# Best Machine Learning Data Catalog Software - Page 2 *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Machine learning data catalogs allow companies to categorize, access, interpret, and collaborate around company data across multiple data sources, while maintaining a high level of governance and access management. Artificial intelligence is key to many features of machine learning data catalogs, enabling functionality such as machine learning recommendations, natural language querying, and dynamic data masking for enhanced security purposes. Companies can utilize machine learning data catalogs to maintain data sets in a single location so that searching for and discovering data is simple for everyday business users and analysts alike. Users have the ability to comment on, share, and recommend data sets so colleagues can have an immediate understanding of what they are querying. Additionally, IT administrators can put into place user provisioning to ensure unauthorized employees are not accessing sensitive data. Machine learning data catalogs are most frequently implemented by companies that have multiple data sources, are searching for one source of truth, and are attempting to scale data usage company-wide. These products are generally administered by IT departments, who can maintain organization and security, but data can be accessed by data scientists or analysts and the average business user. The data can then be transformed, modeled, and visualized either directly in the machine learning data catalog or through an integration with [business intelligence software](https://www.g2.com/categories/business-intelligence). It should be noted that not all machine learning data catalogs provide data preparation capabilities and may require an integration with a [business intelligence platform](https://www.g2.com/categories/business-intelligence-platforms). Additionally, these tools differ from [master data management software](https://www.g2.com/categories/master-data-management-mdm) due to their enhanced governance, collaboration, and machine learning functionality. To qualify for inclusion in the Machine Learning Data Catalog category, a product must: - Organize and consolidate data from all company sources in a single repository - Provide user access management for security and data governance purposes - Allow business users to search and access the data from within the catalog - Offer collaboration features around data sets, including categorizing, commenting, and sharing - Give intelligent recommendations based on machine learning for quicker access to relevant data ## G2 Grid® for Machine Learning Data Catalog Software ![G2 Grid® for Machine Learning Data Catalog Software plotting products by satisfaction and market presence](https://www.g2.com/categories/machine-learning-data-catalog/grids.png?focus%5B%5D=108031&focus%5B%5D=40849&focus%5B%5D=35126&focus%5B%5D=113991&focus%5B%5D=111980&focus%5B%5D=91379&focus%5B%5D=39669&focus%5B%5D=1224334) Highlighted products: Atlan, AWS Glue, Alation, Google Cloud Data Catalog, erwin Data Modeler, Appen, Collibra, and decube. Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning-data-catalog/grids.json?focus%5B%5D=atlan&focus%5B%5D=aws-glue&focus%5B%5D=alation&focus%5B%5D=google-cloud-data-catalog&focus%5B%5D=quest-software-erwin-data-modeler&focus%5B%5D=appen&focus%5B%5D=collibra&focus%5B%5D=decube) ## How Many Machine Learning Data Catalog Software Products Does G2 Track? **Total Products under this Category:** 90 ### Category Stats (Jul 2026) - **Average Rating**: 4.3/5 (↓0.08 vs Jun 2026) The average rating of products in this category, based on all submitted ratings *Last updated: July 12, 2026* ## How Does G2 Rank Machine Learning Data Catalog Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,800+ Authentic Reviews - 90+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Machine Learning Data Catalog Software Is Best for Your Use Case? - **Leader:** [Atlan](https://www.g2.com/products/atlan/reviews) - **Highest Performer:** [Collibra](https://www.g2.com/products/collibra/reviews) - **Easiest to Use:** [AWS Glue](https://www.g2.com/products/aws-glue/reviews) - **Top Trending:** [Atlan](https://www.g2.com/products/atlan/reviews) - **Best Free Software:** [Alation](https://www.g2.com/products/alation/reviews) --- **Sponsored** ### Cloudera Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1383&secure%5Bchosen_at%5D=2026-07-17T03%3A11%3A50Z&secure%5Bdisplayable_resource_id%5D=1383&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1383&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=1383&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fmachine-learning-data-catalog&secure%5Btoken%5D=3487e2e8ac36a8fe8d4f42be2f275b809033cef7e0eb7fcfd645f0e2ee4311b8&secure%5Burl%5D=https%3A%2F%2Fwww.cloudera.com%2Fproducts%2Fcloudera-data-platform%2Fcdp-demos.html%3Finternal_link%3Dp18%23get-started&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Machine Learning Data Catalog Software Products in 2026? ### 1. [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The platform emphasizes the importance of metadata, ensuring that all stakeholders have access to the necessary context and information to make informed decisions. The platform features two primary products: DataGalaxy Catalog and DataGalaxy Portfolio. DataGalaxy Catalog serves as a comprehensive metadata repository, providing users with the context needed to build trust in their data assets while ensuring compliance with relevant regulations. This centralized hub allows organizations to manage their metadata efficiently, making it easier for teams to find, understand, and leverage data for strategic initiatives. On the other hand, DataGalaxy Portfolio acts as a value management tool that tracks the ROI impact of data and AI initiatives on business performance. It enables organizations to track and demonstrate the value created from their data investments, fostering alignment from C-level executives all the way through to business stakeholders. By visualizing the outcomes of data-driven projects, DataGalaxy Portfolio helps organizations prioritize their efforts and allocate resources effectively, ensuring that data initiatives are aligned with business objectives. Targeted towards enterprises looking to enhance their data governance and management practices, DataGalaxy is particularly beneficial for organizations operating in complex environments where data is abundant but underutilized. By integrating data governance with business strategy, DataGalaxy stands out in its category as a solution that not only addresses the technical aspects of data management but also emphasizes the human element of data utilization. This holistic approach ensures that organizations can maximize the value of their data assets while fostering collaboration across teams, ultimately driving better business outcomes. **Average Rating:** 4.8/5.0 **Total Reviews:** 63 **How Do G2 Users Rate DataGalaxy?** - **Ease of Use:** 9.5/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 9.6/10 (Category avg: 8.4/10) - **Data Lineage:** 9.6/10 (Category avg: 8.7/10) **Who Is the Company Behind DataGalaxy?** - **Seller:** [DataGalaxy](https://www.g2.com/sellers/datagalaxy) - **Company Website:** https://www.datagalaxy.com - **Year Founded:** 2015 - **HQ Location:** Lyon, Rhone-Alpes - **Twitter:** @DataGalaxy (864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datagalaxy/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Insurance, Banking - **Company Size:** 54% Enterprise, 43% Mid-Market #### What Are DataGalaxy's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Collaboration (3 reviews) - Integrations (3 reviews) - User Interface (3 reviews) - Accessibility (2 reviews) **Cons:** - User Interface Issues (3 reviews) - Limited Functionality (2 reviews) - User Difficulty (2 reviews) - Connector Issues (1 reviews) - Difficult Interface (1 reviews) ### What Do G2 Reviewers Say About DataGalaxy? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of DataGalaxy, enjoying seamless integration and user-friendly customization options. - Users value the **collaborative tool** features of DataGalaxy, enabling seamless teamwork and data sharing across teams. - Users value the **easy integrations** of DataGalaxy, seamlessly connecting with essential data tools and enhancing their infrastructure. - Users appreciate the **easy-to-use interface** of DataGalaxy, enhancing data visualization and collaboration seamlessly. - Users value the **accessibility** of DataGalaxy, ensuring all employees with a business email can easily access the tool. **Cons:** - Users find the **interface unintuitive** with various usability issues and a lack of matured functions. - Users feel the **limited capabilities** hinder policy management, but appreciate ongoing improvements from the Data Galaxy team. - Users find the **interface not intuitive** , struggling with immature functions and challenging metadata imports. - Users often face **connector issues** that make importing metadata challenging and frustrating. - Users find the **difficult interface** of DataGalaxy challenging, with some functions lacking maturity and consistency. #### What Are Recent G2 Reviews of DataGalaxy? **"[A comprehensive and accessible tool to strengthen governance and trust in data](https://www.g2.com/survey_responses/datagalaxy-review-12911659)"** **Rating:** 5.0/5.0 stars *— Jean C.* [Read full review](https://www.g2.com/survey_responses/datagalaxy-review-12911659) --- **"[Ergonomic Business Tool around data knowledge and excellent publisher support](https://www.g2.com/survey_responses/datagalaxy-review-11878399)"** **Rating:** 5.0/5.0 stars *— Maurice L.