Best Data Preparation Tools and Software

How Many Data Preparation Software Products Does G2 Track?

Total Products under this Category: 126

Category Stats (Sep 2026)

  • Average Rating: 4.53/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Palantir Foundry (+1.8%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Preparation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,200+ Authentic Reviews
  • 126+ 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, HubSpot Data Hub, dbt, KNIME, and Incorta.

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=hubspot-data-hub&focus%5B%5D=dbt&focus%5B%5D=knime-analytics-platform&focus%5B%5D=incorta)

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: 4,061

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, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

Average Rating: 4.6/5.0

Total Reviews: 863

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: 63% 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: 775

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 Inc.
  • 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 value the powerful data visualization capabilities of SAS Viya, enhancing insights and decision-making in their organizations.
Cons
  • Users find SAS Viya difficult for non-technical users to navigate, impacting ease of access to reports and dashboards.
  • Users find the visualization complexity of SAS Viya challenging, especially for those without technical expertise.
  • Users find the learning curve challenging, especially for non-technical individuals navigating reports and dashboards.
  • 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?

HubSpot Data Hub

Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.

Average Rating: 4.5/5.0

Total Reviews: 596

How Do G2 Users Rate HubSpot Data Hub?

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

Who Is the Company Behind HubSpot Data Hub?

  • Seller: HubSpot
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, Massachusetts, United States
  • Twitter: @HubSpot
    784,270 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Owner
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 65% Small, 32% Medium

What Do G2 Reviewers Say About HubSpot Data Hub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of HubSpot Data Hub, making information easily accessible and operations efficient.
  • Users value the two-way data sync of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
  • Users benefit from automation capabilities in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
  • Users value the two-way data sync across platforms, enhancing efficiency and ensuring accurate, consistent information for teams.
  • Users appreciate the efficiency of HubSpot Data Hub, streamlining data management and reducing workflow complexities.
Cons
  • Users find the limitations in data handling frustrating, particularly regarding external data integration and processing capabilities.
  • Users find the missing features in HubSpot Data Hub limit their ability to manage complex contact data effectively.
  • Users find the learning curve steep, especially when unfamiliar with workflow automation, affecting overall usability.
  • Users find HubSpot Data Hub fairly expensive, particularly for small teams wanting advanced features and customization.
  • Users find the complexity of reporting and data tracking in HubSpot Data Hub to be challenging and frustrating.

What Are Recent G2 Reviews of HubSpot Data Hub?

What Are G2 Users Discussing About HubSpot Data Hub?

Domo

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: 1,071

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?

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?

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: 117

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
    244 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 39% Large, 34% 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?

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?

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: 4.5/5.0

Total Reviews: 973

How Do G2 Users Rate Validity Engage?

  • Has the product been a good partner in doing business?: 8.8/10 (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 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: Email Marketing Manager, Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 29% 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?

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?

OWOX

OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you!

Average Rating: 4.9/5.0

Total Reviews: 290

How Do G2 Users Rate OWOX?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.1/10)

Who Is the Company Behind OWOX?

  • Seller: OWOX
  • Year Founded: 2002
  • HQ Location: WALNUT, California
  • Twitter: @owox
    435 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Chief Marketing Officer, CEO
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 48% Small, 43% Medium

What Do G2 Reviewers Say About OWOX?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of OWOX, finding it reliable and quick to implement without issues.
  • Users appreciate the excellent support team and flexibility of OWOX in addressing their unique needs.
  • Users value the transparency and accessibility of data ownership with OWOX, enhancing their data management capabilities.
  • Users value the excellent customer support from OWOX, appreciating their responsiveness and ongoing assistance.
  • Users value the ease of use and insightful analytics of OWOX, significantly enhancing their data-driven decisions.
Cons
  • Users face data management issues with OWOX, highlighting bugs and scheduling reliability concerns affecting their experience.
  • Users face error handling challenges with OWOX, often requiring dedicated resources for troubleshooting and issue resolution.
  • Users find the pricing structure expensive, wishing for more affordable options to enhance their experience.
  • Users feel the integration issues with third-party apps hinder the overall functionality of OWOX.
  • Users desire more step-by-step instructions and greater reliability in scheduling features for OWOX.

