Best Data Preparation Software for Medium-Sized Businesses - Page 2

How Many Data Preparation Software Products Does G2 Track?

Total Products under this Category: 128

Category Stats (Sep 2026)

  • Average Rating: 4.53/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Foundry (+1.85%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

Last updated: September 27, 2026

How Does G2 Rank Data Preparation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,300+ Authentic Reviews
  • 128+ 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.

G2 Grid® for Data Preparation Software

G2 Grid® for Data Preparation Software plotting products by satisfaction and market presence

Highlighted products: Tableau, HubSpot Data Hub, SAS Viya, Alteryx, Domo, dbt, Qlik Sense, and DemandTools.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-preparation/grids.json?focus%5B%5D=tableau&focus%5B%5D=hubspot-data-hub&focus%5B%5D=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=domo&focus%5B%5D=dbt&focus%5B%5D=qlik-sense&focus%5B%5D=demandtools&segment=mid-market)

SAS Data Management

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: 9.1/10)
  • Data Workflows: 9.8/10 (Category avg: 8.9/10)
  • Profiling and Classification: 9.6/10 (Category avg: 8.6/10)
  • Data Joining: 9.6/10 (Category avg: 8.9/10)

Who Is the Company Behind SAS Data Management?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education, Research
  • Company Size: 51% Large, 26% Small

What Do G2 Reviewers Say About SAS Data Management?

AI-generated summary from verified user reviews

Pros
  • Users find SAS Data Management easy to use, enjoying its intuitive interface and supportive features for data preparation.
  • Users value the powerful analytics capabilities of SAS Data Management for data preparation and transformation tasks.
  • Users appreciate the robust data cleaning tools in SAS Data Management, ensuring accuracy and consistency in analytics projects.
  • Users value the robust data cleaning and standardization tools of SAS Data Quality, enhancing data accuracy and consistency.
  • Users value the strong data transformation capabilities of SAS Data Management, ensuring efficient and effective data manipulation.
Cons
  • Users find SAS Data Management to be expensive, which may limit access for smaller businesses with budget constraints.
  • Users find the interface difficult and not user-friendly, making navigation challenging for those less experienced with SAS.
  • Users find that the slow performance of SAS Data Management hampers efficiency when dealing with large and complex datasets.
  • Users find that the training required for SAS Data Management can be a barrier for less technical individuals.
  • Users find the complexity of SAS Data Management limits accessibility, requiring advanced statistics knowledge for effective use.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

Solvexia

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: 9.1/10)
  • Data Workflows: 8.7/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.4/10 (Category avg: 8.6/10)
  • Data Joining: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Solvexia?

  • Seller: Solvexia
  • Year Founded: 2008
  • HQ Location: Sydney, AU
  • Twitter: @solvexia
    1,105 Twitter followers
  • LinkedIn® Page: au.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Staffing and Recruiting
  • Company Size: 45% Small, 42% Medium

What Do G2 Reviewers Say About Solvexia?

AI-generated summary from verified user reviews

Pros
  • Users value the automation capabilities of SolveXia, significantly enhancing efficiency in reporting and file manipulation.
  • Users find SolveXia's system to be extremely user-friendly, streamlining automation and enhancing overall efficiency in processes.
  • Users value the seamless integrations of SolveXia, enhancing automation and connectivity with various third-party systems.
  • Users value the easy integration with third-party systems of Solvexia, significantly enhancing their automation capabilities.
  • Users find that SolveXia's time-saving automation processes greatly enhance efficiency in reporting and file manipulation.
Cons
  • Users find the limited functionality of Solvexia's process designer challenging, though workarounds are often suggested.
  • Users feel the lack of loop functionality in Solvexia's process designer limits their programming capabilities despite workarounds.

What Are Recent G2 Reviews of Solvexia?

What Are G2 Users Discussing About Solvexia?

Pecan

Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn business questions into reliable predictions for use cases like customer churn, demand forecasting, and lifetime value, without relying on long, complex data science projects. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, and provides transparent, explainable predictions that integrate into tools like Salesforce, HubSpot, Snowflake, and BI systems to drive real business outcomes.

Average Rating: 4.7/5.0

Total Reviews: 41

How Do G2 Users Rate Pecan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)

Who Is the Company Behind Pecan?

  • Seller: Pecan.ai
  • Company Website:
  • Year Founded: 2018
  • HQ Location: US, Israel
  • Twitter: @pecan_ai
    1,135 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Computer Software
  • Company Size: 50% Medium, 20% Large

What Do G2 Reviewers Say About Pecan?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Pecan, enabling quick model building without requiring deep expertise.
  • Users praise the excellent customer support from Pecan, which assists them effectively throughout their predictive modeling journey.
  • Users love the speed of development with Pecan, accelerating model deployment from months to weeks effortlessly.
  • Users value Pecan's effective problem-solving capabilities and exceptional support for leveraging data into actionable insights.
  • Users find Pecan's implementation ease exceptional, significantly accelerating model development with ample support and guidance.
Cons
  • Users face a learning difficulty that requires an intermediate understanding of SQL and data structures for effective use.
  • Users express a desire for deeper control over model selection and customization options in Pecan.
  • Users feel the limited features of Pecan restrict customization and control over model selection and optimization metrics.
  • Users face a steep learning curve with Pecan, particularly in grasping data structure and SQL requirements.
  • Users feel the limited customization restricts their ability to fine-tune models for specific use cases effectively.

What Are Recent G2 Reviews of Pecan?

IBM Watson Studio

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: 164

How Do G2 Users Rate IBM Watson Studio?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 9.1/10)
  • Data Workflows: 9.2/10 (Category avg: 8.9/10)
  • Profiling and Classification: 9.0/10 (Category avg: 8.6/10)
  • Data Joining: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind IBM Watson Studio?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 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: 49% Large, 31% Small

What Do G2 Reviewers Say About IBM Watson Studio?

AI-generated summary from verified user reviews

Pros
  • Users admire the Auto AI capability of IBM Watson Studio, significantly reducing manual work and streamlining data projects.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing time spent on manual data tasks.
  • Users appreciate the user-friendly interface of IBM Watson Studio, facilitating seamless integration and efficient project collaboration.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing manual work in data preprocessing.
  • Users appreciate the easy AI integration in IBM Watson Studio, significantly enhancing their data science and ML workflows.
Cons
  • Users find the high cost of IBM Watson Studio challenging, especially for individuals and small startups.
  • Users find the steep learning curve of IBM Watson Studio challenging, making it difficult for beginners to navigate.
  • Users experience a steep learning curve with IBM Watson Studio, making it challenging for beginners to navigate its features.
  • Users find the complex interface of IBM Watson Studio challenging, particularly for those just starting out.
  • Users find the steep learning curve of IBM Watson Studio challenging, particularly for beginners navigating its complex features.

What Are Recent G2 Reviews of IBM Watson Studio?

What Are G2 Users Discussing About IBM Watson Studio?

Plauti

For Salesforce teams who want to run reports, automation and AI only on data they can trust, Plauti is the native data-quality platform that diagnoses, cleans and makes data actionable without it ever leaving the CRM. Unlike bolt-on tools that export your data or native features that stop at detection, Plauti gives configurable, governed control across Salesforce, so the AI, analytics, and revenue engine on top can finally trust the data underneath. Plauti covers the full data quality lifecycle inside Salesforce. It monitors and cleans your data, stops dirty data from getting back in, and puts clean data to work. So your team, your automations, and your AI all run on data they can trust. What it finds, it fixes. Every report, every routing rule, every campaign, every AI action runs on your Salesforce data. And CRM data decays. Duplicates, invalid emails, and bad addresses come in every day, from forms, imports, integrations, and now from AI itself. Your team burns hours every week merging records and chasing bounces, and the mess keeps coming back. Teams stop trusting the data and build their own version of reality. AI doesn't put up with a messy CRM. It multiplies the mess. Agents grab the first duplicate they hit, personalize on bad contact data, and write more bad data back into your org at machine speed. AI has transformed poor data quality into something you can no longer live with. Monitor. It’s difficult to fix what you can't see. Plauti shows you the health of your data across every object and field, all the time. Everyone looks at the same picture, and you can see exactly where the bad data is coming from. Clean. Clean it all, right inside Salesforce. Duplicates merged, emails and addresses verified, whole objects standardized in bulk. Years of backlog and dirty legacy data, gone in weeks. Prevent. Clean doesn't stay clean on its own forever. Plauti blocks bad data at every entry: manual, imports, the API, even Agentforce. That's what makes data quality stick. Act. And once your CRM stays clean, you can finally act on it. Route records the moment they land, feed clean data to every system that depends on it, and let AI work on data and context it can trust. Clean in, trustworthy out. Everything runs inside your org. It’s easy to integrate, secure and easy to adopt. And it fits how your org actually works: your rules, your logic, shaped through the SDK, API, and plugins. There's a safety net, too: instant undo on any merge or edit. Move fast, break nothing. Plauti covers your entire data quality lifecycle: monitor, clean, prevent, act. Do this and your data is AI- and business-ready. Because when the data is right, everything that runs on it is right.