* [Read full review](https://www.g2.com/survey_responses/datagalaxy-review-11878399) --- ### 2. [Sama](https://www.g2.com/products/sama/reviews) Sama is a globally recognized leader in data annotation solutions for enterprise computer vision and generative AI models that require the highest accuracy. As an industry pioneer with 15 years of experience, Sama’s expertise and solutions are trusted by leading companies such as GM, Ford, Continental, Google, and many more. Sama specializes in data annotation services for generative AI, and 2D and 3D image and video (including LiDAR and sensor fusion). We also validate complex machine learning algorithms. As a leader in ethical AI and a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good. We have meaningfully improved employment and income outcomes for those with the greatest barriers to formal work (validated by an independent MIT study). So far, we've helped more than 60,000 people lift themselves out of poverty. For more information, visit www.sama.com **Average Rating:** 4.6/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Sama?** - **Ease of Use:** 9.2/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 8.9/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Sama?** - **Seller:** [Sama](https://www.g2.com/sellers/sama) - **Year Founded:** 2008 - **HQ Location:** San Francisco, US - **Twitter:** @SamaAI (228,871 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/410136 (4,342 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 55% Small-Business, 36% Enterprise #### What Are Sama's Pros and Cons? **Pros:** - Analytics (1 reviews) - Customer Support (1 reviews) - Data Cataloging (1 reviews) - Data Lineage (1 reviews) - Data Management (1 reviews) **Cons:** - Complexity (1 reviews) - Complex Setup (1 reviews) - Lack of Training (1 reviews) - Training Required (1 reviews) ### What Do G2 Reviewers Say About Sama? *AI-generated summary from verified user reviews* **Pros:** - Users value the **amazing data preprocessing and enrichment features** of Sama, enhancing their analytics experience significantly. - Users appreciate the **24/7 customer support** provided by Sama, enhancing their experience with helpful tutorials and demos. - Users appreciate the **amazing data preprocessing and enrichment features** of Sama, enhancing their analytics capabilities significantly. - Users value the **robust data pre-processing and enrichment features** of Sama, enhancing their analytics capabilities significantly. - Users appreciate the **amazing data pre-processing and enrichment features** of Sama, enhancing their analytics capabilities. **Cons:** - Users find the **complexity** of Sama necessitates significant training or skilled personnel, making it challenging to operate. - Users find the **complex setup** of Sama requires extensive training or skilled personnel, complicating initial usage. - Users express concerns about the **lack of training** needed to operate Sama effectively, making it complex and challenging. - Users find the product requires **extensive training** , making operation complex and challenging without skilled personnel. #### What Are Recent G2 Reviews of Sama? **"[Impressive accuracy on their data annotations](https://www.g2.com/survey_responses/sama-review-9935840)"** **Rating:** 4.5/5.0 stars *— Nikita D.* [Read full review](https://www.g2.com/survey_responses/sama-review-9935840) --- **"[Translates to better model performance](https://www.g2.com/survey_responses/sama-review-9669978)"** **Rating:** 4.5/5.0 stars *— Mohammad A.* [Read full review](https://www.g2.com/survey_responses/sama-review-9669978) --- ### 3. [Anzo](https://www.g2.com/products/anzo/reviews) Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semantic layer adds real-world meaning to data – structured and unstructured alike – making insights clearer and previously unseen connections explicit. Graph Studio creates a single pane of glass for an enterprise's data, eliminates data silos, activates unused data, and enables exciting new levels of on-demand business insight. **Average Rating:** 4.3/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Anzo?** - **Ease of Use:** 9.4/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 9.2/10 (Category avg: 8.6/10) - **Metadata Management :** 10.0/10 (Category avg: 8.4/10) - **Data Lineage:** 9.6/10 (Category avg: 8.7/10) **Who Is the Company Behind Anzo?** - **Seller:** [Cambridge Semantics](https://www.g2.com/sellers/cambridge-semantics) - **Year Founded:** 2007 - **HQ Location:** Boston, Massachusetts - **LinkedIn® Page:** https://www.linkedin.com/company/202709 (22 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Small-Business, 36% Mid-Market #### What Are Recent G2 Reviews of Anzo? **"[Fantastic software to cut data workload](https://www.g2.com/survey_responses/anzo-review-9222824)"** **Rating:** 5.0/5.0 stars *— Usman K.* [Read full review](https://www.g2.com/survey_responses/anzo-review-9222824) --- **"[Amazing Data Replication Features - Very Effective and Customization](https://www.g2.com/survey_responses/anzo-review-9508915)"** **Rating:** 4.5/5.0 stars *— Claudio D.* [Read full review](https://www.g2.com/survey_responses/anzo-review-9508915) --- ### 4. [Denodo](https://www.g2.com/products/denodo/reviews) Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers. **Average Rating:** 4.3/5.0 **Total Reviews:** 39 **How Do G2 Users Rate Denodo?** - **Ease of Use:** 8.7/10 (Category avg: 8.6/10) - **Metadata Management :** 6.7/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Denodo?** - **Seller:** [Denodo](https://www.g2.com/sellers/denodo) - **Year Founded:** 1999 - **HQ Location:** Palo Alto, CA - **Twitter:** @denodo (5,555 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/32150/ (794 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 47% Enterprise, 30% Mid-Market #### What Are Denodo's Pros and Cons? **Pros:** - Functionality (3 reviews) - Connectors (2 reviews) - Data Cataloging (2 reviews) - Data Integration (2 reviews) - Ease of Use (2 reviews) **Cons:** - Expensive (2 reviews) - Bug Issues (1 reviews) - Bugs (1 reviews) - Difficult Learning (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Denodo? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate Denodo's **seamless integration and unified data access** , greatly enhancing workflows and data management processes. - Users appreciate the **seamless integration with extensive built-in connectors** , enhancing workflows and data management efficiency. - Users appreciate the **seamless integration** features of Denodo, enhancing data management and streamlining workflows significantly. - Users appreciate the **seamless data integration** capabilities of Denodo, enhancing workflows and providing a unified data view. - Users appreciate the **ease of use** of Denodo, simplifying setup and enhancing data management through seamless integration. **Cons:** - Users find the **cost of Denodo to be high** , making it less accessible for smaller enterprises. - Users experience **buggy issues** with the Web Designer, impacting overall usability compared to the Admin tool. - Users note that the Web Designer has some **bugs** that hinder smooth operations compared to the Admin tool. - Users find Denodo has a **steep learning curve** , making it less suitable for smaller companies. - Users note a **steep learning curve** with Denodo, making it less suitable for smaller companies. #### What Are Recent G2 Reviews of Denodo? **"[Effortless Data Virtualization with Top-Notch Security](https://www.g2.com/survey_responses/denodo-review-12582329)"** **Rating:** 4.5/5.0 stars *— Aman M.* [Read full review](https://www.g2.com/survey_responses/denodo-review-12582329) --- **"[Denodo’s Real-Time Data Virtualization Makes Integration Fast and Flexible](https://www.g2.com/survey_responses/denodo-review-12255977)"** **Rating:** 4.5/5.0 stars *— Mahmoud H.* [Read full review](https://www.g2.com/survey_responses/denodo-review-12255977) --- #### What Are G2 Users Discussing About Denodo? - [What is Denodo used for?](https://www.g2.com/discussions/denodo-what-is-denodo-used-for) - [Is denodo a database?](https://www.g2.com/discussions/is-denodo-a-database) - [What is denodo data virtualization?](https://www.g2.com/discussions/what-is-denodo-data-virtualization) - [What is denodo tool?](https://www.g2.com/discussions/what-is-denodo-tool) - [What is denodo used for?](https://www.g2.com/discussions/what-is-denodo-used-for) ### 5. [Shaip Cloud](https://www.g2.com/products/shaip-cloud/reviews) Shaip Data is a modern platform designed to gather high-quality, ethical data for training AI models. It has three main parts: Shaip Manage, Shaip Work, and Shaip Intelligence. The platform makes workflows easier, reduces issues with a global team, and offers better visibility and real-time quality checks. Shaip Data helps quickly collect, process, and label large amounts of data (text, audio, images, and video) to train and improve AI and ML models. **Average Rating:** 4.3/5.0 **Total Reviews:** 21 **How Do G2 Users Rate Shaip Cloud?** - **Ease of Use:** 8.3/10 (Category avg: 8.6/10) **Who Is the Company Behind Shaip Cloud?** - **Seller:** [Shaip](https://www.g2.com/sellers/shaip) - **Year Founded:** 2018 - **HQ Location:** Louisville, Kentucky - **Twitter:** @weareShaip (224 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/66611098 (361 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 41% Enterprise, 36% Small-Business #### What Are Recent G2 Reviews of Shaip Cloud? **"[Boosting my App with Shaip Cloud](https://www.g2.com/survey_responses/shaip-cloud-review-8561561)"** **Rating:** 5.0/5.0 stars *— Dhawlandra S.* [Read full review](https://www.g2.com/survey_responses/shaip-cloud-review-8561561) --- **"[Gold Standard AI Driven Healthcare Solutions](https://www.g2.com/survey_responses/shaip-cloud-review-8255450)"** **Rating:** 4.5/5.0 stars *— Nikhil G.* [Read full review](https://www.g2.com/survey_responses/shaip-cloud-review-8255450) --- ### 6. [Solidatus](https://www.g2.com/products/solidatus/reviews) Solidatus gives you trust in your data and confidence in your decisions. Get fast insights with dynamic discovery, game-changing visualization and the ability to sustainably govern your complex data landscape. By revealing hidden opportunities, threats and the impact of change, your Solidatus data blueprint will help you make the unknown known, so you can optimize your infrastructure, operate more efficiently and minimize risk. **Average Rating:** 4.2/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Solidatus?** - **Ease of Use:** 7.9/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 7.8/10 (Category avg: 8.6/10) - **Metadata Management :** 7.8/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Solidatus?** - **Seller:** [Solidatus](https://www.g2.com/sellers/solidatus) - **Year Founded:** 2011 - **HQ Location:** London, GB - **Twitter:** @Solidatus_com (335 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/solidatus/ (65 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Small-Business, 30% Mid-Market #### What Are Recent G2 Reviews of Solidatus? **"[Game-changer platform for data governance initiatives](https://www.g2.com/survey_responses/solidatus-review-8258738)"** **Rating:** 4.5/5.0 stars *— CA Prashant S.* [Read full review](https://www.g2.com/survey_responses/solidatus-review-8258738) --- **"[Manage Your All Data And Visualize It With Solidatus](https://www.g2.com/survey_responses/solidatus-review-8651431)"** **Rating:** 4.5/5.0 stars *— Kavya K.* [Read full review](https://www.g2.com/survey_responses/solidatus-review-8651431) --- ### 7. [Validio](https://www.g2.com/products/validio/reviews) Validio helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational data. Validio's AI-powered platform automatically monitors and validates both data and business KPIs, surfacing issues in real-time. This enables confident data-driven decision making across business domains such as user experiences, personalization, growth, and product development. **Average Rating:** 5.0/5.0 **Total Reviews:** 17 **How Do G2 Users Rate Validio?** - **Ease of Use:** 9.6/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 9.6/10 (Category avg: 8.6/10) - **Metadata Management :** 10.0/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Validio?** - **Seller:** [Validio](https://www.g2.com/sellers/validio) - **Year Founded:** 2019 - **HQ Location:** Stockholm, SE - **Twitter:** @Validio_Data (65 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/validio-ab/ (36 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 59% Mid-Market, 29% Small-Business #### What Are Validio's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Easy Setup (4 reviews) - Setup Ease (3 reviews) - Alerts (2 reviews) - Customer Support (2 reviews) **Cons:** - Limited Customization (4 reviews) - Inadequate Reporting (2 reviews) - Filtering Issues (1 reviews) - Poor Documentation (1 reviews) ### What Do G2 Reviewers Say About Validio? *AI-generated summary from verified user reviews* **Pros:** - Users find Validio's **ease of use** exceptional, making setup and implementation straightforward and efficient. - Users appreciate the **easy setup** of Validio, finding it simple to integrate and implement for various datasets. - Users find Validio's **setup ease** exceptional, facilitating quick implementation and effective data validation across diverse datasets. - Users value the **easy setup of actionable alerts** in Validio, allowing for rapid response to data quality issues. - Users appreciate the **knowledgeable and helpful customer support** of Validio, enhancing their overall experience and implementation. **Cons:** - Users note the **limited customization** options in Validio, particularly for advanced features and reporting needs. - Users express concern over **inadequate reporting** , highlighting poor documentation and limited customization options for advanced features. - Users desire more **customizability in filtering segments** for validations to enhance their experience with Validio. - Users find the **poor documentation** of Validio frustrating, hindering their ability to fully utilize its features. #### What Are Recent G2 Reviews of Validio? **"[Peace of Mind: The VPN That Just Works](https://www.g2.com/survey_responses/validio-review-11949597)"** **Rating:** 5.0/5.0 stars *— Amr H.* [Read full review](https://www.g2.com/survey_responses/validio-review-11949597) --- **"[Validio is an automated data observability and quality platform that enhances data team productivity](https://www.g2.com/survey_responses/validio-review-11907076)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/validio-review-11907076) --- ### 8. [DQLabs](https://www.g2.com/products/dqlabs/reviews) DQLabs offers PRIZM, which is an AI-native platform that unifies context, data observability, and quality into a single control plane that continuously understands data, evaluates its trustworthiness, and operates across the enterprise. PRIZM is used by enterprises to detect, explain, and resolve data issues before they impact analytics or AI systems and orchestrate resolution with minimal human intervention, while keeping humans in control through AI stewardship. **Average Rating:** 4.6/5.0 **Total Reviews:** 43 **How Do G2 Users Rate DQLabs?** - **Ease of Use:** 9.6/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 10.0/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind DQLabs?** - **Seller:** [DQLabs](https://www.g2.com/sellers/dqlabs) - **Year Founded:** 2020 - **HQ Location:** Pasadena, California - **Twitter:** @DQLABSAI (246 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dqlabsai/ (113 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 44% Mid-Market, 20% Enterprise #### What Are DQLabs's Pros and Cons? **Pros:** - Data Quality (28 reviews) - Ease of Use (24 reviews) - Efficiency Improvement (24 reviews) - Automation (20 reviews) - Features (20 reviews) **Cons:** - Poor Documentation (7 reviews) - Product Immaturity (2 reviews) - Complexity (1 reviews) - Data Management Issues (1 reviews) - Data Quality (1 reviews) ### What Do G2 Reviewers Say About DQLabs? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **comprehensive data quality coverage** offered by DQLabs, enhancing reliability and decision-making efficiency. - Users find DQLabs' **ease of use** remarkable, empowering both technical and non-technical teams to manage data effectively. - Users praise DQLabs for its **efficiency improvement** , enhancing data quality and decision-making with automated AI tools. - Users commend DQLabs for its **automation capabilities** , enhancing data management efficiency and simplifying observability across projects. - Users value DQLabs for its **AI-driven anomaly detection** , simplifying the identification of unexpected data issues effortlessly. **Cons:** - Users feel the **poor documentation** of DQLabs hampers their understanding and use of the product. - Users note the need for **greater feature maturity** in DQLabs, as some functionalities are still in development. - Users experience **challenges with unstructured data** , making the DQLabs product more complex to navigate effectively. - Users find managing **unstructured data** in DQLabs somewhat challenging, impacting their overall data management experience. - Users find the **customization options for data quality rules lacking** , limiting their ability to tailor them to specific needs. #### What Are Recent G2 Reviews of DQLabs? **"[Automates Data Governance](https://www.g2.com/survey_responses/dqlabs-review-12020560)"** **Rating:** 4.5/5.0 stars *— Saran K.* [Read full review](https://www.g2.com/survey_responses/dqlabs-review-12020560) --- **"[Intuitive DQ Platform with Cutting-Edge Features](https://www.g2.com/survey_responses/dqlabs-review-12028595)"** **Rating:** 4.5/5.0 stars *— Raghavendra V.* [Read full review](https://www.g2.com/survey_responses/dqlabs-review-12028595) --- #### What Are G2 Users Discussing About DQLabs? - [How data quality is managed?](https://www.g2.com/discussions/how-data-quality-is-managed) - [What is augmented data management?](https://www.g2.com/discussions/what-is-augmented-data-management) - [What is augmented data quality?](https://www.g2.com/discussions/what-is-augmented-data-quality) ### 9. [Infogix Data360 Govern®](https://www.g2.com/products/infogix-data360-govern/reviews) Data3Sixty facilitates answers to fundamental questions about data, such as source, use, meaning, ownership, and quality through a robust suite of governance solutions, including business glossary, data dictionary, data catalog, data lineage, and metadata management. Customizable dashboards and zero-code workflows ensure users can quickly and easily leverage data to maximum advantage. **Average Rating:** 4.1/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Infogix Data360 Govern®?** - **Ease of Use:** 8.3/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 6.7/10 (Category avg: 8.6/10) - **Metadata Management :** 6.7/10 (Category avg: 8.4/10) - **Data Lineage:** 6.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Infogix Data360 Govern®?** - **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55) - **HQ Location:** Burlington, Massachusetts - **Twitter:** @PreciselyData (3,963 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64863146/ (3,006 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Enterprise, 25% Mid-Market #### What Are Recent G2 Reviews of Infogix Data360 Govern®? **"[Very efficient Data management Software](https://www.g2.com/survey_responses/infogix-data360-govern-review-6746109)"** **Rating:** 4.5/5.0 stars *— Surabhi B.* [Read full review](https://www.g2.com/survey_responses/infogix-data360-govern-review-6746109) --- **"[Review](https://www.g2.com/survey_responses/infogix-data360-govern-review-6737313)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/infogix-data360-govern-review-6737313) --- #### What Are G2 Users Discussing About Infogix Data360 Govern®? - [What is Infogix Data360 Govern® used for?](https://www.g2.com/discussions/what-is-infogix-data360-govern-used-for) ### 10. [Promethium](https://www.g2.com/products/promethium/reviews) Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architectures that require complex ETL pipelines and data movement, Promethium provides real-time, zero-copy access to distributed data across cloud, on-premises, and SaaS platforms. The platform's 360° Context Engine aggregates technical and business metadata to ensure accurate, contextual responses, while Mantra™, our Data Answer Agent, enables teams to build and share reusable data products instantly. Promethium empowers data teams to respond 10x faster to business questions while maintaining enterprise-grade governance and security. **Average Rating:** 4.2/5.0 **Total Reviews:** 13 **How Do G2 Users Rate Promethium?** - **Ease of Use:** 7.8/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 8.3/10 (Category avg: 8.6/10) - **Metadata Management :** 9.6/10 (Category avg: 8.4/10) - **Data Lineage:** 9.2/10 (Category avg: 8.7/10) **Who Is the Company Behind Promethium?** - **Seller:** [Promethium](https://www.g2.com/sellers/promethium) - **Year Founded:** 2018 - **HQ Location:** Menlo Park, US - **Twitter:** @PromethiumI (366 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/pm61data/ (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 46% Mid-Market, 31% Enterprise #### What Are Promethium's Pros and Cons? **Pros:** - Insights (4 reviews) - Analytics (3 reviews) - Collaboration (2 reviews) - Data Management (2 reviews) - Data Visualization (2 reviews) **Cons:** - Complexity (1 reviews) - Complex Usage (1 reviews) - Difficult Learning (1 reviews) - Lacking Features (1 reviews) - Limited Features (1 reviews) ### What Do G2 Reviewers Say About Promethium? *AI-generated summary from verified user reviews* **Pros:** - Users value the **centralized data management** of Promethium, enhancing collaboration and facilitating informed decision-making. - Users value the **centralized analytics** in Promethium, enhancing teamwork and data-driven decision making effectively. - Users value the **effective collaboration** facilitated by Promethium, enhancing teamwork and decision-making through centralized data management. - Users commend the **centralized data management** in Promethium, appreciating its ease of use, teamwork, and advanced analytics. - Users value the **interactive visualizations** of Promethium, enhancing their data analysis and decision-making capabilities. **Cons:** - Users find the **complex insights** of Promethium challenging to interpret, especially if they're not experts. - Users find the **complex insights** of Promethium challenging to interpret, especially without a technical background. - Users find that **difficult learning** hinders their ability to interpret complex insights effectively. - Users find Promethium **lacking several important features** compared to other analytics tools, leading to frustration. - Users find the **limited features** of Promethium frustrating compared to other analytics tools, impacting their overall experience. #### What Are Recent G2 Reviews of Promethium? **"[Promethium](https://www.g2.com/survey_responses/promethium-review-8335269)"** **Rating:** 4.0/5.0 stars *— Tulika .* [Read full review](https://www.g2.com/survey_responses/promethium-review-8335269) --- **"[Great SaaS service to leverage digital transformation](https://www.g2.com/survey_responses/promethium-review-8843317)"** **Rating:** 4.0/5.0 stars *— Yahveh D.* [Read full review](https://www.g2.com/survey_responses/promethium-review-8843317) --- ### 11. [sidecar](https://www.g2.com/products/sidecar-data-sidecar/reviews) Sidecar data catalog is a modern, intuitive and comprehensive tool to discover, classify and enrich all your data assets. Automatically index all the metadata in a centralized repository and provide a clear view of the complex and fragmented data management environments to your data consumer. With the Business Glossary capabilties, you can easily enrich all your data assets with business context, clear definitions, rules and transformations. Foster team work among the user community by exchanging ideas on the data assets with the collaboration tool. Add custom tags and classifcations to organize your assets and manage your sensitive data to comply with GDPR, HIPAA, CPRA, etc... Data consumers will spend less time searching for the right data and focus on delivering faster insights. **Average Rating:** 4.5/5.0 **Total Reviews:** 4 **How Do G2 Users Rate sidecar?** - **Ease of Use:** 8.3/10 (Category avg: 8.6/10) **Who Is the Company Behind sidecar?** - **Seller:** [sidecar-data](https://www.g2.com/sellers/sidecar-data) - **Year Founded:** 2020 - **HQ Location:** Geneva, CH - **LinkedIn® Page:** https://www.linkedin.com/company/sidecar-data-catalog/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of sidecar? **"[Sidecar is a model health insurance company](https://www.g2.com/survey_responses/sidecar-review-7256096)"** **Rating:** 5.0/5.0 stars *— Patrick G.* [Read full review](https://www.g2.com/survey_responses/sidecar-review-7256096) --- **"[New and Still Learning](https://www.g2.com/survey_responses/sidecar-review-7259164)"** **Rating:** 5.0/5.0 stars *— Carmen P.* [Read full review](https://www.g2.com/survey_responses/sidecar-review-7259164) --- ### 12. [DataHawk](https://www.g2.com/products/we-bridge-datahawk/reviews) A data lineage management solution that automatically collects and analyzes data lineage of mission-critical data, visualizing data flow and derivation rule from data source to target. **Average Rating:** 4.5/5.0 **Total Reviews:** 3 **How Do G2 Users Rate DataHawk?** - **Ease of Use:** 8.3/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 7.5/10 (Category avg: 8.6/10) - **Metadata Management :** 7.5/10 (Category avg: 8.4/10) - **Data Lineage:** 7.5/10 (Category avg: 8.7/10) **Who Is the Company Behind DataHawk?** - **Seller:** [We-Bridge Worlds, LLC.](https://www.g2.com/sellers/we-bridge-worlds-llc) - **Year Founded:** 2020 - **HQ Location:** Roseville, California - **Twitter:** @webridge1 (10 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/we-bridge (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise #### What Are Recent G2 Reviews of DataHawk? **"[Valuable insights](https://www.g2.com/survey_responses/datahawk-review-8302323)"** **Rating:** 5.0/5.0 stars *— Stefani U.* [Read full review](https://www.g2.com/survey_responses/datahawk-review-8302323) --- **"[Very helpful when searcing for solutions](https://www.g2.com/survey_responses/datahawk-review-7225445)"** **Rating:** 5.0/5.0 stars *— Diana K.* [Read full review](https://www.g2.com/survey_responses/datahawk-review-7225445) --- ### 13. [Datameer](https://www.g2.com/products/datameer/reviews) Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. **Average Rating:** 4.2/5.0 **Total Reviews:** 24 **How Do G2 Users Rate Datameer?** - **Ease of Use:** 8.5/10 (Category avg: 8.6/10) **Who Is the Company Behind Datameer?** - **Seller:** [Datameer](https://www.g2.com/sellers/datameer) - **Year Founded:** 2009 - **HQ Location:** San Francisco, CA - **Twitter:** @datameer (11,208 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/972396/ (169 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 63% Enterprise, 21% Mid-Market #### What Are Recent G2 Reviews of Datameer? **"[The most complete, easy-to-use Data Engineering Tool for Low-Code Data Transformation](https://www.g2.com/survey_responses/datameer-review-8945290)"** **Rating:** 5.0/5.0 stars *— Ndz A.* [Read full review](https://www.g2.com/survey_responses/datameer-review-8945290) --- **"[Datameer is Incredible Snowflake Data Prep Solution](https://www.g2.com/survey_responses/datameer-review-8971785)"** **Rating:** 5.0/5.0 stars *— Ryan G.* [Read full review](https://www.g2.com/survey_responses/datameer-review-8971785) --- #### What Are G2 Users Discussing About Datameer? - [What is datameer spectrum?](https://www.g2.com/discussions/what-is-datameer-spectrum) - [What is datameer in Hadoop?](https://www.g2.com/discussions/what-is-datameer-in-hadoop) - 1 comment - [Who uses datameer?](https://www.g2.com/discussions/who-uses-datameer) - 1 comment - [What does Datameer do?](https://www.g2.com/discussions/what-does-datameer-do) - 1 comment ### 14. [Intel Machine Learning Scaling Library](https://www.g2.com/products/intel-machine-learning-scaling-library/reviews) Intel(R) Machine Learning Scaling Library (Intel(R) MLSL) is a library providing an efficient implementation of communication patterns used in deep learning. **Average Rating:** 4.2/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Intel Machine Learning Scaling Library?** - **Ease of Use:** 7.5/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 8.3/10 (Category avg: 8.6/10) - **Metadata Management :** 8.3/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Intel Machine Learning Scaling Library?** - **Seller:** [Intel Corporation](https://www.g2.com/sellers/intel-corporation) - **Year Founded:** 1968 - **HQ Location:** Santa Clara, CA - **Twitter:** @intel (4,467,591 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1053/ (106,198 employees on LinkedIn®) - **Ownership:** NASDAQ:INTC **Who Uses This Product?** - **Company Size:** 33% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Intel Machine Learning Scaling Library? **"[One of the best tool for Deep learning](https://www.g2.com/survey_responses/intel-machine-learning-scaling-library-review-7301206)"** **Rating:** 4.5/5.0 stars *— Verified User in Electrical/Electronic Manufacturing* [Read full review](https://www.g2.com/survey_responses/intel-machine-learning-scaling-library-review-7301206) --- **"[Great tool](https://www.g2.com/survey_responses/intel-machine-learning-scaling-library-review-2774603)"** **Rating:** 4.0/5.0 stars *— Ankit J.* [Read full review](https://www.g2.com/survey_responses/intel-machine-learning-scaling-library-review-2774603) --- #### What Are G2 Users Discussing About Intel Machine Learning Scaling Library? - [What is Intel Machine Learning Scaling Library used for?](https://www.g2.com/discussions/what-is-intel-machine-learning-scaling-library-used-for) ### 15. [Spectrum Discovery](https://www.g2.com/products/spectrum-discovery/reviews) Spectrum Discovery, a powerful predictive analytics solution, helps create a clear picture of your client and identify areas rife with opportunity - and it does it in 3D. **Average Rating:** 4.5/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Spectrum Discovery?** - **Ease of Use:** 9.2/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 7.5/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Spectrum Discovery?** - **Seller:** [Precisely](https://www.g2.com/sellers/precisely-0b25c016-ffa5-4f51-9d9e-fcbc9f54cc55) - **HQ Location:** Burlington, Massachusetts - **Twitter:** @PreciselyData (3,963 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/64863146/ (3,006 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 42% Mid-Market #### What Are Spectrum Discovery's Pros and Cons? **Pros:** - Data Management (1 reviews) - Data Quality (1 reviews) ### What Do G2 Reviewers Say About Spectrum Discovery? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data management** capabilities of Spectrum Discovery for handling educator and student information. - Users find Spectrum Discovery's **data management capabilities** invaluable for efficiently handling educator and student data. #### What Are Recent G2 Reviews of Spectrum Discovery? **"[Data handing was never so easy.](https://www.g2.com/survey_responses/spectrum-discovery-review-7512999)"** **Rating:** 4.0/5.0 stars *— Amrit A.* [Read full review](https://www.g2.com/survey_responses/spectrum-discovery-review-7512999) --- **"[Great Data management](https://www.g2.com/survey_responses/spectrum-discovery-review-10751685)"** **Rating:** 5.0/5.0 stars *— Tony W.* [Read full review](https://www.g2.com/survey_responses/spectrum-discovery-review-10751685) --- ### 16. [ThinkData Works](https://www.g2.com/products/thinkdata-works/reviews) ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing entire data warehouses, managing custom metadata and templates, and monitoring data health in real time. The result is a centralized view of refined data that can be better leveraged to drive business outcomes — with access and governance controls that support observability and compliance. - Build automated connections to data from any source - Manage, observe, and govern data on a platform as user-friendly as it is powerful - Easily and securely share data to any users, organizations, or applications https://www.thinkdataworks.com **Average Rating:** 4.6/5.0 **Total Reviews:** 14 **How Do G2 Users Rate ThinkData Works?** - **Ease of Use:** 9.7/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 10.0/10 (Category avg: 8.4/10) - **Data Lineage:** 10.0/10 (Category avg: 8.7/10) **Who Is the Company Behind ThinkData Works?** - **Seller:** [ThinkData Works](https://www.g2.com/sellers/thinkdata-works) - **Year Founded:** 2014 - **HQ Location:** Toronto, CA - **Twitter:** @thinkdataworks (1,211 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/9217518 (15 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 64% Mid-Market, 36% Small-Business #### What Are Recent G2 Reviews of ThinkData Works? **"[My View on ThinkData Works](https://www.g2.com/survey_responses/thinkdata-works-review-7747125)"** **Rating:** 4.0/5.0 stars *— sanfiya p.* [Read full review](https://www.g2.com/survey_responses/thinkdata-works-review-7747125) --- **"[A tool with amazing capabilities](https://www.g2.com/survey_responses/thinkdata-works-review-7844633)"** **Rating:** 5.0/5.0 stars *— Shreyansh J.* [Read full review](https://www.g2.com/survey_responses/thinkdata-works-review-7844633) --- ### 17. [Binah.AI](https://www.g2.com/products/binah-ai/reviews) Binah.ai’s Health Data Platform is an AI-powered, video-based, software-only solution that transforms smartphones, tablets or personal computers into a health and wellness monitoring tool – just by the user looking at the device’s camera, for less than 1 minute. Binah.ai’s award-winning technology eliminates the friction associated with wearables (maintenance, shipment, upgrades, training) and allows for the remote or on-premises extraction of a rich variety of health parameters, including blood pressure, heart rate, heart rate variability (HRV SDNN and RRI raw data), oxygen saturation, respiration rate, sympathetic stress, parasympathetic activity and pulse-respiration quotient (PRQ). **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Binah.AI?** - **Ease of Use:** 8.3/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 8.3/10 (Category avg: 8.6/10) - **Metadata Management :** 6.7/10 (Category avg: 8.4/10) - **Data Lineage:** 6.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Binah.AI?** - **Seller:** [binah.ai](https://www.g2.com/sellers/binah-ai) - **Year Founded:** 2016 - **HQ Location:** Boston, US - **Twitter:** @binah_ai (688 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/binah.ai/ (54 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Binah.AI? **"[Health is most important and everyone cannot afford it, Binah.ai is solving this problem with s/w](https://www.g2.com/survey_responses/binah-ai-review-7290995)"** **Rating:** 4.5/5.0 stars *— Manikant K.* [Read full review](https://www.g2.com/survey_responses/binah-ai-review-7290995) --- **"[A new touch of AI in Healthcare and Wellbeing](https://www.g2.com/survey_responses/binah-ai-review-7236472)"** **Rating:** 4.5/5.0 stars *— Ehteshamul H.* [Read full review](https://www.g2.com/survey_responses/binah-ai-review-7236472) --- ### 18. [Dataedo](https://www.g2.com/products/dataedo/reviews) Dataedo is a comprehensive data governance platform designed for mid-sized organizations seeking to catalog, document, and manage their data assets efficiently. It provides a centralized, intuitive solution that enhances data visibility, improves collaboration, and ensures compliance with industry regulations. Dataedo seamlessly integrates with all your data sources, giving you a clear picture of your data ecosystem in one place. It supports databases, ETLs, BI tools, applications, and data lakes through 50+ native connectors. It works with modern cloud solutions, on-premises systems, and legacy platforms. Key features of Dataedo include: - Data Catalog: Organize and document data assets for easy discovery and understanding. - Data Lineage: Visualize data flows and transformations to enhance transparency. - Data Quality: Define data validation rules to maintain data accuracy. - Data Classification: Identify and label sensitive data to support compliance with regulations such as GDPR, HIPAA, and CCPA. - Business Glossary: Standardize terminology to improve data literacy and communication. - Collaboration and Workflows: Enable teams to collaborate effectively with built-in community modules and approval workflows. - Data Profiling: Gain insights into the actual values stored in the database. Dataedo is trusted by over 1,000 organizations across industries, including financial services, government, healthcare, and education. It is an ideal solution for mid-sized companies and enterprises looking for an efficient, easy-to-use data governance tool. Start your data governance journey with Dataedo today and unlock the full potential of your data assets. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Dataedo?** - **Ease of Use:** 10.0/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 10.0/10 (Category avg: 8.6/10) - **Metadata Management :** 8.3/10 (Category avg: 8.4/10) - **Data Lineage:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Dataedo?** - **Seller:** [Dataedo](https://www.g2.com/sellers/dataedo) - **Year Founded:** 2013 - **HQ Location:** Raleigh, US - **LinkedIn® Page:** https://www.linkedin.com/company/dataedo (40 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Dataedo? **"[Dataedo greatly benefits work of Data Engineers and Business Analysts](https://www.g2.com/survey_responses/dataedo-review-4749497)"** **Rating:** 5.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/dataedo-review-4749497) --- **"[Unlocking data insights with Dataedo](https://www.g2.com/survey_responses/dataedo-review-9983294)"** **Rating:** 5.0/5.0 stars *— Vipin G.* [Read full review](https://www.g2.com/survey_responses/dataedo-review-9983294) --- #### What Are G2 Users Discussing About Dataedo? - [What is called metadata?](https://www.g2.com/discussions/what-is-called-metadata) - [How much does Dataedo cost?](https://www.g2.com/discussions/how-much-does-dataedo-cost) - [Is Dataedo free?](https://www.g2.com/discussions/is-dataedo-free) - 1 comment ### 19. [SelectZero](https://www.g2.com/products/selectzero/reviews) SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven is a strategic goal for many companies, as it unlocks new business opportunities, improves decision-making, and drives efficiency. But these gains are only achievable when the underlying data is accurate, timely, and trustworthy. Without continuous visibility into how data changes and moves across systems, teams risk delays, poor analytics, and costly mistakes. SelectZero provides a collaborative platform for end-to-end data observability and management. It enables centralized oversight of data quality, automates validation workflows, and offers transparency into data behavior. Key features include data profiling, business rule validation, unit and regression testing, reconciliation, anomaly detection, and ETL pipeline testing. The platform is built for both technical and business users. It is quick to deploy, easy to navigate, and includes prebuilt validation templates to speed up adoption. Data engineers, analysts, and stewards can create and manage validation logic, monitor data trends, and generate insights that improve trust in data assets. SelectZero is trusted by major enterprises in banking, retail, telecommunications, and the public sector across the Nordics and Baltics. Our development is customer-driven, with features shaped by real-world needs and use cases. To learn more, visit SelectZero.com or contact us at info@selectzero.com. **Average Rating:** 4.7/5.0 **Total Reviews:** 13 **How Do G2 Users Rate SelectZero?** - **Ease of Use:** 9.6/10 (Category avg: 8.6/10) **Who Is the Company Behind SelectZero?** - **Seller:** [SelectZero](https://www.g2.com/sellers/selectzero) - **Company Website:** https://selectzero.com/ - **Year Founded:** 2020 - **HQ Location:** Estonia - **LinkedIn® Page:** https://www.linkedin.com/company/selectzero/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services - **Company Size:** 62% Mid-Market, 23% Enterprise #### What Are SelectZero's Pros and Cons? **Pros:** - Customer Support (10 reviews) - Ease of Use (10 reviews) - Features (8 reviews) - User Experience (7 reviews) - Efficiency Improvement (6 reviews) **Cons:** - User Interface Issues (3 reviews) - Limitations (2 reviews) - Limited Customization (2 reviews) - Limited Functionality (2 reviews) - User Difficulty (2 reviews) ### What Do G2 Reviewers Say About SelectZero? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **fast and helpful customer support** of SelectZero, ensuring quick resolutions and a smooth experience. - Users find SelectZero very **easy to use** , with a user-friendly interface and fast, helpful customer support. - Users value the **intuitive features** of SelectZero, praising its user-friendliness and responsive customer support. - Users highlight the **intuitive and user-friendly design** of SelectZero, enabling effective use across entire organizations. - Users highlight the **efficiency improvement** from SelectZero, enhancing data governance and collaboration across teams seamlessly. **Cons:** - Users note the **user interface issues** of SelectZero, which can be unintuitive and in need of refinement. - Users note the **significant limitations** in notification options, restricting the information conveyed in alerts. - Users express a desire for **limited customization options** in test suite reports and business glossaries, hoping for improvements soon. - Users note the **limited functionality** of notification options, hoping for future improvements to enhance user experience. - Users note the **user difficulty** due to a less intuitive interface and a need for better instructions. #### What Are Recent G2 Reviews of SelectZero? **"[Data quality and governance go hand-in-hand so it makes sense to keep them in one product](https://www.g2.com/survey_responses/selectzero-review-12245451)"** **Rating:** 5.0/5.0 stars *— Andres V.* [Read full review](https://www.g2.com/survey_responses/selectzero-review-12245451) --- **"[Selectzero Makes Multi-System Data Quality Validation Easy](https://www.g2.com/survey_responses/selectzero-review-12859240)"** **Rating:** 4.5/5.0 stars *— Carl A.* [Read full review](https://www.g2.com/survey_responses/selectzero-review-12859240) --- ### 20. [Tree Schema Data Catalog](https://www.g2.com/products/tree-schema-data-catalog/reviews) Long Description Tree Schema democratizes access to metadata management for all companies, providing the essential capabilities required to effectively manage your data and enable your team to collaborate. Data lineage, automated data discovery, rich textual conversations and more are put to work to get your team's data catalog fully populated in minutes and to allow your team to collaborate effectively. Tree Schema offers the quickest integration with many clients automatically populating their catalog in 10 minutes after their account is created. All plans have access to a REST API & Python client that enables data lineage to be managed as code. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Tree Schema Data Catalog?** - **Seller:** [Tree Schema](https://www.g2.com/sellers/tree-schema) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/tree-schema/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Tree Schema Data Catalog? **"[Now metadata management is easy with Tree Schema Data Catalog](https://www.g2.com/survey_responses/tree-schema-data-catalog-review-7314404)"** **Rating:** 4.0/5.0 stars *— Amitoj W.* [Read full review](https://www.g2.com/survey_responses/tree-schema-data-catalog-review-7314404) --- **"[Low cost data catalog](https://www.g2.com/survey_responses/tree-schema-data-catalog-review-7303151)"** **Rating:** 5.0/5.0 stars *— dinesh k.* [Read full review](https://www.g2.com/survey_responses/tree-schema-data-catalog-review-7303151) --- ### 21. [Alex Solutions](https://www.g2.com/products/alex-solutions/reviews) Alex is a Metadata Management Platform designed to empower everyone to securely find, understand, protect, and ethically use the world’s data. Recognised by Gartner as a Leader in the Magic Quadrant for Metadata Management Solutions. Alex Solutions is an Australian-based start-up that is bringing innovation and disruptive ideas to the way organisations manage and leverage their information assets. **Average Rating:** 4.9/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Alex Solutions?** - **Ease of Use:** 10.0/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 6.7/10 (Category avg: 8.6/10) - **Metadata Management :** 6.7/10 (Category avg: 8.4/10) - **Data Lineage:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Alex Solutions?** - **Seller:** [Alex Solutions](https://www.g2.com/sellers/alex-solutions) - **Year Founded:** 2016 - **HQ Location:** Carlton, Victoria, Australia - **Twitter:** @alex_solutions_ (88 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/alex-solutions (108 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 40% Small-Business #### What Are Alex Solutions's Pros and Cons? **Pros:** - Data Governance (1 reviews) - Data Security (1 reviews) **Cons:** - Complex Setup (1 reviews) - Data Management (1 reviews) - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About Alex Solutions? *AI-generated summary from verified user reviews* **Pros:** - Users value the **robust data governance** and security measures provided by Alex Solutions, enhancing confidence in data management. - Users value the **strong data security** measures of Alex Solutions, ensuring protection and compliance for their sensitive information. **Cons:** - Users find the **complex initial setup** of Alex Solutions to be a significant hurdle in their experience. - Users note that **Alex Solutions might be complex for smaller businesses** , making it less suitable for limited budgets. - Users face challenges with **integration issues** , including complex initial setups and limited third-party integrations. #### What Are Recent G2 Reviews of Alex Solutions? **"[The best data catalog available in the market.](https://www.g2.com/survey_responses/alex-solutions-review-10734817)"** **Rating:** 4.5/5.0 stars *— Hardik S.* [Read full review](https://www.g2.com/survey_responses/alex-solutions-review-10734817) --- **"[Alex is a Metadata Management Platform designed to empower everyone to securely find.](https://www.g2.com/survey_responses/alex-solutions-review-9653387)"** **Rating:** 5.0/5.0 stars *— KULDEEP G.* [Read full review](https://www.g2.com/survey_responses/alex-solutions-review-9653387) --- ### 22. [Ataccama ONE](https://www.g2.com/products/ataccama-one/reviews) Ataccama ONE is a data trust platform that helps organizations improve data quality, monitor data reliability, govern enterprise data assets, and prepare trusted data for analytics and AI initiatives. Designed for complex cloud, on-premises, and hybrid environments, the platform is used by data governance teams, data quality managers, data engineers, analytics teams, and AI programs that require accurate, governed, and auditable data. The platform combines data quality, data observability, data catalog, data lineage, and reference data management in a unified solution. Organizations use Ataccama ONE to identify and resolve data issues, support regulatory compliance, improve confidence in reporting and AI outputs, and streamline enterprise data management operations. The platform also includes the ONE AI Agent, which helps automate tasks such as metadata enrichment, anomaly detection, rule recommendations, and documentation workflows. Ataccama ONE supports use cases including AI readiness, cloud migration, data modernization, regulatory compliance, and data product development. It is used across industries such as financial services, insurance, telecommunications, healthcare, manufacturing, and energy, where trusted data is critical for operational and strategic decision-making. Key capabilities include: - Data quality and observability tools for profiling, validating, monitoring, and improving data across systems and pipelines - Data catalog and lineage capabilities that help users discover, understand, and trace data assets and transformations - Reference data management for maintaining standardized business values across applications and business units - AI-assisted automation through the ONE AI Agent to support rule creation, anomaly remediation recommendations, and metadata management - Connectivity to cloud platforms, databases, data warehouses, BI tools, and AI ecosystems through built-in connectors and MCP server support **Average Rating:** 4.2/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Ataccama ONE?** - **Ease of Use:** 8.5/10 (Category avg: 8.6/10) **Who Is the Company Behind Ataccama ONE?** - **Seller:** [Ataccama](https://www.g2.com/sellers/ataccama) - **Company Website:** https://www.ataccama.com - **Year Founded:** 2007 - **HQ Location:** Toronto, Canada - **Twitter:** @ataccama (3,086 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ataccama (483 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Enterprise, 42% Small-Business #### What Are Ataccama ONE's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Customization (1 reviews) - Customization Options (1 reviews) - Ease of Use (1 reviews) - User Interface (1 reviews) **Cons:** - Complexity (1 reviews) - Difficult Learning (1 reviews) - Difficulty Learning (1 reviews) - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) ### What Do G2 Reviewers Say About Ataccama ONE? *AI-generated summary from verified user reviews* **Pros:** - Users value the **good customer support** offered by Ataccama ONE, enhancing their overall experience with the product. - Users appreciate the **customizable interface** of Ataccama ONE, enhancing their user experience and satisfaction. - Users value the **customizable interface** of Ataccama ONE, enhancing their overall experience and flexibility. - Users appreciate the **ease of use** of Ataccama ONE, highlighting its intuitive interface and responsive customer support. - Users appreciate the **easy-to-use and customizable interface** of Ataccama ONE, enhancing their overall experience. **Cons:** - Users find Ataccama ONE to be **complex** , requiring significant effort to learn and navigate effectively. - Users find Ataccama ONE's interface quite **difficult to learn** , highlighting the need for better training resources. - Users find Ataccama ONE's interface **difficult to learn** , indicating a need for better training resources. - Users find Ataccama ONE to have a **steep learning curve** , requiring significant time to become proficient with the software. - Users find Ataccama ONE to have a **steep learning curve** , which makes it complicated for new users to navigate. #### What Are Recent G2 Reviews of Ataccama ONE? **"[Powerful Data Quality Checks with Room for Improvement](https://www.g2.com/survey_responses/ataccama-one-review-12848802)"** **Rating:** 4.5/5.0 stars *— Siva M.* [Read full review](https://www.g2.com/survey_responses/ataccama-one-review-12848802) --- **"[Data Quality Tool for Business Users](https://www.g2.com/survey_responses/ataccama-one-review-10444033)"** **Rating:** 5.0/5.0 stars *— Karthika S.* [Read full review](https://www.g2.com/survey_responses/ataccama-one-review-10444033) --- ### 23. [BigID](https://www.g2.com/products/bigid/reviews) BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. By applying advanced machine learning and deep data insight, BigID transforms data discovery and data intelligence to address data privacy, data security, and data governance challenges across all types of data, at petabyte-scale, on-prem and in the cloud. Get actionable data intelligence with BigID: one platform, infinite possibility. **Average Rating:** 4.3/5.0 **Total Reviews:** 16 **How Do G2 Users Rate BigID?** - **Ease of Use:** 7.8/10 (Category avg: 8.6/10) **Who Is the Company Behind BigID?** - **Seller:** [BigID](https://www.g2.com/sellers/bigid) - **Year Founded:** 2016 - **HQ Location:** New York, New York - **Twitter:** @bigidsecure (2,763 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/bigid/ (646 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Computer Software - **Company Size:** 44% Small-Business, 38% Mid-Market #### What Are BigID's Pros and Cons? **Pros:** - Cookie Management (1 reviews) **Cons:** - Banner Issues (1 reviews) - Cookie Management (1 reviews) - Data Management Issues (1 reviews) - Expensive (1 reviews) - Limited Functionality (1 reviews) ### What Do G2 Reviewers Say About BigID? *AI-generated summary from verified user reviews* **Pros:** - Users find the **cookie management** in BigID effective, enhancing their compliance and user experience significantly. **Cons:** - Users report **banner issues** with BigID, citing account deletions and loss of access to the new platform. - Users express frustration over **BigID not honoring LTDs** , resulting in account deletions and inaccessible platforms. - Users report **data management issues** with BigID after account deletions hinder access to services and prior purchases. - Users express frustration over BigID's **expensive pricing** and poor support following the takeover of Illow. - Users are frustrated by **limited functionality** after BigID's takeover, resulting in lost access and account deletions. #### What Are Recent G2 Reviews of BigID? **"[BigID](https://www.g2.com/survey_responses/bigid-review-9867530)"** **Rating:** 4.5/5.0 stars *— Dolly B.* [Read full review](https://www.g2.com/survey_responses/bigid-review-9867530) --- **"[Say hello to Illow.io](https://www.g2.com/survey_responses/bigid-review-8233082)"** **Rating:** 5.0/5.0 stars *— Carla S.* [Read full review](https://www.g2.com/survey_responses/bigid-review-8233082) --- ### 24. [eQube® Analytics Suite](https://www.g2.com/products/eqube-analytics-suite/reviews) The eQube® Analytics Suite is an Analytics and Business Intelligence platform designed to empower end users with analytics capabilities. It processes streaming data, Big Data, and Data Lakes, providing a unified view across various data sources and core business systems (PLM, ERP, MRO, Supply Chain Asset Management, Logistics, ALM, etc.) to derive critical insights. The platform incorporates advanced analytics, including Machine Learning and Advanced Statistical techniques, along with Automated Data Discovery, to expedite data discovery, identify patterns, similarities, and enhance data quality. The eQube® Analytics Suite consists of 3 product offerings: eQube®-BI (Business Intelligence), eQube®-ADA (Augmented Data Analytics), and eQube®-DP (Data Profiler). **Average Rating:** 4.3/5.0 **Total Reviews:** 2 **How Do G2 Users Rate eQube® Analytics Suite?** - **Ease of Use:** 6.7/10 (Category avg: 8.6/10) - **Business and Data Glossary:** 8.3/10 (Category avg: 8.6/10) - **Metadata Management :** 6.7/10 (Category avg: 8.4/10) - **Data Lineage:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind eQube® Analytics Suite?** - **Seller:** [eQ Technologic](https://www.g2.com/sellers/eq-technologic) - **Year Founded:** 2000 - **HQ Location:** Costa Mesa, US - **Twitter:** @1eQTechnologic (58 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/eq-technologic (916 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of eQube® Analytics Suite? **"[Serves the role of powerful BI](https://www.g2.com/survey_responses/eqube-analytics-suite-review-8759299)"** **Rating:** 5.0/5.0 stars *— Abhishek P.* [Read full review](https://www.g2.com/survey_responses/eqube-analytics-suite-review-8759299) --- ### 25. [Global IDs Data Governance Platform](https://www.g2.com/products/global-ids-data-governance-platform/reviews) Global IDs is an innovative software company delivering purpose-built solutions for data-centric organizations. Global IDs is committed to helping organizations of any size solve business problems with core metadata management techniques in an automated and scalable approach. Our integrated platform delivers key capabilities that enable transparency, trust and traceability of your data assets. A highly automated approach to implementing a Data Governance methodology that drives cost optimization and revenue growth by uncovering hidden insights and opportunities. **Average Rating:** 4.2/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Global IDs Data Governance Platform?** - **Ease of Use:** 6.7/10 (Category avg: 8.6/10) **Who Is the Company Behind Global IDs Data Governance Platform?** - **Seller:** [Global IDs](https://www.g2.com/sellers/global-ids) - **Year Founded:** 2001 - **HQ Location:** Princeton, US - **Twitter:** @GlobalIDs (3,943 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/global-ids (90 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Global IDs Data Governance Platform? **"[Degital store data in system](https://www.g2.com/survey_responses/global-ids-data-governance-platform-review-7825968)"** **Rating:** 5.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/global-ids-data-governance-platform-review-7825968) --- **"[Transparency, Traceability, Trust along with Analytics for your enterprise data](https://www.g2.com/survey_responses/global-ids-data-governance-platform-review-9083309)"** **Rating:** 4.0/5.0 stars *— Sumeet J.* [Read full review](https://www.g2.com/survey_responses/global-ids-data-governance-platform-review-9083309) --- ## What Is Machine Learning Data Catalog Software? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to Machine Learning Data Catalog Software? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [Data Governance Tools](https://www.g2.com/categories/data-governance-tools) - [Sensitive Data Discovery Software](https://www.g2.com/categories/sensitive-data-discovery) - [Data Fabric Software](https://www.g2.com/categories/data-fabric) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Active Metadata Management Software](https://www.g2.com/categories/active-metadata-management) - [Data Observability Software](https://www.g2.com/categories/data-observability) --- ## How Do You Choose the Right Machine Learning Data Catalog Software? ### What You Should Know About Healthcare Claims Management Software ### What is a Machine Learning Data Catalog? Machine learning data catalog (MLDC) is an automated data catalog that carries out tasks like crawling metadata, cataloging, and classifying personally identifiable information (PII) data. Machine learning data catalogs organize the dataset inventory using metadata. Data catalogs help companies know where the data is stored, thus reducing the time taken to identify data and making it easily accessible for analytics. They are inventories of assets like tables, schema, files, and charts in organizations, aiding in solving a company's data discovery, quality, and governance challenges. ### What does MLDC Stand For? MLDC is an acronym for Machine Learning Data Catalog.  ### What are the Common Features of Machine Learning Data Catalogs? Machine learning data catalogs simplify the manual functions of a data catalog. A data catalog is an essential part of the data management strategy of any organization. Some of the features of machine learning data catalogs are: **Data ingestion and discovery:** Machine learning data catalogs must have prebuilt adapters to connect to different company systems like applications, databases, files, and external APIs. These adapters help in discovering metadata from systems. Metadata can be table names, attribute names, and constraints. The feature helps build native connectivity like integrations for data sources, business intelligence (BI) solutions, and data science tools. **Business glossary:** Although a good amount of data is stored in the repository, it is also essential for the users to understand what the stored data means. The glossary feature links this data to business terms giving it more meaning.  **Automated data labeling:** Data labeling is a prerequisite for machine learning algorithms. Automated data labeling is more accurate than manual since it eliminates human errors. Data labeling usually involves annotators identifying objects in images to build quality artificial intelligence (AI) training data. Automated labeling eliminates the challenges posed by the tedious annotation cycles. **Data lineage:** Data lineage is the process that helps the users know who, why, when, and where changes are made to the data. It is a part of metadata management. MLDCs automate the data lineage process. Data lineage helps determine when new or changed data require retraining machine learning models. MLDCs usually parse through query logs into data lakes and other data sources automatically to create a data lineage map. **Data quality monitoring and anomaly detection:** Data quality monitoring helps users understand if the data came from a trusted source. The machine learning data catalog also has a feature to identify sudden changes in data using machine learning algorithms. The users are immediately alerted to any changes or anomalies that are detected.  **Semantic search for data sets:** Machine learning data catalogs provide users with visual and intuitive searches like search engines. Almost every user in any organization is a data user, but not everyone can use SQL queries to use data. The semantic search feature makes it easier for all users to discover data sets. **Compliance capabilities:** This feature ensures that sensitive data is not exposed and that the user can trust the data. It further helps keep data governance policies in place and strengthen data management in the organization. Data stewards can identify low-quality data and restrict access to sensitive data, thus helping comply with regulations such as the General Data Protection Regulation (GDPR). **Data profiling:** Data profiling helps check the data from the data source and collects information about it. This process helps in knowing data quality issues much better, thus making the data management process more efficient. ### What are the Benefits of Machine Learning Data Catalogs? A machine learning data catalog provides several benefits to different types of users in the organization. These include: **Ease in data curation:** Data curation is a process of collecting, organizing, labeling, and cleaning data. Machine learning data catalogs validate metadata and organize insights into correct repositories using machine learning algorithms. **Ease of search:** Because of semantic search, it becomes easier for non-technical users to search and discover data for use since they do not have to use SQL queries every time to access data. **Ease in data collaboration:** Machine learning data catalogs help the users collaborate, use, and share data sets because machine learning data catalogs ease finding and storing siloed data. ### Who Uses Machine Learning Data Catalogs? Machine learning data catalogs centralize metadata for various data assets. By organizing the metadata, MLDCs help organizations to govern data access. **Data analysts:** Data analysts use MLDC to discover, classify, and manipulate data for their analytics processes. They can also discover AI or machine learning models, understand how they work, and import them into their BI tools. Data catalogs help data analysts make companies into self-service organizations. Self-service analytics is important for any organization that wants to be driven by insights. Machine learning data catalogs help the users know the means to find, understand, and trust data. **Marketers:** Marketing teams use the machine learning data catalog more commercially. They obtain insights for making better decisions using data catalogs. **Data scientists:** Data scientists usually publish their models for reuse. Data scientists always look for one platform that centralizes data for different projects.  ### Challenges with Machine Learning Data Catalogs Although machine learning data catalogs help solve major challenges in traditional data catalogs like data discovery and data lineage, MLDCs also come with challenges.   **Scalability:** It is tricky for all MLDCs to support a huge metadata volume. Sometimes, the data catalogs break down due to performance issues when overloaded with enormous amounts of metadata. Initially, data used to be stored in the company's mainframe data center. However, due to today's big data, machine learning data catalogs must keep track of data in both cloud and data lakes. **Fragmentation in evaluating a product:** If a data catalog is too bulky, it causes fragmentation in the user's journey of evaluating a product. Too much data makes users use too many tools, thus breaking a seamless experience into fragments. ### How to Buy Machine Learning Data Catalogs #### Requirements Gathering (RFI/RFP) for Machine Learning Data Catalogs The machine learning data catalog offers many features to help users identify usable data. A buyer can choose the right MLDC software depending on the organization's needs. RFP/RFIs help the organization look for pricing, product features, and guidelines. #### Compare Machine Learning Data Catalog Products **Create a long list** The first step is to look for all the possible players in the space. This gives an advantage of evaluating the vendors for the price, product features, and customer service.  **Create a short list** After evaluating the potential vendors, the company can narrow the list to those who check all their boxes. **Conduct demos** Demos help in understanding the product as a whole. A team of IT professionals and data scientists should join these demos to understand the product's functionality, whereas the marketing team can join in to analyze the business use of the software in the projects. #### Selection of Machine Learning Data Catalogs **Choose a selection team** A team of marketing professionals with data scientists and IT professionals can communicate any queries related to the MLDC product with the vendors. A data scientist would be more interested in knowing the technical features of the software. A marketing manager would be curious to know how the marketing team could use MLDC for any project. An IT professional would want to understand the software installation procedure. **Negotiation** Once the vendor quotes the price, the negotiations begin. The price is fixed based on the cost of other similar products available in the market and the extent to which the product can solve the challenges. **Final decision** The final decision is based on agreements between the vendor and the buyer.