What Are Recent G2 Reviews of OWOX?

What Are G2 Users Discussing About OWOX?

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
    147,094 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?

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?

DataGroomr

DataGroomr is the leading AI-powered Salesforce data quality platform, helping organizations identify duplicates, merge records, standardize data, enrich information, verify accuracy, and automate ongoing data maintenance all from a single, easy-to-use solution. Clean, reliable data is essential for sales, marketing, customer support, operations, and finance teams. Yet duplicate records, incomplete information, inconsistent formats, and outdated data continue to create costly challenges that impact productivity, reporting accuracy, customer experiences, and business decisions. DataGroomr solves these challenges with advanced artificial intelligence that continuously monitors and improves Salesforce data quality. Unlike traditional tools that depend on complex matching rules and ongoing maintenance, DataGroomr uses AI-powered matching to accurately identify duplicate records across Accounts, Contacts, Leads, and other Salesforce objects with little to no configuration required. The platform helps organizations uncover more duplicates with greater accuracy, merge records safely and efficiently, automate deduplication processes, and prevent new duplicates from entering Salesforce. Intelligent matching continuously learns from data patterns and user actions to improve performance over time. Beyond duplicate management, DataGroomr provides comprehensive data quality capabilities including data standardization, email, phone, and address verification, and agentic data enrichment. Teams can fill in missing information, improve record completeness, maintain consistent formatting, and ensure customer and prospect data remains accurate and actionable. DataGroomr also supports key Salesforce workflows, including lead conversion, bulk record management, and import preparation. Organizations can identify and resolve data quality issues before they impact users, reports, automations, integrations, or downstream systems. With powerful automation, intuitive workflows, and real-time visibility into data quality health, DataGroomr makes it easy to establish and maintain trusted Salesforce data at scale. Customers benefit from improved user confidence, more accurate reporting, stronger operational efficiency, and better business outcomes. Trusted by organizations of all sizes and backed by exceptional customer support, DataGroomr delivers a smarter, simpler approach to Salesforce data quality, helping teams spend less time fixing data and more time using it. Start your free trial at: http://www.datagroomr.com

Average Rating: 4.8/5.0

Total Reviews: 35

How Do G2 Users Rate DataGroomr?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 9.1/10)
  • Data Workflows: 8.9/10 (Category avg: 8.9/10)
  • Profiling and Classification: 9.1/10 (Category avg: 8.6/10)
  • Data Joining: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind DataGroomr?

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management
  • Company Size: 63% Medium, 20% Small

What Do G2 Reviewers Say About DataGroomr?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the granular approach to duplicate management in DataGroomr, finding it essential for Salesforce maintenance.
  • Users appreciate the user-friendly interface of DataGroomr, making duplicate management in Salesforce effortless and efficient.
  • Users praise the excellent customer support from DataGroomr, noting quick responses and attentive assistance during onboarding.
  • Users value the intuitive interface of DataGroomr, appreciating its user-friendly design for efficient duplicate management.
  • Users praise the seamless Salesforce integration of DataGroomr for efficient duplicate record management and support.
Cons
  • Users note a steep learning curve for DataGroomr, requiring time to master its features effectively.
  • Users note that there's a learning curve with DataGroomr, making it complex for new users to grasp quickly.
  • Users caution about a difficult learning curve, emphasizing the need for time to master DataGroomr's features effectively.
  • Users find the difficult setup challenging, especially with strict rules and customized mappings, but support is helpful.
  • Users face a learning difficulty with DataGroomr, requiring time to grasp its complex logic and features.

What Are Recent G2 Reviews of DataGroomr?

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 highlight the easy integrations of Savant Labs, allowing seamless connectivity with various data sources effortlessly.
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 October 29, 2024