Average Rating: 4.4/5.0

Total Reviews: 114

How Do G2 Users Rate Plauti?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)

Who Is the Company Behind Plauti?

  • Seller: Plauti
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Arnhem, Netherlands
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Computer Software
  • Company Size: 56% Medium, 35% Small

What Do G2 Reviewers Say About Plauti?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Plauti, appreciating its straightforward tools and responsive support.
  • Users praise the easy implementation and customizable duplicate management features of Plauti, enhancing their Salesforce experience.
  • Users commend the exceptional customer support of Plauti for their helpfulness and quick response times.
  • Users value the excellent merging capabilities of Plauti, particularly for customizable duplicate management in Salesforce.
  • Users value the customizability of Plauti, enabling tailored solutions for managing duplicates effectively within Salesforce.
Cons
  • Users find the learning curve steep, as the configuration options can be intimidating and initially confusing.
  • Users find the complexity of options and configurations in Plauti overwhelming, making it challenging to apply criteria correctly.
  • Users report data management issues with Plauti, highlighting limitations in merge rules and excessive storage usage.
  • Users face challenges with data validation rules and record limits, complicating scalability and functionality.
  • Users find the limited functionality of Plauti challenging, especially with confusing matching rules and merging processes.

What Are Recent G2 Reviews of Plauti?

What Are G2 Users Discussing About Plauti?

Altair Monarch

An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Altair can automate preparation tasks for expedited results and deliver data you trust for smart business decision making. To learn more about Altair Monarch or download a free version of its enterprise software, please click the links below.

Average Rating: 4.5/5.0

Total Reviews: 91

How Do G2 Users Rate Altair Monarch?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.1/10)
  • Data Workflows: 9.2/10 (Category avg: 8.9/10)
  • Profiling and Classification: 9.0/10 (Category avg: 8.6/10)
  • Data Joining: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Altair Monarch?

  • Seller: Altair
  • Year Founded: 1985
  • HQ Location: Troy, MI
  • LinkedIn® Page: www.linkedin.com
    2,630 employees on LinkedIn®
  • Ownership: NASDAQ:ALTR
  • Total Revenue (USD mm): $458

Who Uses This Product?

  • Top Industries: Financial Services, Hospital & Health Care
  • Company Size: 54% Large, 27% Medium

What Are Recent G2 Reviews of Altair Monarch?

What Are G2 Users Discussing About Altair Monarch?

Validity Engage

Validity Engage is an AI-native platform built for high-volume enterprise marketing teams that want every email to be better than the last. It covers the full email lifecycle: competitor intelligence, contact validation, design and testing, deliverability, and live email monitoring. Engage unifies capabilities formerly delivered across separate Validity products: (Formerly) Validity Litmus: Broken links, brand inconsistencies, and rendering issues that slip through review erode subscriber trust. Engage's email building, QA testing, spam filter testing, and accessibility checks—backed by LLM powered spelling and grammar review—catch issues before they reach a subscriber, giving teams control without slowing production. (Formerly) Validity Everest: Unnoticed deliverability issues quietly drain revenue. Engage's inbox placement and deliverability monitoring shows exactly where your emails land across every major provider, giving teams the visibility to catch problems and stay off blocklists. (Formerly) Validity BriteVerify: Invalid contact data drives up bounces and damages sender reputation. Engage's contact and email validation keeps the data behind every send accurate—automatically. It gives teams the confidence to send at scale without second-guessing the list. Engage also adds proprietary competitor intelligence, showing you what's working across the market before a campaign even sends. Sender Certification, an upgrade available with Engage, helps senders reach more inboxes—and stay there—as a trusted sender. Engage’s insights are powered by the Validity Intelligence Network, built on 25 years of exclusive partnerships, real-time visibility into inboxes worldwide, and signals from across the email ecosystem. The network spans more than 140 ISPs, tracks 35,000-plus brands, and processes 2.5 billion behavioral data points every day. Engage puts that intelligence to work through a team of agents that watch performance around the clock, recommend the next best action, and fine-tune campaigns without waiting to be asked.

Average Rating: 4.4/5.0

Total Reviews: 698

How Do G2 Users Rate Validity Engage?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)

Who Is the Company Behind Validity Engage?

  • Seller: Validity Inc
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Boston, Massachusetts
  • Twitter: @TrustValidity
    1,151 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    349 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Marketing Manager, Email Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 42% Medium, 33% Small

What Do G2 Reviewers Say About Validity Engage?

AI-generated summary from verified user reviews

Pros
  • Users value the dynamic previews of Litmus, enhancing email rendering insights across devices and clients.
  • Users value the effective email automation and personalization features of Validity Engage, boosting campaign optimization and engagement.
  • Users value the ease of use of Validity Engage, praising its intuitive interface and streamlined collaboration features.
  • Users love the detailed dynamic previews of Litmus, enhancing email design across multiple devices and platforms.
  • Users value the detailed analytics provided by Litmus for optimizing email performance across devices and clients.
Cons
  • Users find the absence of key features frustrating, particularly regarding template sharing and an undo option.
  • Users often experience slow performance with Validity Engage when switching previews and rendering email tests.
  • Users find Validity Engage to be quite expensive, with many features locked behind higher cost tiers.
  • Users express concerns about email client settings rigidity and the need for improved customization and error visibility.
  • Users are frustrated by the slow loading times for tests, negatively impacting efficiency and productivity.

What Are Recent G2 Reviews of Validity Engage?

What Are G2 Users Discussing About Validity Engage?

Alteryx Designer Cloud

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: 9.1/10)
  • Data Workflows: 8.6/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.4/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Alteryx Designer Cloud?

  • Seller: Alteryx
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Top Industries: Information Technology and Services, Hospital & Health Care
  • Company Size: 35% Large, 35% Small

What Are Recent G2 Reviews of Alteryx Designer Cloud?

What Are G2 Users Discussing About Alteryx Designer Cloud?

OneSchema

OneSchema provides AI agents for data operations that automate data prep, driving efficiency and improving client project margins. By standardizing raw client files to your RFIs, OneSchema helps teams reach insights and deliver results faster.

Average Rating: 4.6/5.0

Total Reviews: 47

How Do G2 Users Rate OneSchema?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.1/10)
  • Data Workflows: 9.2/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.4/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind OneSchema?

  • Seller: OneSchema
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • Twitter: @oneschema_co
    218 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Small, 44% Medium

What Do G2 Reviewers Say About OneSchema?

AI-generated summary from verified user reviews

Pros
  • Users laud the quick and reliable support provided by OneSchema, enhancing their overall experience and satisfaction.
  • Users appreciate the responsive customer support of OneSchema, ensuring quick resolutions for all inquiries and issues.
  • Users value the customization options in OneSchema, enabling them to create tailored importers effortlessly.
  • Users appreciate the ease of use of OneSchema, highlighting its intuitive and customizable importer creation process.
  • Users appreciate the quick and reliable support from OneSchema, ensuring a smooth experience even with complex issues.
Cons
  • Users seek enhanced customization options for the importer to improve flexibility and user experience in OneSchema.
  • Users desire improvements in interface design, particularly for customization options and data transformation UX.
  • Users desire improved user experience, particularly in customization and data transformation processes for OneSchema.
  • Users desire improved UX and customization options for OneSchema to enhance data transformations and development efficiency.

What Are Recent G2 Reviews of OneSchema?

IBM Databand

Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> https://www.ibm.com/account/reg/us-en/signup?formid=DEMO-dataaidataband CORE CAPABILITIES Incident Management Improve data reliability and quality under one roof with a single pane of glass for all your data incidents. Data Reliability Monitoring Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes. Data Quality Metrics Continuously validate data quality with dataset metrics for SLAs, column changes, and null records. Anomaly Detection Eliminate the unknown by seeing trends & detecting anomalies from your metadata in real time. DataOps Alerting and Routing Customize incident alerts and route notifications to impacted DataOps teams for faster resolution. End-to-end Lineage Visualize how data incidents impact upstream and downstream components of your data stack. Website www.ibm.com/products/databand

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate IBM Databand?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.1/10)
  • Data Workflows: 8.8/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.3/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind IBM Databand?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 33% Large

What Do G2 Reviewers Say About IBM Databand?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automated anomaly detection in IBM Databand, enhancing insights and monitoring capabilities effortlessly.
  • Users appreciate the end-to-end visibility offered by IBM Databand, simplifying ETL development and root cause analysis.
  • Users appreciate the automation features of IBM Databand, simplifying data management and enhancing workflow efficiency.
  • Users enjoy the dashboard customization in IBM Databand, facilitating ease of use and key metrics accessibility.
  • Users value the data management capabilities of IBM Databand, enabling efficient monitoring and error handling in data pipelines.
Cons
  • Users experience limited features, noting high pricing and a steep learning curve for new users.
  • Users find the pricing high for smaller teams, which can limit accessibility and overall value.
  • Users face integration issues with IBM Databand, finding limited compatibility with third-party services and complex navigation challenges.
  • Users face a steep learning curve with IBM Databand, making onboarding and navigation challenging for newcomers.
  • Users find missing features like self error resolution and limited integrations hinder their overall experience with IBM Databand.

What Are Recent G2 Reviews of IBM Databand?

TIMi

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/

Average Rating: 4.8/5.0

Total Reviews: 50

How Do G2 Users Rate TIMi?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Data Workflows: 9.0/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.5/10 (Category avg: 8.6/10)
  • Data Joining: 9.3/10 (Category avg: 8.9/10)

Who Is the Company Behind TIMi?

  • Seller: TIMi SPRL
  • Year Founded: 2007
  • HQ Location: Brussels
  • Twitter: @TIMiSuite
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    86 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Banking
  • Company Size: 40% Small, 32% Large

What Do G2 Reviewers Say About TIMi?

AI-generated summary from verified user reviews

Pros
  • Users highlight the exceptional customer support from the TIMi team, noting their quick response times and helpfulness.
  • Users find TIMi easy to use, thanks to its intuitive design and quick learning curve.
  • Users appreciate TIMi's user-friendly interface and exceptional support, making data transformation quick and efficient.
  • Users value the fast and intuitive automation capabilities of TIMi, streamlining data transformations and analyses effectively.
  • Users value the intuitive charting features of TIMi, enabling efficient data visualization and analysis.

What Are Recent G2 Reviews of TIMi?

What Are G2 Users Discussing About TIMi?

Visier

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: 9.1/10)
  • Data Workflows: 8.1/10 (Category avg: 8.9/10)
  • Profiling and Classification: 7.9/10 (Category avg: 8.6/10)
  • Data Joining: 7.7/10 (Category avg: 8.9/10)

Who Is the Company Behind Visier?

  • Seller: Visier
  • Year Founded: 2010
  • HQ Location: Vancouver, British Columbia
  • Twitter: @visier
    6,164 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    532 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Hospital & Health Care, Information Technology and Services
  • Company Size: 82% Large, 17% Medium

What Do G2 Reviewers Say About Visier?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Visier, valuing its supportive self-service platform and assistance.
  • Users value the exceptional data analysis capabilities of Visier, enhancing insights from diverse datasets effortlessly.
  • Users value the rapid insights and data visualization capabilities of Visier, enhancing organizational decision-making and trend analysis.
  • Users appreciate the powerful data visualization capabilities of Visier, enabling quick insights without complex setup.
  • Users appreciate the time-saving features of Visier, enabling quick data ingestion and insightful visualizations.
Cons
  • Users find learning difficulty with company-specific metrics and the need for external support complicates their experience with Visier.
  • Users find the product expensive, hindering full adoption and raising concerns about data access and customization.
  • Users find the steep learning curve challenging, especially those unfamiliar with data analytics tools and configurations.
  • Users find the complexity of Visier's customization and analytics capabilities often challenging and cumbersome to navigate.
  • Users note the limited customization options in Visier compared to tools like Tableau and Power BI, impacting flexibility.

What Are Recent G2 Reviews of Visier?

What Are G2 Users Discussing About Visier?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated