Best Enterprise Data Preparation Software

How Many Data Preparation Software Products Does G2 Track?

Total Products under this Category: 130

Category Stats (Oct 2026)

  • Average Rating: 4.53/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Foundry (+0.6%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

Last updated: October 19, 2026

How Does G2 Rank Data Preparation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 11,700+ Authentic Reviews
  • 130+ 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, Alteryx, SAS Viya, Domo, AWS Glue, Palantir Foundry, IBM Watson Studio, and KNIME.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-preparation/grids.json?focus%5B%5D=tableau&focus%5B%5D=alteryx&focus%5B%5D=sas-sas-viya&focus%5B%5D=domo&focus%5B%5D=aws-glue&focus%5B%5D=palantir-foundry&focus%5B%5D=ibm-watson-studio&focus%5B%5D=knime-analytics-platform&segment=enterprise)

Tableau

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: 4,079

How Do G2 Users Rate Tableau?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 9.1/10)
  • Data Workflows: 8.5/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.2/10 (Category avg: 8.6/10)
  • Data Joining: 8.5/10 (Category avg: 8.9/10)

Who Is the Company Behind Tableau?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89,711 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% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Tableau, simplifying data visualization and integration for effective decision-making.
  • Users value the ease of creating interactive visualizations with Tableau, simplifying data analysis from multiple sources.
  • Users love the intuitive and powerful visualization capabilities of Tableau, enabling clear insights from complex data.
  • Users appreciate the ease of use and powerful visualization features of Tableau, streamlining data presentation and analysis.
  • Users find Tableau's intuitive design exceptional, enabling effortless data visualization and interactive dashboards for effective reporting.
Cons
  • Users find the learning curve steep, complicating the onboarding process and integration with Salesforce.
  • Users find learning Tableau challenging, particularly due to its complexity and difficulties in collaboration and calculations.
  • Users find Tableau expensive, with costs complicating its value in large organizations and advanced functionalities.
  • Users experience slow performance with large datasets and lengthy data refresh processes, leading to frustration.
  • Users find Tableau's onboarding complex, making simple tasks unnecessarily complicated and challenging to switch from MS products.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 919

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (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: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Alteryx?

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

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

SAS Viya

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: 779

How Do G2 Users Rate SAS Viya?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 9.1/10)
  • Data Workflows: 8.5/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.5/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 33% Small, 33% Large

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, enhancing data visualization and decision-making for businesses.
  • Users appreciate the advanced analytical capabilities of SAS Viya, making data analysis and decision-making more efficient.
  • Users value the sophisticated analytical capabilities of SAS Viya, enhancing decision-making and insights from diverse data sources.
  • Users value the end-to-end data lifecycle tooling in SAS Viya, enhancing insights and strategic decision-making capabilities.
  • Users commend SAS Viya for its user-friendly interface, making complex analytics accessible to individuals of all skill levels.
Cons
  • Users find SAS Viya difficult for non-technical users to navigate, impacting ease of access to reports and dashboards.
  • Users find the learning curve challenging, especially for non-technical individuals navigating reports and dashboards.
  • Users find the visualization complexity of SAS Viya challenging, especially for those without technical expertise.
  • Users find the difficult learning curve for SAS Viya challenging, especially for non-technical users attempting to access features.
  • Users find the expensive pricing of SAS Viya a potential barrier, complicating their decision-making process.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

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Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,074

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Data Workflows: 8.2/10 (Category avg: 8.9/10)
  • Profiling and Classification: 7.7/10 (Category avg: 8.6/10)
  • Data Joining: 9.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

AWS Glue

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: 9.1/10)
  • Data Workflows: 8.4/10 (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 AWS Glue?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 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% Large, 29% Medium

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 simple for data preparation and ETL operations.
  • Users value the s seamless data integration capabilities of AWS Glue, enhancing efficiency across analytics and application development.
  • Users appreciate the fully managed ETL service of AWS Glue, enjoying seamless integration and ease of use.
  • Users appreciate the versatile functionality of AWS Glue, simplifying data discovery, preparation, and analytics integration.
  • Users appreciate the ease of implementation and effective support of AWS Glue for seamless data integration and error tracing.
Cons
  • Users experience slow performance with AWS Glue, particularly in startup times and complex debugging processes.
  • Users face difficulties in debugging AWS Glue due to unclear error messages and a steep learning curve.
  • Users often face difficult debugging with AWS Glue, as error messages are not always clear and can be frustrating.
  • Users experience performance issues with AWS Glue, such as slow startup times and complex debugging processes.
  • Users note that AWS Glue can be time-consuming due to slow startup times and complex debugging processes.

