, allowing non-tech savvy individuals to access and utilize data efficiently. - Users love the **flexible dashboards** of Domo, which simplify data visualization and enhance decision-making processes. - Users appreciate the **intuitive design** of Domo, making data management accessible for all skill levels. - Users value the **easy integrations** of Domo, allowing seamless data connectivity across various platforms for enhanced management. - Users value the **seamless integration** capabilities of Domo, enhancing their data management and decision-making processes. **Cons:** - Users find the **learning curve steep** , often needing to adapt to new features and manage glitches effectively. - Users find Domo lacks **key features** like flexible pivot charts and a clear consumption model, hindering usability. - Users face **data management issues** with Domo, citing unreliable connectors and challenges in generating accurate reports. - Users express concern about Domo's **expensive pricing** , citing drastic increases and lack of transparency in billing. - Users find Domo to be **complex and rigid** , making fast dataset changes and management difficult and time-consuming. #### What Are Recent G2 Reviews of Domo? **"[Interactive Real-Time Dashboards That Make Complex Data Easy](https://www.g2.com/survey_responses/domo-review-13003120)"** **Rating:** 5.0/5.0 stars *— Anil B.* [Read full review](https://www.g2.com/survey_responses/domo-review-13003120) --- **"[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)"** **Rating:** 5.0/5.0 stars *— Karthik S.* [Read full review](https://www.g2.com/survey_responses/domo-review-13032278) --- #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) - [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good) - [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do) ### 5. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience. **Average Rating:** 4.5/5.0 **Total Reviews:** 560 **How Do G2 Users Rate HubSpot Data Hub?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10) - **Data Workflows:** 9.8/10 (Category avg: 8.8/10) - **Profiling and Classification:** 9.6/10 (Category avg: 8.5/10) - **Data Joining:** 9.2/10 (Category avg: 8.9/10) **Who Is the Company Behind HubSpot Data Hub?** - **Seller:** [HubSpot](https://www.g2.com/sellers/hubspot) - **Company Website:** https://hubspot.com - **Year Founded:** 2006 - **HQ Location:** Cambridge, Massachusetts, United States - **Twitter:** @HubSpot (784,270 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/68529/ (12,158 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** CEO, Owner - **Top Industries:** Information Technology and Services, Marketing and Advertising - **Company Size:** 67% Small-Business, 30% Mid-Market #### What Are HubSpot Data Hub's Pros and Cons? **Pros:** - Ease of Use (113 reviews) - Data Management (88 reviews) - Automation (86 reviews) - Integrations (59 reviews) - Efficiency (48 reviews) **Cons:** - Limitations (53 reviews) - Missing Features (36 reviews) - Learning Curve (34 reviews) - Expensive (31 reviews) - Complexity (24 reviews) ### What Do G2 Reviewers Say About HubSpot Data Hub? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of HubSpot Data Hub, enjoying streamlined operations and effortless data management. - Users value the **two-way data sync** of HubSpot Data Hub, enabling efficient collaboration and accurate information across teams. - Users love the **automation capabilities** of HubSpot Data Hub, which significantly simplifies workflows and enhances operational efficiency. - Users appreciate the **seamless data integration** of HubSpot Data Hub, enhancing visibility and accuracy across teams. - Users value the **time-saving automation** of HubSpot Data Hub, enhancing efficiency and improving data quality significantly. **Cons:** - Users experience **slow performance** and find sharing settings complex, making data tools harder to locate. - Users are frustrated by **missing features** now hidden behind paywalls, limiting the value of HubSpot Data Hub. - Users find the **learning curve complex** , necessitating expert help and additional resources for effective implementation. - Users find HubSpot Data Hub **expensive** , making it challenging to justify costs while scaling data needs. - Users find the **complexity of advanced transformations** and workflows in HubSpot Data Hub challenging and time-consuming. #### What Are Recent G2 Reviews of HubSpot Data Hub? **"[HubSpot Data Hub simplifies and centralizes data with ease](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925)"** **Rating:** 5.0/5.0 stars *— Gabriel G.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925) --- **"[HubSpot Data Hub Keeps Customer Data Clean and Centralized](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)"** **Rating:** 4.0/5.0 stars *— Sagar K.* [Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615) --- #### What Are G2 Users Discussing About HubSpot Data Hub? - [What is HubSpot Operations Hub used for?](https://www.g2.com/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment ### 6. [dbt](https://www.g2.com/products/dbt/reviews) dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines. **Average Rating:** 4.7/5.0 **Total Reviews:** 207 **How Do G2 Users Rate dbt?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.0/10) - **Data Workflows:** 9.1/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.3/10 (Category avg: 8.5/10) - **Data Joining:** 9.1/10 (Category avg: 8.9/10) **Who Is the Company Behind dbt?** - **Seller:** [dbt Labs](https://www.g2.com/sellers/dbt-labs) - **Year Founded:** 2016 - **HQ Location:** Philadelphia, US - **Twitter:** @getdbt (14,792 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dbtlabs/ (874 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Analytics Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 56% Mid-Market, 27% Small-Business #### What Are dbt's Pros and Cons? **Pros:** - Ease of Use (34 reviews) - Features (21 reviews) - Automation (17 reviews) - Transformation (16 reviews) - Data Quality (14 reviews) **Cons:** - Limited Functionality (13 reviews) - Dependency Issues (12 reviews) - Steep Learning Curve (10 reviews) - Error Handling (9 reviews) - Error Reporting (9 reviews) ### What Do G2 Reviewers Say About dbt? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of dbt, appreciating its intuitive design and seamless integration with existing workflows. - Users value dbt for its **software engineering best practices** , ensuring maintainable SQL transformations and efficient collaboration. - Users appreciate dbt for its ability to **automate data workflows** , enhancing efficiency and maintainability in SQL transformations. - Users find dbt's **data transformation capabilities** invaluable, making data modeling and analytics workflow seamless and efficient. - Users appreciate the **data quality** ensured by dbt, enhancing integrity and transparency in their analytics workflow. **Cons:** - Users experience **limited functionality** with dbt, facing challenges with errors that disrupt project progress and debugging. - Users frequently face **dependency issues** in dbt, complicating troubleshooting and hindering progress due to model errors. - Users find dbt has a **steep learning curve** due to the need for mastering Jinja, Git, and managing complexities. - Users often struggle with **vague error messages and unhelpful logs** , making troubleshooting a frustrating experience in dbt. - Users experience **unclear error messages** when models fail, making troubleshooting and identifying issues a frustrating task. #### What Are Recent G2 Reviews of dbt? **"[dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features](https://www.g2.com/survey_responses/dbt-review-12712114)"** **Rating:** 5.0/5.0 stars *— Hithesh P.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12712114) --- **"[Simple SQL-Driven Materializations with Powerful Lineage](https://www.g2.com/survey_responses/dbt-review-12985641)"** **Rating:** 5.0/5.0 stars *— Anish G.* [Read full review](https://www.g2.com/survey_responses/dbt-review-12985641) --- #### What Are G2 Users Discussing About dbt? - [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments - [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments - [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment - [What is DBT tool used for?](https://www.g2.com/discussions/what-is-dbt-tool-used-for) - 2 comments ### 7. [Incorta](https://www.g2.com/products/incorta/reviews) Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com. **Average Rating:** 4.4/5.0 **Total Reviews:** 55 **How Do G2 Users Rate Incorta?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Data Workflows:** 8.7/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.6/10 (Category avg: 8.5/10) - **Data Joining:** 8.6/10 (Category avg: 8.9/10) **Who Is the Company Behind Incorta?** - **Seller:** [Incorta](https://www.g2.com/sellers/incorta) - **Company Website:** https://www.incorta.com/ - **Year Founded:** 2013 - **HQ Location:** San Mateo, CA - **LinkedIn® Page:** https://www.linkedin.com/company/incorta/ (348 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 56% Enterprise, 29% Mid-Market #### What Are Incorta's Pros and Cons? **Pros:** - Data Integration (1 reviews) - Easy Integrations (1 reviews) - Integrations (1 reviews) **Cons:** - Bugs (1 reviews) ### What Do G2 Reviewers Say About Incorta? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of integration** with various data sources in Incorta, streamlining their data management processes. - Users appreciate the **easy integrations** of Incorta, simplifying connections with various data sources and types. - Users value the **ease of integration** with various data sources and types, enhancing their data analysis experience. **Cons:** - Users often face **bugs** with the local data agent not supporting the latest JRE builds, causing compatibility issues. #### What Are Recent G2 Reviews of Incorta? **"[Great platformand support](https://www.g2.com/survey_responses/incorta-review-10853785)"** **Rating:** 5.0/5.0 stars *— Jeff W.* [Read full review](https://www.g2.com/survey_responses/incorta-review-10853785) --- **"[Facilitating presentation and information access](https://www.g2.com/survey_responses/incorta-review-9467627)"** **Rating:** 5.0/5.0 stars *— Elsayed H.* [Read full review](https://www.g2.com/survey_responses/incorta-review-9467627) --- #### What Are G2 Users Discussing About Incorta? - [Is Incorta a data warehouse?](https://www.g2.com/discussions/is-incorta-a-data-warehouse) - [What is Incorta?](https://www.g2.com/discussions/what-is-incorta) - [What do you know about Incorta?](https://www.g2.com/discussions/what-do-you-know-about-incorta) - [What is Incorta used for?](https://www.g2.com/discussions/what-is-incorta-used-for) - 1 comment ### 8. [DemandTools](https://www.g2.com/products/demandtools/reviews) DemandTools is the secure data quality platform that ensures your data remains your most valuable asset. With DemandTools, you manage your CRM data in minutes, not months, so you always have accurate, report-ready data enabling everyone to do their job more effectively, efficiently, and profitably. By fixing common data problems, automating data quality routines, and working within your specific processes and customizations, DemandTools gives stakeholders accurate insights and reporting, improves business efficiency, and gets you clean data faster, with less effort. DemandTools has 12 modules making it the most versatile and adaptable data quality solution for CRM. Data Quality Assessment Understand how strong or weak your data is and know where to focus remediation efforts. Module: Assess Duplicate Management Detect, eliminate, and prevent duplicate records from misleading your sales and marketing teams and causing friction in your customer journey. Modules: Dedupe, Convert, DupeBlocker, Match Data Migration Management Maintain data integrity while moving data into and out of Salesforce. Modules: Import, Export, Delete, Match Standardization, mass modification, and business insights. Apply record changes en masse and standardize data to get trustworthy insights in every report. Modules: Modify, Tune, Reassign Email Verification Verify email addresses in CRM to keep communication flowing with your customers. Module: Verify Get clean data and strengthen your business with DemandTools. DemandTools is part of the Validity portfolio, alongside BriteVerify for contact data validation and Litmus for email testing and deliverability — giving enterprise revenue and marketing teams a connected solution for data integrity, email performance, and program execution. **Average Rating:** 4.6/5.0 **Total Reviews:** 275 **How Do G2 Users Rate DemandTools?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10) - **Data Workflows:** 9.1/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.8/10 (Category avg: 8.5/10) - **Data Joining:** 9.2/10 (Category avg: 8.9/10) **Who Is the Company Behind DemandTools?** - **Seller:** [Validity Inc](https://www.g2.com/sellers/validity-inc) - **Company Website:** https://www.validity.com - **Year Founded:** 2018 - **HQ Location:** Boston, Massachusetts - **Twitter:** @TrustValidity (1,151 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/11679353/ (349 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Salesforce Administrator - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 48% Mid-Market, 33% Enterprise #### What Are DemandTools's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Duplicate Management (7 reviews) - Efficiency (4 reviews) - Problem Solving (4 reviews) - Salesforce Integration (4 reviews) **Cons:** - Limited Functionality (3 reviews) - Missing Features (3 reviews) - Poor Interface Design (2 reviews) - Slow Loading (2 reviews) - Slow Performance (2 reviews) ### What Do G2 Reviewers Say About DemandTools? *AI-generated summary from verified user reviews* **Pros:** - Users find DemandTools remarkably **easy to use** , simplifying duplicate management and customization for diverse needs. - Users love the **efficient duplicate management** capabilities of DemandTools, simplifying the identification and merging of duplicates seamlessly. - Users commend DemandTools for its **efficiency** in streamlining data management and simplifying the de-duping process. - Users find DemandTools a **powerful problem-solving tool** , effectively handling complex tasks like error fixing and data merging. - Users value the **Salesforce integration** of DemandTools for its user-friendly interface and efficient data management. **Cons:** - Users find the **limited functionality** of DemandTools frustrating, particularly in data cleaning and tag retention during scenarios. - Users are frustrated by the **missing features** in DemandTools, particularly regarding Dynamics integration and error tracking. - Users find the **poor interface design** of DemandTools unappealing, calling for improvements to enhance user-friendliness. - Users find the **slow loading** issue frustrating, particularly when handling large data sets during preview stages. - Users find the **slow performance** of DemandTools particularly noticeable when handling large data sets during previews. #### What Are Recent G2 Reviews of DemandTools? **"[The reason I don’t fear CSV files anymore.](https://www.g2.com/survey_responses/demandtools-review-11536972)"** **Rating:** 5.0/5.0 stars *— Vishal H.* [Read full review](https://www.g2.com/survey_responses/demandtools-review-11536972) --- **"[Efficient, Intuitive, and Time-Saving Data Migration with DemandTools](https://www.g2.com/survey_responses/demandtools-review-11884816)"** **Rating:** 5.0/5.0 stars *— Wendy P.* [Read full review](https://www.g2.com/survey_responses/demandtools-review-11884816) --- #### What Are G2 Users Discussing About DemandTools? - [What is DemandTools used for?](https://www.g2.com/discussions/what-is-demandtools-used-for) - 1 comment ### 9. [AWS Glue](https://www.g2.com/products/aws-glue/reviews) AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum. **Average Rating:** 4.3/5.0 **Total Reviews:** 194 **How Do G2 Users Rate AWS Glue?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10) - **Data Workflows:** 8.4/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.4/10 (Category avg: 8.5/10) - **Data Joining:** 8.8/10 (Category avg: 8.9/10) **Who Is the Company Behind AWS Glue?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 49% Enterprise, 29% Mid-Market #### What Are AWS Glue's Pros and Cons? **Pros:** - Ease of Use (6 reviews) - Data Integration (3 reviews) - ETL Solutions (3 reviews) - Features (3 reviews) - Simple (3 reviews) **Cons:** - Slow Performance (3 reviews) - Debugging Difficulty (2 reviews) - Difficult Debugging (2 reviews) - Performance Issues (2 reviews) - Time-Consuming (2 reviews) ### What Do G2 Reviewers Say About AWS Glue? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of AWS Glue, finding it simplifies data preparation and analytics processes. - Users value the **seamless data integration** capabilities of AWS Glue, simplifying analytics and machine learning processes. - Users appreciate the **fully managed ETL service** of AWS Glue, simplifying data integration and management significantly. - Users appreciate the **ability to simplify data preparation and integration** for analytics and machine learning with AWS Glue. - Users find AWS Glue's **ease of use** crucial for effective ETL operations and running jobs smoothly. **Cons:** - Users experience **slow performance** with AWS Glue, notably in job startup times and complex debugging issues. - Users find the **debugging difficulty** in AWS Glue challenging due to unclear error messages and complex processes. - Users find **difficult debugging** a challenge with AWS Glue due to vague error messages and complex processes. - Users report **performance issues** with AWS Glue, including slow startup times and complex debugging processes that hinder productivity. - Users find AWS Glue to be **time-consuming** , especially with slow startup times and complex debugging processes. #### What Are Recent G2 Reviews of AWS Glue? **"[Serverless ETL Made Easy with AWS Glue](https://www.g2.com/survey_responses/aws-glue-review-12864874)"** **Rating:** 5.0/5.0 stars *— mani s.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12864874) --- **"[AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration](https://www.g2.com/survey_responses/aws-glue-review-12380790)"** **Rating:** 4.5/5.0 stars *— Pradip G.* [Read full review](https://www.g2.com/survey_responses/aws-glue-review-12380790) --- #### What Are G2 Users Discussing About AWS Glue? - [What is AWS Glue and how it works?](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works) - 1 comment - [What does AWS Glue do?](https://www.g2.com/discussions/what-does-aws-glue-do) - 2 comments - [What are the main components of AWS Glue?](https://www.g2.com/discussions/what-are-the-main-components-of-aws-glue) - 2 comments - [What are the features of glue?](https://www.g2.com/discussions/what-are-the-features-of-glue) - 1 comment ### 10. [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](- https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D) **Average Rating:** 4.4/5.0 **Total Reviews:** 763 **How Do G2 Users Rate Qlik Sense?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.0/10) - **Data Joining:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Qlik Sense?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Who Uses This:** Consultant, Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 41% Mid-Market #### What Are Qlik Sense's Pros and Cons? **Pros:** - Ease of Use (55 reviews) - Data Visualization (31 reviews) - Analytics (28 reviews) - Insights Discovery (24 reviews) - Features (22 reviews) **Cons:** - Limited Features (17 reviews) - Missing Features (16 reviews) - Expensive (14 reviews) - Data Management (13 reviews) - Learning Curve (13 reviews) ### What Do G2 Reviewers Say About Qlik Sense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Qlik Sense, making data visualization and integration effortlessly efficient. - Users appreciate the **robust data visualization capabilities** of Qlik Sense, enabling them to create complex visuals effortlessly. - Users appreciate the **quick creation and deployment of analytics applications** with Qlik Sense, making reporting seamless and efficient. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and supporting effective decision-making. - Users value the **robust tools and versatility** of Qlik Sense for efficient data integration and insightful analytics. **Cons:** - Users find the **limited features** of Qlik Sense hinder their ability to create diverse visualizations effectively. - Users miss the **ability to add personal objects** in Qlik Sense SaaS, as compared to the on-premise version. - Users find Qlik Sense **very expensive** , making it a less accessible option for some businesses. - Users note the **limited automation in data management** and desire better organization for enhanced visualization capabilities. - Users find the **learning curve steep** due to the complexity of functions and integration challenges. #### What Are Recent G2 Reviews of Qlik Sense? **"[Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model](https://www.g2.com/survey_responses/qlik-sense-review-12963425)"** **Rating:** 4.5/5.0 stars *— Suman K.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425) --- **"[Visually Stunning, Excel-Like Ease on Web](https://www.g2.com/survey_responses/qlik-sense-review-12727600)"** **Rating:** 4.0/5.0 stars *— Adnan J.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600) --- #### What Are G2 Users Discussing About Qlik Sense? - [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for) - [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for) - [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment - [Is qlik sense good?](https://www.g2.com/discussions/is-qlik-sense-good) - 1 comment - [What can qlik sense do?](https://www.g2.com/discussions/what-can-qlik-sense-do) - 1 comment ### 11. [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. **Average Rating:** 4.5/5.0 **Total Reviews:** 89 **How Do G2 Users Rate KNIME?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.0/10) **Who Is the Company Behind KNIME?** - **Seller:** [KNIME](https://www.g2.com/sellers/knime) - **Company Website:** https://knime.com - **Year Founded:** 2008 - **HQ Location:** Zurich, Switzerland - **Twitter:** @knime (7,998 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/692207?trk=tyah&trkInfo=clickedVertical%3Acompany%2CclickedEntityId%3A692207%2Cidx%3A2-1-4%2CtarId%3A1454002156993%2Ctas%3Aknime (241 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Higher Education - **Company Size:** 43% Enterprise, 34% Mid-Market #### What Are KNIME's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Coding Ease (4 reviews) - Ease of Learning (4 reviews) - Learning (4 reviews) - Data Visualization (3 reviews) **Cons:** - Learning Difficulty (3 reviews) - Memory Usage (3 reviews) - Storage Limitations (3 reviews) - Data Management Issues (2 reviews) - Insufficient Learning Resources (2 reviews) ### What Do G2 Reviewers Say About KNIME? *AI-generated summary from verified user reviews* **Pros:** - Users find KNIME **extremely easy to use** , appreciating its intuitive interface and point-and-click workflow capabilities. - Users appreciate the **coding ease** of KNIME, allowing non-coders to build powerful workflows effortlessly. - Users appreciate the **ease of learning** with KNIME, allowing beginners to quickly start delivering results. - Users find KNIME to be **easy to learn** , enabling quick delivery of data solutions and enhancing workflow efficiency. - Users praise the **user-friendly data visualization tools** of KNIME, which simplify complex analyses for everyone. **Cons:** - Users find the **initial learning curve challenging** , especially for those new to data science or visual programming. - Users experience **memory availability issues** with KNIME, especially when handling large files, impacting performance and efficiency. - Users often face **storage limitations** with KNIME, experiencing slow performance and memory issues, especially with large datasets. - Users find that **data management issues** hinder their experience, particularly with file handling and database readability. - Users find the **lack of learning resources** frustrating, impacting their ability to fully utilize KNIME's features. #### What Are Recent G2 Reviews of KNIME? **"[KNIME’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI](https://www.g2.com/survey_responses/knime-review-12992618)"** **Rating:** 5.0/5.0 stars *— Guylaine B.* [Read full review](https://www.g2.com/survey_responses/knime-review-12992618) --- **"[KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals](https://www.g2.com/survey_responses/knime-review-12976842)"** **Rating:** 5.0/5.0 stars *— Charm M.* [Read full review](https://www.g2.com/survey_responses/knime-review-12976842) --- #### What Are G2 Users Discussing About KNIME? - [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for) - [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment - [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics) - [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good) - [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform) ### 12. [Coalesce](https://www.g2.com/products/coalesce-coalesce/reviews) What is Coalesce? Coalesce is the only data transformation platform built for scale, governance, and the AI-driven future. The platform provides data teams with an intuitive yet powerful interface to build, document, and manage data transformations 10x faster, all while maintaining standards and governance. With the addition of Coalesce Catalog, customers can now unify data transformation and metadata in a single solution—enabling better discovery, trust, and collaboration across the business. Coalesce simplifies data transformations with a visual, code-driven developer experience that helps data experts build manageable data pipelines at scale. By boosting data team productivity by 10x+, Coalesce helps SQL users of all experience levels deliver data projects as efficiently as possible, turn raw data into meaningful insights and avoid creating tech debt. How does Coalesce work? Coalesce automates in-database transformations, giving developers the flexibility to code as they like using an easy-to-learn graphical user interface (GUI) and codify repetitive work as needed. Coalesce enables data teams to extend and scale their projects using customizable templates for frequently-used transformations and by automatically generating standardized, best-practice SQL. Why Coalesce? Transform your data into discoverable, well-documented assets that everyone can use and understand. Coalesce speeds up development in a standardized way, making it simpler and faster to build complex pipelines of any size. Deliver ready-to-use data from day one: Coalesce brings speed, structure, and control to the transformation layer. With built-in structure and repeatable logic, Coalesce lets teams spend less time on low-level tasks and more time making data accessible and trustworthy. Build pipelines with precision: Coalesce delivers a powerful low-code experience that generates clean, performant SQL behind the scenes. With visual workflows, reusable logic, and version tracking, teams can transform data consistently and at scale without getting bogged down in manual work. AI-ready from the start: Coalesce Copilot uses AI to streamline documentation and boost data quality. With auto-generated lineage and smart metadata built in, your data is always prepared for analytics, machine learning, and beyond. Govern as you go: Don’t let governance be an afterthought. Coalesce tightly integrates data cataloging and transformation, giving every pipeline the context, documentation, and oversight it needs. That means consistent, compliant data across any data platform you’re using. What Data Platforms does Coalesce support? Coalesce supports Snowflake, Databricks, Microsoft Fabric, and Google BigQuery. How much does Coalesce cost? Coalesce customizes licensing to fit your data team's development needs, ensuring you only pay for what you need. For more information, request a custom quote or contact our sales team. How do I know if Coalesce is the right data transformation solution for my company? Coalesce is designed to be easy to learn and empower a wide spectrum of skill sets, ranging from data engineers and architects to data scientists and analysts. By pairing an intuitive GUI with code-driven capabilities, Coalesce helps data teams get ramped up quickly and enables seasoned data professionals to get up to speed on projects in half the time, and maximize their impact by working more productively How secure is Coalesce? Coalesce never stores your data at rest, and data in motion is always encrypted. After pipelines are deployed to production, all data refreshes are performed entirely within your data platform, meaning data never leaves the data warehouse. What data warehousing methodologies does Coalesce support? Coalesce supports all data warehousing methodologies, including Data Vault 2.0. How do I get Started with Coalesce? You can start using Coalesce today by creating a free 14-day trial, or by launching Coalesce from within your Snowflake account with Snowflake Partner Connect. **Average Rating:** 4.7/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Coalesce?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10) - **Data Workflows:** 9.0/10 (Category avg: 8.8/10) - **Profiling and Classification:** 7.4/10 (Category avg: 8.5/10) - **Data Joining:** 9.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Coalesce?** - **Seller:** [Coalesce](https://www.g2.com/sellers/coalesce) - **Company Website:** https://coalesce.io/ - **Year Founded:** 2020 - **HQ Location:** San Francisco, CA - **LinkedIn® Page:** https://www.linkedin.com/company/coalesceio/ (118 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 38% Enterprise, 29% Mid-Market #### What Are Coalesce's Pros and Cons? **Pros:** - Ease of Use (19 reviews) - Automation (8 reviews) - Customer Support (8 reviews) - Intuitive (8 reviews) - Features (7 reviews) **Cons:** - UI Design Issues (3 reviews) - Integration Issues (2 reviews) - Learning Curve (2 reviews) - Limitations (2 reviews) - Poor Documentation (2 reviews) ### What Do G2 Reviewers Say About Coalesce? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Coalesce, making it accessible for both technical and non-technical users. - Users appreciate the **automation features** of Coalesce, enabling significant time savings and effortless data management. - Users praise the **excellent customer support** from Coalesce, which enhances their overall experience and implementation speed. - Users find Coalesce **intuitive and easy to use** , making onboarding simple, even for nontechnical team members. - Users value the **ease of use and rapid implementation** of Coalesce, enhancing data transformation efficiency and accessibility. **Cons:** - Users find the **UI design issues** challenging, particularly regarding navigation and missing usability features like an undo button. - Users face **integration issues** with Coalesce, limiting compatibility with other tools and complicating git management. - Users note a **steep learning curve** due to limited online courses and fewer integrations with other tools. - Users note significant **limitations** in Coalesce, particularly with credential management and cumbersome SQL code transformations. - Users note the **poor documentation** for Coalesce, expressing a need for detailed guides and role management tools. #### What Are Recent G2 Reviews of Coalesce? **"[Streamlined Data Warehousing](https://www.g2.com/survey_responses/coalesce-review-12264947)"** **Rating:** 5.0/5.0 stars *— Anthony P.* [Read full review](https://www.g2.com/survey_responses/coalesce-review-12264947) --- **"[Coalesce Supercharges Data Warehousing with No‑Code Speed and Best Practices](https://www.g2.com/survey_responses/coalesce-review-12256572)"** **Rating:** 5.0/5.0 stars *— Nicholas M.* [Read full review](https://www.g2.com/survey_responses/coalesce-review-12256572) --- ### 13. [OWOX](https://www.g2.com/products/owox/reviews) OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you! **Average Rating:** 4.9/5.0 **Total Reviews:** 290 **How Do G2 Users Rate OWOX?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) **Who Is the Company Behind OWOX?** - **Seller:** [OWOX](https://www.g2.com/sellers/owox) - **Year Founded:** 2002 - **HQ Location:** WALNUT, California - **Twitter:** @owox (435 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1721152/ (68 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Chief Marketing Officer, CEO - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 48% Small-Business, 43% Mid-Market #### What Are OWOX's Pros and Cons? **Pros:** - Ease of Use (21 reviews) - Helpful (15 reviews) - Data Management (14 reviews) - Customer Support (13 reviews) - Analytics (7 reviews) **Cons:** - Data Management Issues (4 reviews) - Error Handling (3 reviews) - Expensive (2 reviews) - Integration Issues (2 reviews) - Lack of Information (2 reviews) ### What Do G2 Reviewers Say About OWOX? *AI-generated summary from verified user reviews* **Pros:** - Users find OWOX to be **easy to use** , allowing quick data exports and effortless report generation. - Users value the **excellent support team** of OWOX, ensuring effective communication and swift problem resolution. - Users value the **transparency and accessibility** of OWOX Data Management, enhancing data ownership and business flexibility. - Users commend the **excellent customer support** of OWOX, highlighting prompt and expert assistance for all inquiries. - Users value the **accurate user behavior tracking** of OWOX, enhancing data-driven marketing strategies and insights. **Cons:** - Users report significant **data management issues** , including errors in updates and limitations in schedule adjustments. - Users report **inadequate error handling** in OWOX, leading to delays in data error detection and management challenges. - Users find the pricing structure **expensive** , wishing for lower costs to enhance their overall experience. - Users point out the need for improved **integration with third-party apps** to enhance the overall experience. - Users seek more **video instructions** and updated information to enhance their experience with OWOX. #### What Are Recent G2 Reviews of OWOX? **"[Nice team and Tracking & Attribution Solution](https://www.g2.com/survey_responses/owox-review-9851467)"** **Rating:** 4.5/5.0 stars *— Serhii K.* [Read full review](https://www.g2.com/survey_responses/owox-review-9851467) --- **"[Simple and helpful](https://www.g2.com/survey_responses/owox-review-9843178)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/owox-review-9843178) --- #### What Are G2 Users Discussing About OWOX? - [What is OWOX BI used for?](https://www.g2.com/discussions/what-is-owox-bi-used-for) - 1 comment ### 14. [DataGroomr](https://www.g2.com/products/datagroomr/reviews) DataGroomr is the leading AI-powered Salesforce data quality platform, helping organizations identify duplicates, merge records, standardize data, enrich information, verify accuracy, and automate ongoing data maintenance all from a single, easy-to-use solution. Clean, reliable data is essential for sales, marketing, customer support, operations, and finance teams. Yet duplicate records, incomplete information, inconsistent formats, and outdated data continue to create costly challenges that impact productivity, reporting accuracy, customer experiences, and business decisions. DataGroomr solves these challenges with advanced artificial intelligence that continuously monitors and improves Salesforce data quality. Unlike traditional tools that depend on complex matching rules and ongoing maintenance, DataGroomr uses AI-powered matching to accurately identify duplicate records across Accounts, Contacts, Leads, and other Salesforce objects with little to no configuration required. The platform helps organizations uncover more duplicates with greater accuracy, merge records safely and efficiently, automate deduplication processes, and prevent new duplicates from entering Salesforce. Intelligent matching continuously learns from data patterns and user actions to improve performance over time. Beyond duplicate management, DataGroomr provides comprehensive data quality capabilities including data standardization, email, phone, and address verification, and agentic data enrichment. Teams can fill in missing information, improve record completeness, maintain consistent formatting, and ensure customer and prospect data remains accurate and actionable. DataGroomr also supports key Salesforce workflows, including lead conversion, bulk record management, and import preparation. Organizations can identify and resolve data quality issues before they impact users, reports, automations, integrations, or downstream systems. With powerful automation, intuitive workflows, and real-time visibility into data quality health, DataGroomr makes it easy to establish and maintain trusted Salesforce data at scale. Customers benefit from improved user confidence, more accurate reporting, stronger operational efficiency, and better business outcomes. Trusted by organizations of all sizes and backed by exceptional customer support, DataGroomr delivers a smarter, simpler approach to Salesforce data quality, helping teams spend less time fixing data and more time using it. Start your free trial at: http://www.datagroomr.com **Average Rating:** 4.8/5.0 **Total Reviews:** 35 **How Do G2 Users Rate DataGroomr?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.0/10) - **Data Workflows:** 8.9/10 (Category avg: 8.8/10) - **Profiling and Classification:** 9.1/10 (Category avg: 8.5/10) - **Data Joining:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind DataGroomr?** - **Seller:** [DataGroomr](https://www.g2.com/sellers/datagroomr) - **Year Founded:** 2018 - **HQ Location:** Philadelphia, PA - **LinkedIn® Page:** https://www.linkedin.com/company/datagroomr/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Non-Profit Organization Management - **Company Size:** 63% Mid-Market, 20% Small-Business #### What Are DataGroomr's Pros and Cons? **Pros:** - Duplicate Management (21 reviews) - Ease of Use (21 reviews) - Customer Support (17 reviews) - Intuitive (12 reviews) - Salesforce Integration (12 reviews) **Cons:** - Learning Curve (6 reviews) - Complexity (4 reviews) - Difficult Learning Curve (3 reviews) - Difficult Setup (3 reviews) - Learning Difficulty (3 reviews) ### What Do G2 Reviewers Say About DataGroomr? *AI-generated summary from verified user reviews* **Pros:** - Users value the **efficient duplicate management** of DataGroomr, significantly reducing cleanup time and enhancing data quality. - Users appreciate the **fast and easy-to-use interface** of DataGroomr, streamlining data cleanup and ensuring high quality. - Users praise the **exceptional customer support** of DataGroomr, highlighting their willingness to assist and troubleshoot effectively. - Users value the **intuitive interface** of DataGroomr, enabling efficient use and easy setup for all team members. - Users appreciate the **seamless Salesforce integration** of DataGroomr, enhancing data quality and improving operational efficiency. **Cons:** - Users note a **steep learning curve** with DataGroomr, requiring time to master its many tools and features. - Users note a **complexity in creating field matching rules** in DataGroomr, indicating a steep learning curve for new users. - Users note a **difficult learning curve** with DataGroomr, requiring time to fully grasp its complex functionalities. - Users find the **difficult setup** of DataGroomr challenging, but appreciate the team's support in resolving issues. - Users warn of a **learning difficulty** with DataGroomr, emphasizing the need for time and support to master it. #### What Are Recent G2 Reviews of DataGroomr? **"[Great Dashboard and AI Rule Generation That Speeds Up Data Cleaning](https://www.g2.com/survey_responses/datagroomr-review-12264292)"** **Rating:** 5.0/5.0 stars *— John G.* [Read full review](https://www.g2.com/survey_responses/datagroomr-review-12264292) --- **"[Reliable and efficient tool for Salesforce data management](https://www.g2.com/survey_responses/datagroomr-review-11574634)"** **Rating:** 5.0/5.0 stars *— Jimmy L.* [Read full review](https://www.g2.com/survey_responses/datagroomr-review-11574634) --- ### 15. [Savant Labs](https://www.g2.com/products/savant-labs/reviews) Savant is an AI automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed workflows, so teams can be more efficient without sacrificing accuracy, control, or compliance. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance is built in, not bolted on: Audit trail, data lineage, SOX controls, and role-based access are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered data automation: Automate any data task end to end — prep, blending, transformation, publishing, and alerting. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Deterministic workflow engine: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail and data lineage: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - User-friendly interface: No SQL, no code, no IT tickets. If your team can use Excel, they can build and run workflows in Savant. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing **Average Rating:** 4.7/5.0 **Total Reviews:** 50 **How Do G2 Users Rate Savant Labs?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.0/10) - **Data Workflows:** 9.3/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.0/10 (Category avg: 8.5/10) - **Data Joining:** 9.4/10 (Category avg: 8.9/10) **Who Is the Company Behind Savant Labs?** - **Seller:** [Savant Labs](https://www.g2.com/sellers/savant-labs) - **Company Website:** https://www.savantlabs.io - **Year Founded:** 2021 - **HQ Location:** San Francisco, California - **LinkedIn® Page:** https://www.linkedin.com/company/savant-labs (61 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Logistics and Supply Chain - **Company Size:** 43% Enterprise, 39% Mid-Market #### What Are Savant Labs's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Customer Support (9 reviews) - User Interface (7 reviews) - Integrations (6 reviews) - Scalability (6 reviews) **Cons:** - Learning Curve (7 reviews) - Learning Difficulty (6 reviews) - Integration Issues (3 reviews) - Access Issues (2 reviews) - Data Management (2 reviews) ### What Do G2 Reviewers Say About Savant Labs? *AI-generated summary from verified user reviews* **Pros:** - Users find Savant Labs' **ease of use** invaluable, simplifying data analysis without the need for coding skills. - Users praise the **extremely positive and speedy customer support** of Savant Labs, enhancing their overall experience and satisfaction. - Users love the **intuitive and user-friendly interface** of Savant Labs, making data analytics accessible and efficient. - Users love the **easy integration** of Savant Labs, simplifying data connectivity with seamless setup and support. - Users value the **scalability** of Savant Labs, finding it easy to adapt and automate analyses with minimal effort. **Cons:** - Users find the **unique learning curve** of Savant Labs challenging, requiring practice and adaptation to master the platform. - Users note a **steep learning curve** for Savant Labs, requiring practice and resources to achieve fluency. - Users face **integration issues** with Savant Labs, struggling with data updates and tool compatibility, complicating analyses. - Users often face **access issues** with Savant Labs, struggling to log in and navigate complex features effectively. - Users experience **data management difficulties** with updates and refreshes, impacting workflow efficiency in Savant Labs. #### What Are Recent G2 Reviews of Savant Labs? **"[Faster close + auditors actually trust our process now](https://www.g2.com/survey_responses/savant-labs-review-12941283)"** **Rating:** 5.0/5.0 stars *— Lawrence M.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-12941283) --- **"[Automated sales tax reconciliation and significantly shortened month-end close](https://www.g2.com/survey_responses/savant-labs-review-12942104)"** **Rating:** 5.0/5.0 stars *— Marlene S.* [Read full review](https://www.g2.com/survey_responses/savant-labs-review-12942104) --- ### 16. [Visier](https://www.g2.com/products/visier/reviews) Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com. **Average Rating:** 4.6/5.0 **Total Reviews:** 219 **How Do G2 Users Rate Visier?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10) - **Data Workflows:** 8.1/10 (Category avg: 8.8/10) - **Profiling and Classification:** 7.9/10 (Category avg: 8.5/10) - **Data Joining:** 7.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Visier?** - **Seller:** [Visier](https://www.g2.com/sellers/visier-8c589666-edc0-409b-b9fb-0df31e55c335) - **Year Founded:** 2010 - **HQ Location:** Vancouver, British Columbia - **Twitter:** @visier (6,164 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/visier-analytics/ (555 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Hospital & Health Care, Information Technology and Services - **Company Size:** 82% Enterprise, 17% Mid-Market #### What Are Visier's Pros and Cons? **Pros:** - Ease of Use (25 reviews) - Data Analysis (22 reviews) - Insights (19 reviews) - Data Visualization (18 reviews) - Time-saving (18 reviews) **Cons:** - Learning Difficulty (12 reviews) - Expensive (11 reviews) - Learning Curve (8 reviews) - Complexity (7 reviews) - Limited Customization (7 reviews) ### What Do G2 Reviewers Say About Visier? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Visier, appreciating its self-service platform and supportive team. - Users value the **powerful data analysis** capabilities of Visier, enabling seamless insights from diverse data sources. - Users value the **quick data integration and insightful metrics** from Visier, enhancing decision-making and organizational health. - Users appreciate the **data visualization capabilities** of Visier, enabling quick insights without complex dashboard setups. - Users value the **time-saving capabilities** of Visier, enabling quick data ingestion and streamlined analytics for better insights. **Cons:** - Users find **learning difficulty** in mastering Visier's interface and company-specific metrics, often needing team assistance. - Users find Visier to be **expensive** , limiting full adoption and hindering satisfaction with essential features and data access. - Users find the **steep learning curve** challenging, especially when adapting to new data analytics tools. - Users find the **complexity of customization** in Visier challenging, especially for users transitioning from more flexible tools. - Users find **limited customization** options in Visier, especially compared to more flexible tools like Tableau and Power BI. #### What Are Recent G2 Reviews of Visier? **"[Great Analytics tool!](https://www.g2.com/survey_responses/visier-review-11724107)"** **Rating:** 4.0/5.0 stars *— Verified User in Food & Beverages* [Read full review](https://www.g2.com/survey_responses/visier-review-11724107) --- **"[Great tool to support people analytics functions](https://www.g2.com/survey_responses/visier-review-11716065)"** **Rating:** 4.5/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/visier-review-11716065) --- #### What Are G2 Users Discussing About Visier? - [Is Visier cloud based?](https://www.g2.com/discussions/is-visier-cloud-based) - 1 comment - [What is visier service portal?](https://www.g2.com/discussions/what-is-visier-service-portal) - [Is visier a good company?](https://www.g2.com/discussions/is-visier-a-good-company) - [What is visier used for?](https://www.g2.com/discussions/what-is-visier-used-for) ### 17. [Qlik Talend Cloud](https://www.g2.com/products/qlik-talend-cloud/reviews) Qlik Talend Cloud offers extensive data integration capabilities plus data quality and governance. Available in Starter, Standard, Premium, and Enterprise editions, it provides features such as bulk and incremental replication, log-based CDC, no-code/low-code/pro-code data pipeline development, a data products catalog, and more . Qlik Talend Cloud can automate the design, creation and continuous update of data warehouses, lakehouses, and AI-ready data lakes on any cloud platform. It offers real-time or near-real-time data integration across heterogeneous environments, supporting critical workloads like fraud detection and AI inference. Qlik Talend Cloud has a scalable 'go-as-you-grow' approach, and supports multiple data integration patterns. Globally available on cloud infrastructure, this unified platform is designed to provide a trusted data foundation for AI and support various data integration needs across organizations of all sizes. **Average Rating:** 4.6/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Qlik Talend Cloud?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.0/10) - **Data Workflows:** 10.0/10 (Category avg: 8.8/10) - **Profiling and Classification:** 10.0/10 (Category avg: 8.5/10) - **Data Joining:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Qlik Talend Cloud?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 38% Small-Business #### What Are Qlik Talend Cloud's Pros and Cons? **Pros:** - API Integration (1 reviews) - Automation (1 reviews) - Cloud Computing (1 reviews) - Data Management (1 reviews) - Data Pipelining (1 reviews) ### What Do G2 Reviewers Say About Qlik Talend Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **API integration** of Qlik Talend Cloud, simplifying the setup of data ingestion pipelines effectively. - Users value the **automation capabilities** of Qlik Talend Cloud, streamlining data ingestion without extra infrastructure setup. - Users admire the **infrastructure-free data ingestion** capabilities of Qlik Talend Cloud, simplifying their pipeline management. - Users value the **easy data ingestion** capabilities of Qlik Talend Cloud, streamlining processes without extra infrastructure. - Users value the **ease of building data ingestion pipelines** in Qlik Talend Cloud without additional infrastructure setup. #### What Are Recent G2 Reviews of Qlik Talend Cloud? **"[As a startup - upsolver offers a great platform to transfer , manage and transform data at ease!](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042)"** **Rating:** 5.0/5.0 stars *— Ido A.* [Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-5373042) --- **"[Great Tool to Setup Data Ingestion pipeline](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/qlik-talend-cloud-review-8121211) --- ### 18. [Gathr.ai](https://www.g2.com/products/gathr-ai/reviews) Gathr.ai powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the ‘why’, ‘what-if’, and ‘how do I’ questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization’s existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on Gathr.ai to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, Gathr.ai delivers agility, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit speed and full extension freedom. **Average Rating:** 4.8/5.0 **Total Reviews:** 33 **How Do G2 Users Rate Gathr.ai?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Data Workflows:** 8.3/10 (Category avg: 8.8/10) - **Profiling and Classification:** 10.0/10 (Category avg: 8.5/10) - **Data Joining:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind Gathr.ai?** - **Seller:** [Gathr.ai](https://www.g2.com/sellers/gathr-ai) - **Year Founded:** 2022 - **HQ Location:** Los Gatos, CA, US - **LinkedIn® Page:** https://www.linkedin.com/company/gathr-one (57 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Associate Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 79% Mid-Market, 21% Enterprise #### What Are Gathr.ai's Pros and Cons? **Pros:** - Integrations (9 reviews) - Data Management (7 reviews) - Drag (6 reviews) - Ease of Use (6 reviews) - Easy Integrations (6 reviews) **Cons:** - Access Issues (1 reviews) - Connection Issues (1 reviews) - Difficult Setup (1 reviews) - Lack of Real-Time Data (1 reviews) - Performance Optimization (1 reviews) ### What Do G2 Reviewers Say About Gathr.ai? *AI-generated summary from verified user reviews* **Pros:** - Users love the **seamless integrations** of Gathr.ai, enabling efficient data processing and analytics without complex setups. - Users find Gathr.ai's **data management capabilities** exceptional for enhancing data quality and streamlining insights efficiently. - Users value the **easy drag-and-drop UI** of Gathr.ai for quickly building and configuring ETL applications. - Users find Gathr.ai's **ease of use** invaluable, allowing seamless ETL creation and data integration with minimal effort. - Users commend Gathr.ai for its **easy integrations** , enabling seamless data management and fostering rapid application development. **Cons:** - Users report **access issues** due to the need for additional native connectors, complicating integrations with Gathr.ai. - Users often experience **connection issues** with legacy systems, but support offers prompt solutions and updates. - Users note that **difficult setup** for custom connectors can hinder efficiency, though it's not a major drawback. - Users express concerns over the **lack of real-time data** , making performance evaluation and improvement challenging. - Users find that **performance optimization requires technical knowledge** , making it challenging to monitor real-time streaming data transfers. #### What Are Recent G2 Reviews of Gathr.ai? **"[Enables deep, self-service data exploration](https://www.g2.com/survey_responses/gathr-ai-review-11440931)"** **Rating:** 5.0/5.0 stars *— Neha G.* [Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11440931) --- **"[Simplified data transformation for GenAI success](https://www.g2.com/survey_responses/gathr-ai-review-11262615)"** **Rating:** 4.5/5.0 stars *— siddharth g.* [Read full review](https://www.g2.com/survey_responses/gathr-ai-review-11262615) --- ### 19. [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews) IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud **Average Rating:** 4.2/5.0 **Total Reviews:** 161 **How Do G2 Users Rate IBM Watson Studio?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.0/10) - **Data Workflows:** 9.2/10 (Category avg: 8.8/10) - **Profiling and Classification:** 9.0/10 (Category avg: 8.5/10) - **Data Joining:** 9.1/10 (Category avg: 8.9/10) **Who Is the Company Behind IBM Watson Studio?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Enterprise, 31% Small-Business #### What Are IBM Watson Studio's Pros and Cons? **Pros:** - AI Capabilities (4 reviews) - AI Technology (4 reviews) - Ease of Use (4 reviews) - Machine Learning (4 reviews) - AI Integration (3 reviews) **Cons:** - Expensive (3 reviews) - Learning Curve (3 reviews) - Steep Learning Curve (3 reviews) - Complex Interface (1 reviews) - Complexity (1 reviews) ### What Do G2 Reviewers Say About IBM Watson Studio? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing time spent on manual data processing. - Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work and enhancing productivity. - Users appreciate the **ease of use** of IBM Watson Studio, benefiting from its intuitive interface and seamless integration. - Users appreciate the **Auto AI capability** in IBM Watson Studio, significantly reducing manual work and enhancing productivity. - Users highlight the **easy AI integration** of IBM Watson Studio, enhancing control and efficiency in their projects. **Cons:** - Users note the **high cost** of IBM Watson Studio, making it less accessible for individuals and small startups. - Users find the **steep learning curve** of IBM Watson Studio challenging, requiring significant time to master its extensive features. - Users find the **steep learning curve** of IBM Watson Studio challenging, especially for beginners navigating its complex features. - Users find the **complex interface** of IBM Watson Studio challenging, especially beginners facing a steep learning curve. - Users find the **steep learning curve** of IBM Watson Studio challenging, especially due to its complex interface. #### What Are Recent G2 Reviews of IBM Watson Studio? **"[Robust Platform for Seamless Data Science Collaboration](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)"** **Rating:** 4.5/5.0 stars *— Naimish M.* [Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951) --- **"[Game-Changing Experience with AutoAI and ModelOps in IBM Watson Studio](https://www.g2.com/survey_responses/ibm-watson-studio-review-12176009)"** **Rating:** 4.5/5.0 stars *— Verified User in Higher Education* [Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12176009) --- #### What Are G2 Users Discussing About IBM Watson Studio? - [What is IBM Watson Studio used for?](https://www.g2.com/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote - [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio) - [Is IBM Watson Studio free?](https://www.g2.com/discussions/is-ibm-watson-studio-free) - [How do I use IBM Watson Studio?](https://www.g2.com/discussions/how-do-i-use-ibm-watson-studio) - [What does IBM Watson Studio do?](https://www.g2.com/discussions/what-does-ibm-watson-studio-do) ### 20. [SAS Data Management](https://www.g2.com/products/sas-data-management/reviews) SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes. **Average Rating:** 4.1/5.0 **Total Reviews:** 97 **How Do G2 Users Rate SAS Data Management?** - **Has the product been a good partner in doing business?:** 8.1/10 (Category avg: 9.0/10) - **Data Workflows:** 9.8/10 (Category avg: 8.8/10) - **Profiling and Classification:** 9.6/10 (Category avg: 8.5/10) - **Data Joining:** 9.6/10 (Category avg: 8.9/10) **Who Is the Company Behind SAS Data Management?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Top Industries:** Higher Education, Research - **Company Size:** 51% Enterprise, 26% Small-Business #### What Are SAS Data Management's Pros and Cons? **Pros:** - Ease of Use (12 reviews) - Analytics (5 reviews) - Data Cleaning (4 reviews) - Data Quality (4 reviews) - Data Management (3 reviews) **Cons:** - Expensive (7 reviews) - Not User-Friendly (3 reviews) - Slow Performance (3 reviews) - Training Required (3 reviews) - Complexity (2 reviews) ### What Do G2 Reviewers Say About SAS Data Management? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in SAS Data Management, enabling effective data preparation without complex coding. - Users value the **ease of data transformation** in SAS Data Management, streamlining analytics without complex coding. - Users appreciate the **robust data cleaning tools** in SAS Data Management, ensuring accuracy and consistency for analytics projects. - Users find that **SAS Data Management enhances data quality** , making analytics projects easier and more effective. - Users value the **strong SAS language support** for data transformation, ensuring legacy code runs seamlessly and efficiently. **Cons:** - Users find the **expensive pricing** of SAS Data Management to be a significant barrier to accessibility and usability. - Users find SAS Data Management to have a **not user-friendly interface** , making navigation challenging for less experienced individuals. - Users experience **slow performance** when handling large datasets, leading to frustration and extended report retrieval times. - Users find that the **training required** for SAS Data Management can be challenging for non-technical individuals. - Users find the **complexity** of SAS Data Management necessitates advanced statistical knowledge, limiting accessibility for some users. #### What Are Recent G2 Reviews of SAS Data Management? **"[Sas Data integration studio review](https://www.g2.com/survey_responses/sas-data-management-review-11499859)"** **Rating:** 5.0/5.0 stars *— sai bharath M.* [Read full review](https://www.g2.com/survey_responses/sas-data-management-review-11499859) --- **"[Effortless Data Proficiency Management](https://www.g2.com/survey_responses/sas-data-management-review-12704573)"** **Rating:** 5.0/5.0 stars *— Han L.* [Read full review](https://www.g2.com/survey_responses/sas-data-management-review-12704573) --- #### What Are G2 Users Discussing About SAS Data Management? - [What is SAS Data Governance used for?](https://www.g2.com/discussions/what-is-sas-data-governance-used-for) - [What is SAS Scoring Accelerator used for?](https://www.g2.com/discussions/what-is-sas-scoring-accelerator-used-for) ### 21. [Solvexia](https://www.g2.com/products/solvexia/reviews) Solvexia is the reconciliation platform built for complex, high-volume finance operations. It is used by finance and accounting teams that have outgrown spreadsheets and basic reconciliation tools, and need a platform that handles the scale, complexity, and data fragmentation that standard solutions cannot. Most reconciliation tools work well for simple, structured data. Solvexia is designed for environments where matching is difficult, data comes from multiple disconnected sources, and manual workarounds have become the norm. In high-volume environments, that gap between what standard tools can do and what the business actually requires is where Solvexia operates. Who uses Solvexia? Solvexia is typically used by mid-sized and enterprise finance teams running high-volume reconciliation processes across multiple data sources and entities. Common users include financial controllers, reconciliation managers, and finance operations teams responsible for transaction reconciliation, regulatory reporting, financial close activities, and data validation at scale. It is commonly adopted when ERP reconciliation breaks down under the weight of non-standard matching rules or unexpected data volumes, when spreadsheet workarounds have become unmanageable, or when the reconciliation process itself — not just the management of it — is the bottleneck. Core capabilities: 1. Matching intelligence that handles what others can't Solvexia automates reconciliation at a level of complexity where other tools break down. It supports one-to-many and many-to-many matching, partial matches, and timing differences across fragmented, multi-source data. Exceptions are handled automatically, without manual workarounds, and match rates are maintained even as data complexity and transaction volumes increase. Across finance teams dealing with high transaction volumes and non-standard matching requirements, Solvexia is known for maintaining high match rates where other platforms require manual intervention to fill the gaps. 2. Data connectivity across every source Solvexia connects every data source into a single automated reconciliation workflow. ERPs, bank files, payment processors like Stripe and PayPal, Excel, APIs, and databases all feed into one process, regardless of format or volume. There is no need to normalize data before it enters the platform or build custom pipelines to make sources compatible. In high-volume environments where data is spread across multiple systems with inconsistent formats, Solvexia centralizes the entire process without requiring technical resources to maintain the connections. 3. Built to scale with transaction volume, not against it Unlike tools that slow down or produce degraded match rates as data volumes grow, Solvexia is built for it. The platform handles thousands to millions of transactions without performance trade-offs, making it suitable for organizations where transaction volumes fluctuate significantly or are expected to grow. Solvexia is often used when finance teams have hit the ceiling of what their current reconciliation tool or spreadsheet process can handle, and need a platform that scales with the business rather than requiring a rebuild every time volume increases. 4. Finance-led automation, no IT dependency Workflows in Solvexia are built and maintained by finance teams, not developers. Matching logic, workflow rules, and data connections are all configurable without custom code or technical resources. There is no IT backlog standing between a finance team and a working reconciliation process, and no dependency on development resources to make changes when business requirements evolve. This matters in practice: finance teams can implement, adjust, and maintain their own processes independently, which reduces time-to-value and keeps the platform responsive to how the business actually works. 5. Workflow control and process governance Solvexia provides configurable workflows that support approvals, reviews, commentary, and audit trails. These controls allow finance teams to enforce consistent process execution, manage exceptions, and maintain the documentation required for audit and compliance purposes, without relying on manual tracking or email-based sign-off processes. How Solvexia compares Solvexia is faster to implement than enterprise compliance platforms, which are built around audit infrastructure and require significant upfront configuration. For finance teams that need matching intelligence and workflow flexibility without the enterprise overhead, Solvexia delivers the core reconciliation capability at a fraction of the cost and implementation timeline, typically 90 days. Unlike close management tools that focus on visibility into the month-end close process, Solvexia is built for teams where the reconciliation work itself is the hard problem. If the bottleneck is inside the close, not the coordination of it, Solvexia goes deeper. Compared to ERP-native reconciliation functionality, Solvexia handles the scenarios where standard tools break down: non-standard matching rules, data sources that do not conform to expected formats, and transaction volumes that exceed what the ERP was designed to support. Finance teams can configure Solvexia to adapt to the business, rather than adapting the business to fit the tool. Typical use cases: Solvexia is typically used for transaction and account reconciliation, intercompany reconciliation, payment reconciliation across processors and banks, regulatory and management reporting, rebate and incentive calculations, financial close support, and ongoing data quality monitoring across multiple entities and systems. **Average Rating:** 4.7/5.0 **Total Reviews:** 30 **How Do G2 Users Rate Solvexia?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) - **Data Workflows:** 8.7/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.4/10 (Category avg: 8.5/10) - **Data Joining:** 9.1/10 (Category avg: 8.9/10) **Who Is the Company Behind Solvexia?** - **Seller:** [Solvexia](https://www.g2.com/sellers/solvexia) - **Year Founded:** 2008 - **HQ Location:** Sydney, AU - **Twitter:** @solvexia (1,105 Twitter followers) - **LinkedIn® Page:** https://au.linkedin.com/company/solvexia-automation (15 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Staffing and Recruiting - **Company Size:** 45% Small-Business, 42% Mid-Market #### What Are Solvexia's Pros and Cons? **Pros:** - Automation (1 reviews) - Ease of Use (1 reviews) - Integrations (1 reviews) - Platform Integration (1 reviews) - Time-saving (1 reviews) **Cons:** - Limited Functionality (1 reviews) - Missing Features (1 reviews) ### What Do G2 Reviewers Say About Solvexia? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automation capabilities** of SolveXia, which significantly streamline reporting and file manipulation tasks. - Users find the **ease of use** of SolveXia invaluable for automating reporting and manipulating files effectively. - Users find the **easy integration with third-party systems** of Solvexia enhances their automation and reporting capabilities. - Users value the **seamless platform integration** with SolveXia, enhancing automation and efficiency in various tasks. - Users value the **time-saving automation** features of SolveXia, significantly enhancing their reporting and file manipulation efficiency. **Cons:** - Users note a **lack of loop functionality** in Solvexia's process designer, requiring workarounds for desired results. - Users note the **lack of loop functionality** in the process designer, which complicates automation despite available workarounds. #### What Are Recent G2 Reviews of Solvexia? **"[Powerful and Flexible Low Code Process Automation](https://www.g2.com/survey_responses/solvexia-review-8661324)"** **Rating:** 5.0/5.0 stars *— Andy B.* [Read full review](https://www.g2.com/survey_responses/solvexia-review-8661324) --- **"[My Indepth and honest review on SolveXia](https://www.g2.com/survey_responses/solvexia-review-10188421)"** **Rating:** 4.5/5.0 stars *— Sardhar S.* [Read full review](https://www.g2.com/survey_responses/solvexia-review-10188421) --- #### What Are G2 Users Discussing About Solvexia? - [What is SolveXia used for?](https://www.g2.com/discussions/what-is-solvexia-used-for) ### 22. [Zoho DataPrep](https://www.g2.com/products/zoho-corporation-pvt-ltd-zoho-dataprep/reviews) Zoho DataPrep is an AI-powered ETL platform designed to move, prepare, and clean data for seamless data workflows — without writing code, managing multiple tools, or hiring a data engineering team. Most organizations juggle separate tools for data ingestion, cleaning, and delivery. DataPrep consolidates the entire data lifecycle into one platform: extract from 90+ sources, transform with 250+ no-code tools or Python Code Studio, and deliver to 30+ destinations including data warehouses and business applications. What makes DataPrep different: Ask Zia, the AI copilot powered by Zoho LLM, builds complete pipelines from natural language. Reverse ETL pushes enriched data back to CRMs and marketing tools automatically. Databridge connects on-prem databases behind firewalls for hybrid environments. MCP server support enables AI agents to control pipelines from tools like Claude and Cursor. The platform processes 25M+ rows per batch with incremental fetch, scheduled automation, version control, and auto-retry. ISO 27001, SOC2, HIPAA, and GDPR compliant with built-in PII detection and data masking. Free plan available. Row-based pricing with no per-destination fees. **Average Rating:** 4.2/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Zoho DataPrep?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Data Workflows:** 8.3/10 (Category avg: 8.8/10) - **Profiling and Classification:** 7.9/10 (Category avg: 8.5/10) - **Data Joining:** 8.1/10 (Category avg: 8.9/10) **Who Is the Company Behind Zoho DataPrep?** - **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Year Founded:** 1996 - **HQ Location:** Austin, TX - **Twitter:** @Zoho (137,880 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,766 employees on LinkedIn®) - **Phone:** +1 (888) 900-9646 **Who Uses This Product?** - **Company Size:** 67% Small-Business, 25% Mid-Market #### What Are Recent G2 Reviews of Zoho DataPrep? **"[Simplifying the data cleaning and transformation with Zoho DataPrep](https://www.g2.com/survey_responses/zoho-dataprep-review-9714569)"** **Rating:** 4.5/5.0 stars *— Sharin S.* [Read full review](https://www.g2.com/survey_responses/zoho-dataprep-review-9714569) --- **"[Great tool and time saver!](https://www.g2.com/survey_responses/zoho-dataprep-review-9615525)"** **Rating:** 5.0/5.0 stars *— Donald P.* [Read full review](https://www.g2.com/survey_responses/zoho-dataprep-review-9615525) --- ### 23. [Palantir Foundry](https://www.g2.com/products/palantir-foundry/reviews) Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rated a perfect 5/5 by its customer base. **Average Rating:** 4.1/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Palantir Foundry?** - **Has the product been a good partner in doing business?:** 5.0/10 (Category avg: 9.0/10) - **Data Workflows:** 7.6/10 (Category avg: 8.8/10) - **Profiling and Classification:** 7.2/10 (Category avg: 8.5/10) - **Data Joining:** 6.9/10 (Category avg: 8.9/10) **Who Is the Company Behind Palantir Foundry?** - **Seller:** [Palantir](https://www.g2.com/sellers/palantir) - **HQ Location:** Denver, US - **Twitter:** @PalantirTech (425,595 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,858 employees on LinkedIn®) - **Ownership:** PLTR (NYSE) **Who Uses This Product?** - **Company Size:** 36% Enterprise, 36% Small-Business #### What Are Palantir Foundry's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - AI Features (1 reviews) - AI Integration (1 reviews) - AI Modeling (1 reviews) - Analysis Efficiency (1 reviews) **Cons:** - Expensive (1 reviews) - Limited Customization (1 reviews) - Limited Features (1 reviews) - Limited Options (1 reviews) ### What Do G2 Reviewers Say About Palantir Foundry? *AI-generated summary from verified user reviews* **Pros:** - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users value the **integration of AI workflows** in Palantir Foundry, enhancing their tech stack and data ecosystem. - Users value the **AI integration** of Palantir Foundry, enhancing their tech stack and improving data workflows. - Users appreciate the **AI modeling capabilities** of Palantir Foundry, seamlessly integrating AI workflows into their data systems. - Users value the **analysis efficiency** of Palantir Foundry, streamlining processes from data ingestion to analytics creation. **Cons:** - Users feel that while Palantir Foundry is **expensive** , it delivers valuable features worth the investment. - Users find **limited customization** options in Palantir Foundry, restricting their ability to tailor the platform to specific needs. - Users find **limited features** in Palantir Foundry, with minimal customization options compared to open-source alternatives. - Users find the **limited customization options** of Palantir Foundry restrictive compared to more open-source alternatives. #### What Are Recent G2 Reviews of Palantir Foundry? **"[Palantir Foundry: Seamlessly Integrating AI Workflows into Our Data Ecosystem](https://www.g2.com/survey_responses/palantir-foundry-review-12241359)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-12241359) --- **"[Best Review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061)"** **Rating:** 5.0/5.0 stars *— Muhammad V.* [Read full review](https://www.g2.com/survey_responses/palantir-foundry-review-8335061) --- ### 24. [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews) Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset. **Average Rating:** 4.4/5.0 **Total Reviews:** 151 **How Do G2 Users Rate Alteryx Designer Cloud?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10) - **Data Workflows:** 8.6/10 (Category avg: 8.8/10) - **Profiling and Classification:** 8.4/10 (Category avg: 8.5/10) - **Data Joining:** 8.8/10 (Category avg: 8.9/10) **Who Is the Company Behind Alteryx Designer Cloud?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx (26,149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,304 employees on LinkedIn®) - **Ownership:** Private **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Hospital & Health Care - **Company Size:** 35% Small-Business, 35% Enterprise #### What Are Recent G2 Reviews of Alteryx Designer Cloud? **"[Great way to trick people into learning relational algebra](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085)"** **Rating:** 4.5/5.0 stars *— Alexander D.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9652085) --- **"[The Inovation is comming](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148)"** **Rating:** 4.0/5.0 stars *— Carlos Alexandre T.* [Read full review](https://www.g2.com/survey_responses/alteryx-designer-cloud-review-9632148) --- #### What Are G2 Users Discussing About Alteryx Designer Cloud? - [What are data wrangling tools?](https://www.g2.com/discussions/what-are-data-wrangling-tools) - [Which of the following data sources does Trifacta Enterprise Support?](https://www.g2.com/discussions/which-of-the-following-data-sources-does-trifacta-enterprise-support) - [Is Trifacta an ETL tool?](https://www.g2.com/discussions/is-trifacta-an-etl-tool) - 1 comment - [What is Trifacta used for?](https://www.g2.com/discussions/what-is-trifacta-used-for) ### 25. [Plauti](https://www.g2.com/products/plauti/reviews) Plauti keeps your CRM data accurate, complete, and ready for business. Verify, deduplicate, manipulate, and assign records automatically so your teams can trust their data and act fast. Because when data is right, actions are right. And when actions are right, trust follows. - Verify: validate and format addresses, emails and phone numbers - Plauti Agentforce: power agents with data management actions - Deduplicate: find, prevent and merge duplicate records - Assign: route and assign any record instantly - Manipulate: handle data in single-action execution - Restore: Restore record changes across your data within Salesforce Whether you're improving customer experience, achieving AI readiness, improving data governance or driving operational efficiency, the solutions work together to turn scattered data into a trusted resource that fuels confident decision-making and business growth. \> 100% Native to Salesforce - No external processing, full data control. \> Enterprise security -Salesforce compliance, no third-party risks. \> No-Code customization - Adapt workflows easily, without IT reliance. \> Scalable & efficient - Automate processes and manage data at scale. **Average Rating:** 4.5/5.0 **Total Reviews:** 114 **How Do G2 Users Rate Plauti?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10) **Who Is the Company Behind Plauti?** - **Seller:** [Plauti](https://www.g2.com/sellers/plauti) - **Company Website:** https://plauti.com/ - **Year Founded:** 2011 - **HQ Location:** Arnhem, Netherlands - **LinkedIn® Page:** https://www.linkedin.com/company/plauti-b-v-/ (58 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Non-Profit Organization Management, Computer Software - **Company Size:** 55% Mid-Market, 35% Small-Business #### What Are Plauti's Pros and Cons? **Pros:** - Ease of Use (30 reviews) - Duplicate Management (29 reviews) - Customer Support (19 reviews) - Merging Leads (16 reviews) - Customization (10 reviews) **Cons:** - Learning Curve (8 reviews) - Complexity (7 reviews) - Data Management Issues (6 reviews) - Limitations (6 reviews) - Limited Functionality (6 reviews) ### What Do G2 Reviewers Say About Plauti? *AI-generated summary from verified user reviews* **Pros:** - Users find Plauti's **ease of use** exceptional, appreciating its simplicity and effective customization options. - Users appreciate the **configurable duplicate management** of Plauti, enhancing data integrity and simplifying record handling in Salesforce. - Users praise the **excellent customer support** of Plauti, noting helpfulness and quick responses during setup and inquiries. - Users value the **advanced merging capabilities** of Plauti, enhancing their ability to manage duplicates effectively. - Users appreciate the **customizable duplicate checking** features of Plauti, enhancing efficiency and control over data management. **Cons:** - Users find the **learning curve steep** , as the configuration options can be daunting and confusing initially. - Users find the **complexity of options and configurations** in Plauti overwhelming and occasionally confusing. - Users face significant **data management issues** with Plauti, impacting their ability to efficiently handle records and storage. - Users face challenges with **data validation rules** , **record limits** , and **confusing matching rules** affecting their experience. - Users find the **limited functionality** of Plauti frustrating, especially regarding complex matching rules and user understanding. #### What Are Recent G2 Reviews of Plauti? **"[Affordable, No-Frills Duplicate Management—Best for Experienced Users](https://www.g2.com/survey_responses/plauti-review-11822086)"** **Rating:** 4.0/5.0 stars *— Jonathan W.* [Read full review](https://www.g2.com/survey_responses/plauti-review-11822086) --- **"[Plauti: Seamless Salesforce Integration and Reliable Deduplication](https://www.g2.com/survey_responses/plauti-review-12675539)"** **Rating:** 5.0/5.0 stars *— Verified User in Manufacturing* [Read full review](https://www.g2.com/survey_responses/plauti-review-12675539) --- #### What Are G2 Users Discussing About Plauti? - [How do I check for duplicates in Salesforce?](https://www.g2.com/discussions/how-do-i-check-for-duplicates-in-salesforce) - 1 comment, 1 upvote ## What Is Data Preparation Software? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to Data Preparation Software? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [ETL Tools](https://www.g2.com/categories/etl-tools) --- ## How Do You Choose the Right Data Preparation Software? ### What You Should Know About Data Preparation Software ### What are data preparation tools and software? The amount of data companies collect is staggering. Even a mid-sized business can quickly generate millions of raw data points about its customers, business, and technology performance. As a company’s analytics multiply, proper data management can become insurmountable for even the most seasoned data prep expert — not to mention companies without a specialist on hand. Data prep tools are designed to rummage through this pile of data and aggregate relevant insights for users. These tools are increasingly valuable and necessary for businesses with an endless influx of large data sets. These tools help draw valuable conclusions about important data points through the noise of excess information. A popular term for this process is called data wrangling. Data wrangling evokes the full capabilities of these tools. They can mine useful, relevant analytics from an overwhelming stream of different data sources. Modern businesses must make timely, critical decisions in response to the diverse insights generated by these data wrangling tools. These tools compile real-time analytics about product users, sales numbers, system performance, and more. The tools in this emerging space help streamline the data preparation process, gleaning precise information from large data sets. As a business’s data piles up, data prep tools enable users to find important data points with the push of a button. This way, companies can leverage actionable insights immediately without sorting through hours of data. ### Key benefits of using data preparation tools - Performing comprehensive scans of large data sets from disparate data sources - Profiling relevant data based on custom workflows and filters - Blending actionable data from large, distributed sets into a clean, optimized file - Enabling faster, more accurate analysis of relevant information without the need for manual combing of databases ### Why use data preparation solutions? In the early days of analytics, a small team would be responsible for manually preparing data — managing quality assurance for an entire company’s database, and pulling together actionable insights. This is still the case for thousands of organizations across multiple industries. As technology advances, the volume of unstructured data has grown immensely. People generate more data than businesses know what to do with, creating a unique and unprecedented challenge for data science experts and executives trying to make sense of the analytics. Data prep technology was created out of this growing necessity, with the ability to pick through massive amounts of unstructured data and present only the data points that matter for a given scenario. This relieves IT specialists of this strenuous task and makes an impossible amount of data more digestible. In addition to finding, profiling, and combining data based on user specifications, certain solutions in this category assist with data transformation or converting data types into different forms or structures for analysis purposes. This creates a unified view of the most relevant analytics for convenient analysis and eventual exporting into external systems. Just as the amount of data has increased in recent years, so has the variety of data types, formats, and sources. Data preparation platforms work to identify or profile the most valuable data across these various types and deliver it in the most useful way for each new scenario. These advanced tools can save employees time while creating opportunities with previously unattainable data, especially if a business has an extensive portfolio of data sources. ### Who uses data prep tools? The solutions in this category benefit companies with a substantial pool of data and a complex network of data sources. For smaller companies in certain industries, data prep may still be a manual process that does not require new technology. However, since many organizations utilize various types of software and third-party partnerships, they generate mountains of data on a daily basis. As a result, more and more businesses are eligible for these tools. The following teams or individuals will most likely use these solutions in a given organization. **IT specialists —** If a company has an IT department, these employees are the most logical choice for general data and test data preparation. IT specialists already have a comprehensive view of the computer systems and software platforms used across an organization. They may already be the primary owners of analytics tasks such as data enrichment and data cleaning. The analytics platforms featured in this category empower IT specialists to expedite the quality assurance process and create clean data sets for internal use or to be shared across their organization. **Data analysts and engineers —** As the data realm has swelled in size, tech-forward companies have started to seek designated employees to collect and draw conclusions from company analytics. These data analyst roles are typical in organizational structures and third-party agency settings, such as [data governance services providers](https://www.g2.com/categories/data-governance-services). Whether employed with one of these firms or on a company’s full-time staff, data specialists benefit from one of the tools in this space. In some cases, data prep will be a daily responsibility in this line of work. Pulling various data sets for additional analysis or tests and using the results to influence business outcomes emphasizes the impact this technology can have on a given organization. The correct data prep solution can be an indispensable asset for data engineers, analytics executives, and others with a strong focus on data work. ### Features of data preparation software solutions The robust tools in this software category offer a diverse range of functionalities related to the process of data preparation. The following are some prominent features of these unique offerings. **Workflow scheduling and monitoring —** Depending on the intended use of these tools, employees may want to map out an automated query to prepare certain groupings of data regularly. This might involve a custom data flow builder or a similar user interface for customization. Using these tools, administrators can adjust the specific details of each workflow, including analytics filters, which sources to pull from, and the schedule for executing the query. A company may be able to adjust other components of the process, such as validation details and the destination for exporting finished data sets. Dashboards on some tools can help display analytics related to data prep workflows, including general efficiency and results summaries. As a company creates data prep queries, whether for one-off events or routine workflows, a company may be able to configure the data blending and joining process as it relates to each function. Data blending is another common term used to describe the merging of analytics from separate sets into a cohesive group to draw conclusions and continued analysis. When configuring the intelligent algorithms on these platforms, companies can specify how they want the data joined together and presented, for instance, which data type they prefer and how the data should be ordered. Whether called data preparation, data wrangling, or data blending, the solutions in this category can assist with this increasingly popular business strategy to help bring divergent analytics together for a unified purpose. **Data profiling —** Once the intended analytics are pulled and organized using these tools, certain platforms can assess the data and help determine the additional purposes it can be used for. This is also known as data profiling. Some tools in this category offer more powerful profiling features than others, allowing for rich analytics and summaries about prepared data sets as they are constructed. If data profiling features are not present, a company might assign certain data analysts or other specialists to profile the finished data sets and determine the best course of action to take as the results are delivered. ### Software and services related to data preparation software Depending on the value an organization places on data and the scope of an organization’s technology infrastructure, the analytics lifecycle can be complex and demanding. The following solutions go hand in hand with data preparation tools in collecting, studying, and using company data. They can help an organization make data analysis both practical and rewarding. [**Data visualization software**](https://www.g2.com/categories/data-visualization) **—** Data visualization is the process of turning valuable analytics into visuals that can be studied and shared as needed. Data visualization software lets users import database files and create eye-catching charts and graphs displaying certain findings or data selections in an accessible format. Data preparation platforms often integrate with certain data visualization tools, allowing for prepared data to be quickly and seamlessly converted into dashboards, interactive graphs, or other visual files. Whether a department is presenting company-wide KPIs or complex insights for specific teams or business partners, these solutions are a practical way to make data presentable for others, allowing a company to highlight its findings as desired. [**Business intelligence software**](https://www.g2.com/categories/business-intelligence) **—** Business intelligence software, or BI software, includes data visualization platforms and related technology for analyzing data and revealing the actionable insights scattered across giant pools of information. BI tools are increasingly essential for companies seeking to shape their business strategy around a steady data flow. Many of the tools in these categories require IT assistance for implementation and connecting disparate sources into a functional analytics architecture. Once this information network is established, businesses can leverage it in several ways, including self-service analytics and embedded analytics within business applications. BI tools can create a sturdy foundation of valuable data from multiple sources to build a data preparation strategy and utilize a solution from the data preparation category. [**Data warehouse software**](https://www.g2.com/categories/data-warehouse) **—** Data warehouse software provides a reliable storage hub for the collective data generated across an organization, from the sales department to the software testing team. Analytics tools such as data prep software often sync with an internal data warehouse to analyze large data sets without providing separate storage for these large, critical files. A data infrastructure may require several solutions for companies with many moving parts, each with its specific function. Data warehouses provide secure storage for these massive data files as they expand, freeing up other data platforms to perform their respective functions with little interruption. ### How to choose the best data preparation tool When selecting a data preparation tool, consider a few key factors to ensure it aligns with your unique data needs and organizational resources. First, assess your data's complexity and your team's technical skill level. Some tools are better suited for advanced technical users with programming knowledge, while others are designed for ease of use, making them accessible to non-technical team members. Look for a tool that strikes the right balance between functionality and usability for your team. Next, think about performance and scalability. As your data grows, your tool should be able to handle increased volumes without a dip in efficiency. Make sure the tool integrates smoothly with your existing infrastructure, such as cloud storage, data lakes, or on-premises systems, to avoid compatibility issues down the line. Don’t overlook the specific needs of your data workflows. Consider how often your data is updated and whether you need real-time processing capabilities. Advanced features like data profiling, which helps uncover patterns and quality issues, or specialized data transformation options might be essential for more complex datasets. Evaluate these aspects carefully to ensure the tool meets your immediate and long-term data preparation needs. By evaluating these factors, you’ll be well on your way to choosing a data preparation tool that meets your current requirements and can scale as your organization grows.