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

Palantir Foundry

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: 4.2/5.0

Total Reviews: 31

How Do G2 Users Rate Palantir Foundry?

  • Has the product been a good partner in doing business?: 5.6/10 (Category avg: 9.1/10)
  • Data Workflows: 8.6/10 (Category avg: 8.9/10)
  • Profiling and Classification: 7.5/10 (Category avg: 8.6/10)
  • Data Joining: 7.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Palantir Foundry?

  • Seller: Palantir
  • HQ Location: Denver, US
  • Twitter: @PalantirTech
    425,595 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,022 employees on LinkedIn®
  • Ownership: PLTR (NYSE)

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 52% Large, 26% Small

What Do G2 Reviewers Say About Palantir Foundry?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users value the AI workflow integration of Palantir Foundry, enhancing their tech stack and data ecosystem effectively.
  • Users appreciate the seamless AI integration in Palantir Foundry, enhancing their tech and data workflows significantly.
  • Users value the integration of AI workflows in Palantir Foundry, enhancing their tech stack and data ecosystem.
  • Users benefit from the efficient analysis capabilities of Palantir Foundry, streamlining their data processes and insights.
Cons
  • Users note that Palantir Foundry is not cheap, but they appreciate the value received for the cost.
  • Users find the limited customization options in Palantir Foundry restrictive compared to other open-source alternatives.
  • Users find the limited customization options of Palantir Foundry restrictive compared to other open-source platforms.
  • Users find the limited customization options of Palantir Foundry restrict their ability to tailor the platform to their needs.

What Are Recent G2 Reviews of Palantir Foundry?

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?

KNIME

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: 125

How Do G2 Users Rate KNIME?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)
  • Data Workflows: 10.0/10 (Category avg: 8.9/10)
  • Data Joining: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • Twitter: @knime
    7,998 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 31% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find KNIME's ease of use enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
  • Users find KNIME's coding ease remarkable, enabling effortless workflows without requiring extensive technical skills.
  • Users find KNIME to be an easy-to-learn platform, enabling quick workflow creation without coding skills.
  • Users find KNIME easy to learn and start delivering results, thanks to its intuitive visual workflow interface.
  • Users love the easy and intuitive data visualization capabilities of KNIME, enhancing understanding and communication of data insights.
Cons
  • Users find the initial learning curve challenging, especially for those unfamiliar with data science concepts and visual programming.
  • Users face memory usage issues with KNIME, leading to slow performance, especially with larger files and operations.
  • Users report storage limitations with KNIME, leading to performance issues and difficulties with large datasets.
  • Users note that data management issues hinder their experience, especially with file handling and certain databases.
  • Users find the lack of learning resources for KNIME to be a significant barrier to effective usage.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

DemandTools

DemandTools is the enterprise-grade data quality engine tens of thousands of Salesforce admins trust. Deduplicate across any object, standardize and import data at scale, and apply mass updates with governance-level control. With DemandTools, you manage your CRM data in minutes, not months, so you always have accurate, AI-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. Looking for more than data quality? Validity also offers Validity Engage, the trusted Enterprise AI platform for email marketing.

Average Rating: 4.5/5.0

Total Reviews: 276

How Do G2 Users Rate DemandTools?

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

Who Is the Company Behind DemandTools?

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

Who Uses This Product?

  • Who Uses This: Salesforce Administrator
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 33% Large

What Do G2 Reviewers Say About DemandTools?

AI-generated summary from verified user reviews

Pros
  • Users find DemandTools to have an easy-to-use interface that allows for efficient data management and customization.
  • Users value the efficient duplicate management in DemandTools, greatly simplifying finding and reconciling duplicates.
  • Users appreciate the time-saving capabilities of DemandTools, streamlining data management and task execution efficiently.
  • Users value the efficiency of DemandTools, streamlining data management and making processes significantly faster and easier.
  • Users value the Salesforce integration of DemandTools for its ease of use and efficient data handling capabilities.
Cons
  • Users find the limited functionality of DemandTools frustrating, especially regarding tagging and historical data access.
  • Users find missing features in DemandTools, particularly in Dynamics support, record-level error details, and merge history.
  • Users find the learning curve steep, making DemandTools initially intimidating but easier with continued use.
  • Users feel the poor interface design of DemandTools detracts from its usability and overall appeal.
  • Users experience slow loading times, particularly when handling large datasets, affecting workflow and efficiency.

What Are Recent G2 Reviews of DemandTools?

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?

Qlik Sense

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/

Average Rating: 4.4/5.0

Total Reviews: 762

How Do G2 Users Rate Qlik Sense?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 9.1/10)
  • Data Joining: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Qlik Sense?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 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% Large, 41% Medium

What Do G2 Reviewers Say About Qlik Sense?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in Qlik Sense, enhancing their productivity with minimal IT support needed.
  • Users commend the robust data visualization capabilities of Qlik Sense, enhancing insights with its user-friendly interface.
  • Users appreciate the rapid development capabilities of Qlik Sense, enabling quick creation and deployment of analytics applications.
  • Users value the robust data visualization capabilities of Qlik Sense, enhancing their insights and business strategies.
  • Users value the versatile and user-friendly tools in Qlik Sense, enhancing data representation and insights across levels.
Cons
  • Users find the limited features of Qlik Sense restrict their ability to create custom visualizations effectively.
  • Users find the missing features in Qlik Sense restrictive, particularly lacking personal object additions and static report options.
  • Users find Qlik Sense expensive, which limits its accessibility despite its capabilities.
  • Users note the limited automation in data updates and desire better organization and visualization capabilities in Qlik Sense.
  • Users find the learning curve steep, especially with scripting functions and integration challenges for beginners.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?

Incorta

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

Who Is the Company Behind Incorta?

  • Seller: Incorta
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Mateo, CA
  • LinkedIn® Page: www.linkedin.com
    359 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Large, 29% Medium

What Do G2 Reviewers Say About Incorta?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of integration with diverse data sources, enhancing their data management efficiency.
  • Users value the easy integrations with various data sources, enhancing their data analysis experience significantly.
  • Users value the ease of integration with various data sources, enhancing their workflow and data management.
Cons
  • Users often face bugs related to outdated JRE support, impacting the performance of the local data agent.

What Are Recent G2 Reviews of Incorta?

What Are G2 Users Discussing About Incorta?

dbt

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: 208

How Do G2 Users Rate dbt?

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

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 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% Medium, 27% Small

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
  • Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
  • Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
  • Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
  • Users value the data quality of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.
Cons
  • Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
  • Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
  • Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
  • Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
  • Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

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?

Savant Labs

Savant is an AI workflow 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, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. 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 and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs 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 workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: 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, data lineage, and evidence packs: 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. - 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: 51

How Do G2 Users Rate Savant Labs?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Data Workflows: 9.3/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.0/10 (Category avg: 8.6/10)
  • Data Joining: 9.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Savant Labs?

  • Seller: Savant Labs
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    66 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Logistics and Supply Chain
  • Company Size: 42% Large, 40% Medium

What Do G2 Reviewers Say About Savant Labs?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use in Savant Labs, enabling seamless analytics without requiring extensive knowledge.
  • Users appreciate the friendly customer support from Savant Labs, which provides timely assistance for any issues encountered.
  • Users praise the user-friendly interface of Savant Labs, making complex data analytics accessible to everyone.
  • Users enjoy the easy integration capabilities of Savant Labs, simplifying workflows and enhancing data connectivity effortlessly.
  • Users appreciate the scalability of Savant Labs, enjoying its straightforward integration and user-friendly interface.
Cons
  • Users note a steep learning curve with Savant Labs, often struggling with data source updates and tool integration.
  • Users experience a steep learning curve with Savant Labs, making it challenging to master effectively.
  • Users often face integration issues, struggling with data updates and lacking clear instructions for linking tools effectively.
  • Users face access issues with Savant Labs, struggling to log in and navigate complex features and tools.
  • Users face data management challenges, struggling with updating sources and lack of clear guidance in Savant Labs.

What Are Recent G2 Reviews of Savant Labs?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated