# Best Active Metadata Management Software *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Atlan is the top-ranked active metadata management platform in 2026, rated 4.5 out of 5 on G2 based on 100+ verified reviews. For enterprise-wide governance needs, Collibra delivers centralized data asset management, while Alation stands out for behavioral metadata-driven discovery that connects technical and business users. 1. Atlan — 4.5/5 (100+ reviews): Cross-stack lineage with governed data discovery 2. Collibra — 4.2/5 (100+ reviews): Enterprise-wide active metadata cataloging with governance lineage 3. Alation — 4.4/5 (90+ reviews): Behavioral metadata-driven data discovery and governance 4. ServiceNow Workflow Data Fabric — 4.3/5 (100+ reviews): Zero-copy metadata governance inside ServiceNow workflows 5. Cloudera — 4.1/5 (100+ reviews): Hadoop-native big data pipeline governance *Updated June 2026. Based on 2026 G2 verified review data across 5 products.* Active metadata management is a new form of data management where active metadata is used to provide clear, intelligible business insights to drive smart business decisions. Active metadata is the key factor that will allow businesses to improve the efficiency of data-driven decisions and initiatives. Metadata is data that describes data. Traditional data catalogs contain passive metadata—data not proactively used by the user unless initiated and includes models and schemas. This is where active metadata comes in. Active metadata enriches passive metadata to improve data cataloging and data management. It manages the metadata for operational purposes. Traditional metadata management platforms focused on organizing and storing metadata, including an organization's data. Active metadata management brings in the "analysis" component to this data, helping data users analyze metadata and derive valuable and rational insights via automation. In simple terms, metadata management connects technical, business, and operational data, and when AI and machine learning are integrated into this relationship, active metadata management is born. Active metadata management platforms also have a component of machine learning to ensure resource allocation, capacity monitoring, etc. It also supports real-time collaboration. Active metadata management software works very similarly to [machine learning data catalogs](https://www.g2.com/categories/machine-learning-data-catalog). The major difference, however, is that active metadata management encompasses the entire data ecosystem and is the successor to a machine learning data catalog. Active metadata management tools do not focus only on crawling, cataloging, and scrolling data with the help of machine learning but also set up a data management framework for all users in an organization. It is a building block of the DataOps architecture. To qualify for inclusion in the Active Metadata Management category, a product must: - Manage a company’s active metadata and provide intelligent, actionable insights - Build a knowledge graph of metadata management - Support integration with API connectors for collaboration - Enable personalization of recommendations for data analysis and adjacent management tools ## Top Active Metadata Management Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Atlan](https://www.g2.com/products/atlan/reviews) | 4.5/5.0 (131 reviews) | Cross-stack lineage with governed data discovery | "[Helpful UI, Flexible Data Model, and Great API](https://www.g2.com/survey_responses/atlan-review-12518328)" | | 2 | [Collibra](https://www.g2.com/products/collibra/reviews) | 4.2/5.0 (99 reviews) | Enterprise-wide active metadata cataloging with governance lineage | "[Collibra Data Quality Module](https://www.g2.com/survey_responses/collibra-review-7563210)" | | 3 | [Alation](https://www.g2.com/products/alation/reviews) | 4.4/5.0 (89 reviews) | Behavioral metadata-driven data discovery and governance | "[Exceptional Tool and Team, Expanding Our Data Governance](https://www.g2.com/survey_responses/alation-review-12007948)" | | 4 | [erwin Data Modeler](https://www.g2.com/products/quest-software-erwin-data-modeler/reviews) | 4.2/5.0 (95 reviews) | — | "[A Serious, Professional Data Modeling Tool That Keeps Docs and Design Aligned](https://www.g2.com/survey_responses/erwin-data-modeler-review-12949097)" | | 5 | [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) | 4.3/5.0 (138 reviews) | Zero-copy metadata governance inside ServiceNow workflows | "[Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)" | | 6 | [Cloudera](https://www.g2.com/products/cloudera/reviews) | 4.1/5.0 (131 reviews) | Hadoop-native big data pipeline governance | "[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)" | | 7 | [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) | 4.8/5.0 (63 reviews) | Business-IT data lineage with automated metadata harvesting | "[A comprehensive and accessible tool to strengthen governance and trust in data](https://www.g2.com/survey_responses/datagalaxy-review-12911659)" | | 8 | [Nexla](https://www.g2.com/products/nexla/reviews) | 4.6/5.0 (62 reviews) | Automated schema detection with no-code pipelines | "[Smooth Data Integration with Impressive Speed and UI](https://www.g2.com/survey_responses/nexla-review-12630612)" | | 9 | [Select Star](https://www.g2.com/products/select-star/reviews) | 4.5/5.0 (55 reviews) | Column-level lineage with cross-stack data discovery | "[Intuitive Data Discovery Made Effortless](https://www.g2.com/survey_responses/select-star-review-11919348)" | | 10 | [Informatica Enterprise Data Catalog](https://www.g2.com/products/informatica-enterprise-data-catalog/reviews) | 4.3/5.0 (19 reviews) | Informatica-native metadata discovery and lineage | "[Absolute product for cloud data integration](https://www.g2.com/survey_responses/informatica-enterprise-data-catalog-review-7703992)" | ## How Many Active Metadata Management Software Products Does G2 Track? **Total Products under this Category:** 52 ### Category Stats (Jul 2026) - **Average Rating**: 4.49/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: erwin Data Modeler (+1.07%) - Among all products in this category, erwin Data Modeler recorded the largest rating increase compared to last month *Last updated: July 03, 2026* ## How Does G2 Rank Active Metadata Management Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 1,400+ Authentic Reviews - 52+ 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 Active Metadata Management Software Is Best for Your Use Case? - **Leader:** [Atlan](https://www.g2.com/products/atlan/reviews) - **Highest Performer:** [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) - **Easiest to Use:** [DataGalaxy](https://www.g2.com/products/datagalaxy/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=1003209&secure%5Bchosen_at%5D=2026-07-03T08%3A53%3A11Z&secure%5Bdisplayable_resource_id%5D=1003209&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1003209&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1886&secure%5Bresource_id%5D=1003209&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Factive-metadata-management&secure%5Btoken%5D=68f1e434f2e7d77ea55d03a01904aee680d3926fba39ad0c306744c996e502c8&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 Active Metadata Management Software Products in 2026? ### 1. [Atlan](https://www.g2.com/products/atlan/reviews) Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve. **Average Rating:** 4.5/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Atlan?** - **Ease of Use:** 8.9/10 (Category avg: 8.7/10) - **Metadata Management:** 9.2/10 (Category avg: 9.0/10) - **Data Discovery:** 8.9/10 (Category avg: 8.8/10) - **Automation Features:** 8.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Atlan?** - **Seller:** [Atlan](https://www.g2.com/sellers/atlan) - **Company Website:** https://www.atlan.com - **Year Founded:** 2019 - **HQ Location:** New York, US - **Twitter:** @AtlanHQ (9,804 Twitter followers) - **LinkedIn® Page:** https://in.linkedin.com/company/atlan-hq (572 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 52% Mid-Market, 41% Enterprise #### What Are Atlan's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Features (6 reviews) - Collaboration (5 reviews) - Data Cataloging (5 reviews) - Easy Setup (4 reviews) **Cons:** - Integration Issues (4 reviews) - Dependency Issues (3 reviews) - Limited Customization (3 reviews) - Technical Issues (3 reviews) - User Interface Issues (3 reviews) ### What Do G2 Reviewers Say About Atlan? *AI-generated summary from verified user reviews* **Pros:** - Users praise Atlan for its **ease of use** , making data collaboration seamless and accessible for everyone. - Users value Atlan’s **great data discovery features** and smooth collaboration, significantly enhancing their data management experience. - Users value Atlan's **seamless data collaboration** , making it easy to share, understand, and trust their data. - Users appreciate the **exceptional data cataloging** features of Atlan, enhancing data discovery and collaboration effortlessly. - Users appreciate the **easy setup** of Atlan, enabling a seamless integration and efficient collaboration on data. **Cons:** - Users face **integration issues** with Teams and other databases, hindering streamlined workflows and requests. - Users experience **dependency issues** with Atlan, limiting its value due to vulnerabilities and lack of integrations. - Users express concerns over **limited customization** options in Atlan, hindering adaptation to unique team workflows. - Users experience **slow technical support** and occasional inaccuracies in issue resolution, affecting overall satisfaction with Atlan. - Users face **user interface issues** with limited customization, technical navigation, and challenges in usability for business users. #### What Are Recent G2 Reviews of Atlan? **"[Helpful UI, Flexible Data Model, and Great API](https://www.g2.com/survey_responses/atlan-review-12518328)"** **Rating:** 4.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/atlan-review-12518328) --- **"[Outstanding AI Features, Easy UI, and a Truly Responsive Atlan Team](https://www.g2.com/survey_responses/atlan-review-12721177)"** **Rating:** 4.5/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/atlan-review-12721177) --- ### 2. [Collibra](https://www.g2.com/products/collibra/reviews) Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases. With Collibra, you can accelerate all your data and AI use cases, safely and with well–understood data. That’s Data Confidence. **Average Rating:** 4.2/5.0 **Total Reviews:** 99 **How Do G2 Users Rate Collibra?** - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) - **Metadata Management:** 8.5/10 (Category avg: 9.0/10) - **Data Discovery:** 8.3/10 (Category avg: 8.8/10) - **Automation Features:** 7.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Collibra?** - **Seller:** [Collibra](https://www.g2.com/sellers/collibra) - **Company Website:** https://www.collibra.com - **Year Founded:** 2008 - **HQ Location:** New York, New York - **Twitter:** @collibra (5,756 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/288365/ (1,082 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Banking - **Company Size:** 72% Enterprise, 19% Mid-Market #### What Are Collibra's Pros and Cons? **Pros:** - Features (10 reviews) - Data Management (9 reviews) - Collaboration (7 reviews) - Ease of Use (7 reviews) - Integrations (7 reviews) **Cons:** - Complexity Issues (7 reviews) - Limited Functionality (6 reviews) - Complexity (5 reviews) - Integration Issues (5 reviews) - User Interface Issues (5 reviews) ### What Do G2 Reviewers Say About Collibra? *AI-generated summary from verified user reviews* **Pros:** - Users value the **unified data intelligence** of Collibra, effectively aligning Business and IT on a single platform. - Users value the **unified data intelligence platform** of Collibra, enhancing alignment between Business and IT teams efficiently. - Users value the **collaboration features** of Collibra, which unify data governance and streamline stakeholder communication. - Users find Collibra to be **intuitive and easy to configure** , enhancing their data management experience significantly. - Users value the **seamless integrations** with various tools, enhancing the overall data management ecosystem. **Cons:** - Users often face **complexity issues** with Collibra, leading to confusion and inefficiencies in their processes. - Users face **limited functionality** in Collibra due to challenging verification and unintuitive navigation, complicating their experience. - Users find the **complexity** of Collibra burdensome, hindering efficient onboarding and creating cumbersome workflows and unclear roles. - Users face **integration issues** with Collibra, leading to inefficient workflows and frustrating manual processes. - Users report **user interface issues** in Collibra, noting navigation challenges and cumbersome complexity that hinder effectiveness. #### What Are Recent G2 Reviews of Collibra? **"[Collibra Data Quality Module](https://www.g2.com/survey_responses/collibra-review-7563210)"** **Rating:** 5.0/5.0 stars *— Frank L.* [Read full review](https://www.g2.com/survey_responses/collibra-review-7563210) --- **"[Powerful Data Governance and Quality Platform](https://www.g2.com/survey_responses/collibra-review-12128662)"** **Rating:** 5.0/5.0 stars *— Katerina V.* [Read full review](https://www.g2.com/survey_responses/collibra-review-12128662) --- #### What Are G2 Users Discussing About Collibra? - [What is Collibra data governance tool?](https://www.g2.com/discussions/what-is-collibra-data-governance-tool) - [Is Collibra a good tool?](https://www.g2.com/discussions/is-collibra-a-good-tool) - [What can Collibra do?](https://www.g2.com/discussions/what-can-collibra-do) - [What are the features of Collibra?](https://www.g2.com/discussions/what-are-the-features-of-collibra) ### 3. [Alation](https://www.g2.com/products/alation/reviews) Alation is the data intelligence company. Founded in 2012 and headquartered in Redwood City, California—with global offices in London and Sydney—Alation serves more than 650 enterprise customers across 34 industries. The company pioneered the modern data catalog by combining machine learning with human insight to connect people with questions to people with answers. Today, more than 40% of the Fortune 100 rely on Alation to power data and AI initiatives at scale. Alation’s platform unifies cataloging, governance, and data quality with new AI-native capabilities built on one essential foundation: metadata. Metadata provides the context AI models lack, delivering outputs that are accurate, explainable, and trustworthy. With capabilities like Agent Studio, CDE Manager, and Data Quality Agent, organizations can build agents that understand their unique definitions, rules, and quality standards. Embedded readiness checks and continuous evaluation ensure every AI workflow is grounded in the right metadata context, making enterprise AI reliable enough for real production use. **Average Rating:** 4.4/5.0 **Total Reviews:** 89 **How Do G2 Users Rate Alation?** - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) - **Metadata Management:** 8.3/10 (Category avg: 9.0/10) - **Data Discovery:** 8.3/10 (Category avg: 8.8/10) - **Automation Features:** 7.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Alation?** - **Seller:** [Alation](https://www.g2.com/sellers/alation) - **Company Website:** https://alation.com - **Year Founded:** 2012 - **HQ Location:** Redwood City, CA - **Twitter:** @Alation (3,567 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3231829/ (621 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 57% Enterprise, 27% Mid-Market #### What Are Alation's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Data Discovery (10 reviews) - User Experience (10 reviews) - Data Cataloging (9 reviews) - User Interface (9 reviews) **Cons:** - Slow Performance (8 reviews) - Missing Features (6 reviews) - Limited Functionality (4 reviews) - Lineage Limitations (4 reviews) - User Interface Issues (4 reviews) ### What Do G2 Reviewers Say About Alation? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** of Alation, simplifying navigation and enhancing productivity in documentation tasks. - Users value the **user-friendly data discovery** features of Alation, enabling efficient data access and understanding across sources. - Users value the **user-friendly interface** of Alation, which simplifies navigation and enhances productivity across documentation efforts. - Users highlight Alation's **user-friendly interface and governance workflows** that enhance data discovery and collaboration effectively. - Users value Alation's **intuitive user interface** that simplifies navigation and enhances productivity in data management. **Cons:** - Users report **slow performance** with Alation, experiencing delays in search results and metadata freshness. - Users note several **missing features** , including data quality tools and enhanced AI capabilities for better experience. - Users note **limited functionality** in Alation, especially regarding missing features and rigid customization options. - Users face **significant lineage limitations** in Alation, with frustrating bugs and inconsistent support hindering effectiveness. - Users find the **user interface issues** in Alation hinder usability and suggest improvements for better navigation and performance. #### What Are Recent G2 Reviews of Alation? **"[Exceptional Tool and Team, Expanding Our Data Governance](https://www.g2.com/survey_responses/alation-review-12007948)"** **Rating:** 5.0/5.0 stars *— Eric N.* [Read full review](https://www.g2.com/survey_responses/alation-review-12007948) --- **"[A Solid Product With Areas for Refinement](https://www.g2.com/survey_responses/alation-review-11980120)"** **Rating:** 5.0/5.0 stars *— Melissa B.* [Read full review](https://www.g2.com/survey_responses/alation-review-11980120) --- #### What Are G2 Users Discussing About Alation? - [Is Alation a database?](https://www.g2.com/discussions/is-alation-a-database) - [Which three are capabilities of Oracle Cloud Infrastructure data catalog service?](https://www.g2.com/discussions/which-three-are-capabilities-of-oracle-cloud-infrastructure-data-catalog-service) - 1 comment - [Is Alation good?](https://www.g2.com/discussions/is-alation-good) - [What does Alation software do?](https://www.g2.com/discussions/what-does-alation-software-do) ### 4. [erwin Data Modeler](https://www.g2.com/products/quest-software-erwin-data-modeler/reviews) Part of the Quest erwin Data Management Platform, delivering industry-leading enterprise data modeling. erwin Data Modeler provides the blueprints for trusted data. Integrated with erwin Data Intelligence, it connects models to governed metadata and business context - ensuring that what’s delivered in production matches the design, so data products are accurate, governed, and AI-ready. **Average Rating:** 4.2/5.0 **Total Reviews:** 95 **How Do G2 Users Rate erwin Data Modeler?** - **Ease of Use:** 8.4/10 (Category avg: 8.7/10) - **Metadata Management:** 10.0/10 (Category avg: 9.0/10) - **Data Discovery:** 9.7/10 (Category avg: 8.8/10) - **Automation Features:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind erwin Data Modeler?** - **Seller:** [Quest Software](https://www.g2.com/sellers/quest-software) - **Company Website:** https://www.quest.com - **Year Founded:** 1987 - **HQ Location:** Austin, TX - **Twitter:** @Quest (17,109 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2880/ (3,569 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 40% Small-Business, 36% Mid-Market #### What Are erwin Data Modeler's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Collaboration (2 reviews) - Data Discovery (1 reviews) - Data Governance (1 reviews) - Data Management (1 reviews) **Cons:** - Expensive (2 reviews) - Complexity (1 reviews) - Difficult Interface (1 reviews) - Limited Customization (1 reviews) - Outdated Design (1 reviews) ### What Do G2 Reviewers Say About erwin Data Modeler? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of erwin Data Modeler, simplifying complex data visualization and collaboration efforts. - Users value the **ease of collaboration** in erwin Data Modeler, enhancing alignment between technical and business teams. - Users appreciate the **clarity and control** of erwin Data Modeler in designing and visualizing complex database structures. - Users value the **ease of use for data governance** in erwin Data Modeler, enhancing collaboration and clarity between teams. - Users value the **data management capabilities** of erwin Data Modeler for its robust support of relational and file-based data. **Cons:** - Users feel the **licensing cost is high** , leading many to explore alternative data modeling tools. - Users find the **complexity** of erwin Data Modeler challenging, especially for newcomers and when handling large models. - Users find the **difficult interface** of erwin Data Modeler challenging, particularly for newcomers to data modeling concepts. - Users feel the **limited customization options** hinder their ability to adapt the tool to their specific needs. - Users find the **interface outdated** , making it difficult for new users to adapt compared to modern tools. #### What Are Recent G2 Reviews of erwin Data Modeler? **"[erwin Data Modeler Makes Complex Database Designs Easy to Visualize and Manage](https://www.g2.com/survey_responses/erwin-data-modeler-review-13059193)"** **Rating:** 4.5/5.0 stars *— Prashant S.* [Read full review](https://www.g2.com/survey_responses/erwin-data-modeler-review-13059193) --- **"[A Serious, Professional Data Modeling Tool That Keeps Docs and Design Aligned](https://www.g2.com/survey_responses/erwin-data-modeler-review-12949097)"** **Rating:** 4.5/5.0 stars *— Dmitry A.* [Read full review](https://www.g2.com/survey_responses/erwin-data-modeler-review-12949097) --- #### What Are G2 Users Discussing About erwin Data Modeler? - [How much does Erwin Data Modeler cost?](https://www.g2.com/discussions/how-much-does-erwin-data-modeler-cost) - [What software is used for data Modelling?](https://www.g2.com/discussions/what-software-is-used-for-data-modelling) - [What does a data modeler program do?](https://www.g2.com/discussions/what-does-a-data-modeler-program-do) - [What is Erwin Data Modeler used for?](https://www.g2.com/discussions/what-is-erwin-data-modeler-used-for) ### 5. [ServiceNow Workflow Data Fabric](https://www.g2.com/products/servicenow-workflow-data-fabric/reviews) Workflow Data Fabric is the AI‑ready data foundation of the ServiceNow AI Platform. It connects to any data—structured, unstructured, and streaming—contextualizes it with business meaning and governance, and controls it with lineage and policies so employees and AI agents can confidently act on real‑time information to prevent disruptions, resolve requests faster, and optimize operations—all on one platform. How Workflow Data Fabric turns data into instant action Connect Unify data from systems like Salesforce, SAP, Workday, data lakes, and event streams in real time without duplication or fragile point‑to‑point integrations. With Zero Copy Connectors, Stream Connect, External Content Connectors, and Integration Hub, WDF simplifies architecture and cuts integration cost and time. Contextualize Give data business meaning and make it trustworthy with an active Data Catalog, embedded governance, and lineage. Use Knowledge Graph to map relationships (e.g., customers, assets, orders) so AI agents and workflows understand context and make accurate decisions in the flow of work. Control Apply policies, permissions, and compliance guards across connected sources so the right people and AI agents access the right data, at the right time, with full auditability and traceability—no more shadow copies or opaque pipelines. **Average Rating:** 4.3/5.0 **Total Reviews:** 138 **How Do G2 Users Rate ServiceNow Workflow Data Fabric?** - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) - **Metadata Management:** 6.0/10 (Category avg: 9.0/10) - **Data Discovery:** 5.7/10 (Category avg: 8.8/10) - **Automation Features:** 4.7/10 (Category avg: 8.5/10) **Who Is the Company Behind ServiceNow Workflow Data Fabric?** - **Seller:** [ServiceNow](https://www.g2.com/sellers/servicenow) - **Company Website:** https://www.servicenow.com/ - **Year Founded:** 2004 - **HQ Location:** Santa Clara, CA - **Twitter:** @servicenow (55,548 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/29352/ (35,081 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Enterprise, 27% Mid-Market #### What Are ServiceNow Workflow Data Fabric's Pros and Cons? **Pros:** - Ease of Use (35 reviews) - Integrations (32 reviews) - Automation (30 reviews) - Efficiency Improvement (26 reviews) - Data Management (25 reviews) **Cons:** - Complex Setup (23 reviews) - Difficult Setup (17 reviews) - Expensive (14 reviews) - Slow Performance (14 reviews) - Complexity (13 reviews) ### What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of ServiceNow Workflow Data Fabric, enhancing workflow management and automation efficiency. - Users appreciate the **sophisticated integrations** of ServiceNow Workflow Data Fabric, which seamlessly connect various apps and workflows. - Users praise the **low-code automation** of ServiceNow Workflow Data Fabric for seamless integration and efficiency in workflow management. - Users value the **efficiency improvement** from ServiceNow Workflow Data Fabric, streamlining workflows and enhancing teamwork visibility. - Users value the **seamless data integration** of ServiceNow Workflow Data Fabric, enhancing efficiency and decision-making across workflows. **Cons:** - Users experience a **complex setup** with ServiceNow Workflow Data Fabric, making initial configuration and learning difficult for smaller organizations. - Users find the **difficult setup** of ServiceNow Workflow Data Fabric to be time-consuming and challenging, especially for smaller organizations. - Users find the **pricing quite expensive** , making it difficult for smaller teams to justify the costs. - Users experience **slow performance** with large datasets in ServiceNow Workflow Data Fabric, leading to latency and sluggish behavior. - Users find the **complexity in learning and managing data** difficult, especially without prior integration experience. #### What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric? **"[Zero-Copy, Real-Time Intelligence with ServiceNow Workflow Data Fabric](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653)"** **Rating:** 4.5/5.0 stars *— Younesse H.* [Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12543653) --- **"[Keeps ServiceNow Workflows in Sync with Current, Unified Data](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512)"** **Rating:** 4.5/5.0 stars *— Youssef N.* [Read full review](https://www.g2.com/survey_responses/servicenow-workflow-data-fabric-review-12541512) --- ### 6. [Cloudera](https://www.g2.com/products/cloudera/reviews) 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. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Cloudera?** - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Cloudera?** - **Seller:** [Cloudera](https://www.g2.com/sellers/cloudera) - **Company Website:** https://www.cloudera.com - **Year Founded:** 2008 - **HQ Location:** Santa Clara, CA - **Twitter:** @cloudera (106,442 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/229433/ (3,446 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Enterprise, 32% Small-Business #### What Are Cloudera's Pros and Cons? **Pros:** - Ease of Use (22 reviews) - Scalability (17 reviews) - Security (9 reviews) - Data Management (8 reviews) - Features (8 reviews) **Cons:** - Expensive (16 reviews) - Complexity (7 reviews) - Difficult Learning (5 reviews) - Poor Documentation (4 reviews) - Access Issues (3 reviews) ### What Do G2 Reviewers Say About Cloudera? *AI-generated summary from verified user reviews* **Pros:** - Users value the **brilliant and easy-to-use interface** of Cloudera, enhancing their experience in managing big data. - Users value the **easy scalability** of Cloudera, which effectively handles large volumes of data management. - Users praise Cloudera for its **robust security features** , ensuring reliable and safe data management across platforms. - Users value the **comprehensive suite of tools** offered by Cloudera for efficient data management and analytics. - Users value the **scalability and ease of use** in Cloudera, enhancing efficiency in data handling and administration. **Cons:** - Users find Cloudera to be **expensive** to run, raising concerns about its cost-effectiveness and maintenance requirements. - Users find Cloudera's **complexity** challenging, particularly for SQL queries and customization, impacting usability for beginners. - Users note the **difficult learning curve** with Cloudera, making it challenging for beginners to navigate effectively. - Users find **poor documentation** makes navigating Cloudera's features and configurations challenging, hindering their overall experience. - Users face **access issues** with Cloudera, including unauthorized errors and limited documentation, hindering overall usage. #### What Are Recent G2 Reviews of Cloudera? **"[Reliable Platform for Managing Large-Scale Data Pipelines](https://www.g2.com/survey_responses/cloudera-review-11455117)"** **Rating:** 4.5/5.0 stars *— Paritosh C.* [Read full review](https://www.g2.com/survey_responses/cloudera-review-11455117) --- **"[Easy to Use, Reliable, and Great for Team Collaboration](https://www.g2.com/survey_responses/cloudera-review-12695378)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/cloudera-review-12695378) --- #### What Are G2 Users Discussing About Cloudera? - [What is Cloudera used for?](https://www.g2.com/discussions/what-is-cloudera-used-for) - 1 comment - [What is Hortonworks Data Platform used for?](https://www.g2.com/discussions/what-is-hortonworks-data-platform-used-for) - [What is Cloudera Data Flow used for?](https://www.g2.com/discussions/what-is-cloudera-data-flow-used-for) - [What is Cloudera Navigator used for?](https://www.g2.com/discussions/what-is-cloudera-navigator-used-for) - [What is Cloudera Data Engineering used for?](https://www.g2.com/discussions/what-is-cloudera-data-engineering-used-for) ### 7. [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: 8.7/10) - **Metadata Management:** 9.5/10 (Category avg: 9.0/10) - **Data Discovery:** 8.0/10 (Category avg: 8.8/10) - **Automation Features:** 7.5/10 (Category avg: 8.5/10) **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 find DataGalaxy to be **easy to use** , simplifying integration and customization for both technical and business profiles. - Users appreciate the **collaboration features** of DataGalaxy, enabling seamless teamwork and data sharing across teams. - Users value the **easy integration** of DataGalaxy with data tools, enhancing their overall data management experience. - Users praise the **user-friendly interface** of DataGalaxy, facilitating easy navigation and collaboration for data analysis. - Users value the **accessibility** of DataGalaxy, enabling all employees with a business email to utilize the tool effectively. **Cons:** - Users find the **user interface not intuitive** and suggest several improvements for better usability and consistency. - Users note the **limited capabilities** of DataGalaxy, suggesting enhancements for improved usability and API accessibility. - Users find the **interface not intuitive** and struggle with connectors for importing metadata effectively. - Users often face **connector issues** when trying to import metadata, making the process challenging and frustrating. - Users find the **difficult interface** of DataGalaxy challenging and lacking consistency in its functions. #### What Are Recent G2 Reviews of DataGalaxy? **"[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) --- **"[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) --- ### 8. [Nexla](https://www.g2.com/products/nexla/reviews) Nexla is an enterprise-grade, AI-powered data integration platform designed to help organizations unlock data from any source and transform it into production-ready data products for AI and agents. With support for 700+ pre-built connectors and multiple integration styles, including ELT, ETL, streaming, APIs, and agentic RAG, the platform enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries, ​​showcasing its ability to handle large volumes of data while maintaining performance and reliability. Innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp rely on Nexla to keep mission-critical data flowing seamlessly across their enterprises. Key features of Nexla include flexible deployment across cloud, hybrid, and on-premises environments, ensuring compliance with enterprise-grade security standards such as SOC 2 Type II, GDPR, CCPA, and HIPAA. Nexla delivers 10x faster implementation than traditional alternatives, turning data challenges and variety into competitive advantages. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team with next-gen data integration: ✅ Eliminate costly replications & reduce storage bills ✅ Increase engineering productivity & capacity for innovation ✅ Empower users with Pro/Low/No-code collaboration ✅ Cut out maintenance with data validation, quality monitoring, & alerts ✅ Build production-ready custom GenAI applications Go beyond one traditional integration pattern, and invest in data architecture that supports: ✅ Any integration pattern (ELT, ETL, API / API proxy, & RAG - Retrieval Augmented Generation) ✅ Bi-directional connectors out of the box & on demand ✅ Any processing speed (streaming, real-time, batch) ✅ Unstructured, structured, or semi-structured data ✅ Complete data lineage search & tagging for governance ✅ Metadata-driven architecture for agility & scale Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on: ✅ Compute: AWS, Azure, Google Cloud, On-Premise ✅ Storage: S3, Redshift, BigQuery, Snowflake, Oracle, Databricks, Kafka, Redis, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, Marketo, Hubspot, Amazon Seller Central, Google Ads, API, Salesforce ✅ Catalogs: Alation, Collibra, data.world ✅ Webhooks, emails, FTP & APIs ✅ Vector database & LLM: Pinecone, GPT, Falcon, LLaMDa And many more Differentiators & Awards 🏆 2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2024 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2023 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 2022 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools **Average Rating:** 4.6/5.0 **Total Reviews:** 62 **How Do G2 Users Rate Nexla?** - **Ease of Use:** 8.7/10 (Category avg: 8.7/10) - **Metadata Management:** 8.8/10 (Category avg: 9.0/10) - **Data Discovery:** 9.2/10 (Category avg: 8.8/10) - **Automation Features:** 9.6/10 (Category avg: 8.5/10) **Who Is the Company Behind Nexla?** - **Seller:** [Nexla](https://www.g2.com/sellers/nexla) - **Company Website:** https://www.nexla.com/ - **Year Founded:** 2016 - **HQ Location:** San Mateo, California - **Twitter:** @NexlaInc (944 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/nexla/ (67 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Insurance - **Company Size:** 41% Mid-Market, 33% Small-Business #### What Are Nexla's Pros and Cons? **Pros:** - Ease of Use (21 reviews) - Automation (14 reviews) - Data Management (14 reviews) - Integrations (13 reviews) - Data Integration (10 reviews) **Cons:** - Learning Difficulty (7 reviews) - Slow Performance (7 reviews) - Difficult Learning (6 reviews) - Learning Curve (6 reviews) - Poor Documentation (6 reviews) ### What Do G2 Reviewers Say About Nexla? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Nexla, enabling seamless data manipulation without the need for coding. - Users value the **automation of data cleaning and pipeline management** in Nexla, significantly reducing manual workload and errors. - Users appreciate the **user-friendly interface** of Nexla, making data manipulation and integration seamless and efficient. - Users appreciate the **seamless integrations** of Nexla, which simplify complex data management without requiring coding skills. - Users love the **easy data integration** features of Nexla, simplifying complex data interactions without requiring coding skills. **Cons:** - Users find the **learning difficulty** high due to the confusing setup and advanced features that require technical skills. - Users experience **slow performance** in UI and search, which impacts the efficiency of their workflows. - Users find the **difficult learning curve** for Nexla challenging, especially during initial setup and configuration. - Users find the **learning curve steep** , particularly in setup and feature mastery, which can be challenging for newcomers. - Users often find the **documentation inadequate** , making setup and advanced features challenging to navigate effectively. #### What Are Recent G2 Reviews of Nexla? **"[Smooth Data Integration with Impressive Speed and UI](https://www.g2.com/survey_responses/nexla-review-12630612)"** **Rating:** 4.5/5.0 stars *— Srinivasulu L.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12630612) --- **"[Robust Data Consolidation with Excellent Support](https://www.g2.com/survey_responses/nexla-review-12648347)"** **Rating:** 4.0/5.0 stars *— Jaspreet S.* [Read full review](https://www.g2.com/survey_responses/nexla-review-12648347) --- #### What Are G2 Users Discussing About Nexla? - [How do you use Nexla?](https://www.g2.com/discussions/nexla-how-do-you-use-nexla) - [How do you use Nexla?](https://www.g2.com/discussions/how-do-you-use-nexla) - [What is a data fabric?](https://www.g2.com/discussions/nexla-what-is-a-data-fabric) - [What is a data fabric?](https://www.g2.com/discussions/what-is-a-data-fabric) - [What does DataOps do?](https://www.g2.com/discussions/nexla-what-does-dataops-do) ### 9. [Select Star](https://www.g2.com/products/select-star/reviews) Select Star is a modern data governance platform that helps organizations manage and understand their data at scale, enabling AI, analytics, and self-service across the business. It automatically catalogs datasets, traces end-to-end lineage, and builds a shared business glossary and semantic layer, so teams can confidently work with trusted data. With a user-friendly data portal and built-in automation, Select Star supports use cases including data democratization, data governance, semantic layers, and cloud data migrations serving as a foundational layer for enterprise AI and data initiatives. **Average Rating:** 4.5/5.0 **Total Reviews:** 55 **How Do G2 Users Rate Select Star?** - **Ease of Use:** 8.9/10 (Category avg: 8.7/10) - **Metadata Management:** 8.8/10 (Category avg: 9.0/10) - **Data Discovery:** 8.8/10 (Category avg: 8.8/10) - **Automation Features:** 7.4/10 (Category avg: 8.5/10) **Who Is the Company Behind Select Star?** - **Seller:** [Select Star](https://www.g2.com/sellers/select-star) - **Year Founded:** 2020 - **HQ Location:** San Francisco, CA - **Twitter:** @selectstarhq (389 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/selectstarhq/ (17 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Real Estate - **Company Size:** 51% Mid-Market, 38% Enterprise #### What Are Select Star's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Data Lineage (9 reviews) - User Interface (7 reviews) - Data Discovery (5 reviews) - Data Cataloging (4 reviews) **Cons:** - Limited Functionality (2 reviews) - Lineage Limitations (2 reviews) - Complex Setup (1 reviews) - Difficult Learning (1 reviews) - Expertise Required (1 reviews) ### What Do G2 Reviewers Say About Select Star? *AI-generated summary from verified user reviews* **Pros:** - Users find **ease of use** in Select Star, quickly navigating its intuitive interface for efficient data searching. - Users value the **powerful column-level lineage** in Select Star, making data tracing effortless and enhancing data quality. - Users love the **clean and intuitive interface** of Select Star, enhancing data discovery and navigation effortlessly. - Users find Select Star's **intuitive interface** greatly enhances data discovery and simplifies collaboration across teams. - Users highlight the **intuitive usability** of Select Star, making data discovery and collaboration seamless across teams. **Cons:** - Users find the **limited functionality** of Select Star restricts insights like popularity based on actual end user views. - Users note **lineage limitations** in Select Star, finding it challenging to visualize dependencies with large datasets. - Users find the **complex setup** for a dbt mesh ecosystem to be challenging and time-consuming. - Users find the **difficult learning curve** of Select Star challenging, seeking more straightforward guidance for quicker value. - Users find that **expertise is required** to effectively utilize Select Star, which can hinder quick value realization. #### What Are Recent G2 Reviews of Select Star? **"[Intuitive Data Discovery Made Effortless](https://www.g2.com/survey_responses/select-star-review-11919348)"** **Rating:** 5.0/5.0 stars *— Clara C.* [Read full review](https://www.g2.com/survey_responses/select-star-review-11919348) --- **"[Seamless Integration, Solid Support](https://www.g2.com/survey_responses/select-star-review-11904733)"** **Rating:** 5.0/5.0 stars *— Steve K.* [Read full review](https://www.g2.com/survey_responses/select-star-review-11904733) --- ### 10. [Informatica Enterprise Data Catalog](https://www.g2.com/products/informatica-enterprise-data-catalog/reviews) A machine-learning-based data catalog that allows to classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across enterprise. **Average Rating:** 4.3/5.0 **Total Reviews:** 19 **How Do G2 Users Rate Informatica Enterprise Data Catalog?** - **Ease of Use:** 7.8/10 (Category avg: 8.7/10) - **Metadata Management:** 8.1/10 (Category avg: 9.0/10) - **Data Discovery:** 8.1/10 (Category avg: 8.8/10) - **Automation Features:** 7.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Informatica Enterprise Data Catalog?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 53% Enterprise, 26% Mid-Market #### What Are Recent G2 Reviews of Informatica Enterprise Data Catalog? **"[Absolute product for cloud data integration](https://www.g2.com/survey_responses/informatica-enterprise-data-catalog-review-7703992)"** **Rating:** 4.0/5.0 stars *— Sonali G.* [Read full review](https://www.g2.com/survey_responses/informatica-enterprise-data-catalog-review-7703992) --- **"[Informatica EDC - must have tool for Data catalog use case](https://www.g2.com/survey_responses/informatica-enterprise-data-catalog-review-9083881)"** **Rating:** 4.5/5.0 stars *— Sumeet J.* [Read full review](https://www.g2.com/survey_responses/informatica-enterprise-data-catalog-review-9083881) --- #### What Are G2 Users Discussing About Informatica Enterprise Data Catalog? - [What is Informatica Enterprise Data Catalog used for?](https://www.g2.com/discussions/what-is-informatica-enterprise-data-catalog-used-for) ### 11. [Secoda](https://www.g2.com/products/secoda/reviews) Secoda is an AI-powered data governance platform designed to help organizations explore, understand, and utilize their data effectively. By providing a comprehensive platform that connects to 75+ data sources, pipelines, warehouses, and visualization tools, Secoda aims to create a unified source of truth for businesses. This functionality is particularly valuable for organizations looking to enhance their self-serve analytics, streamline operations, and improve decision-making. Targeted at data teams, business stakeholders, and organizations of all sizes, Secoda serves as an essential tool for those who need to manage and interpret large volumes of data. Its user-friendly interface ensures that individuals with varying levels of technical expertise can leverage the platform to gain actionable insights. Companies such as Vanta, Cardinal Health, ID.me, and Dialpad have adopted Secoda to monitor the health of their data ecosystems, enhance the efficiency of their data teams, and scale AI readiness. One of Secoda’s core advantages is its ability to unify data cataloging, enterprise governance, and observability into a single, streamlined platform. This consolidation not only reduces the overhead of managing multiple tools but also powers Secoda AI with rich, connected context, enabling teams to focus on insights instead of infrastructure. Secoda automates key data management tasks including documentation, tagging, glossary term creation, and policy creation. This automation enables users to quickly discover and access relevant data and insights without extensive manual effort. By streamlining these processes, Secoda not only saves valuable time but also empowers teams to make confident, data-driven decisions based on current, well-organized information, ultimately driving better business outcomes. Overall, Secoda stands out in the data management landscape by offering a comprehensive, AI-driven solution that caters to the needs of both technical and non-technical users. Its ability to create a single source of truth, coupled with its integration of multiple functionalities into one platform, positions it as a valuable asset for organizations aiming to harness the full potential of their data. **Average Rating:** 4.5/5.0 **Total Reviews:** 55 **How Do G2 Users Rate Secoda?** - **Ease of Use:** 8.2/10 (Category avg: 8.7/10) - **Metadata Management:** 9.3/10 (Category avg: 9.0/10) - **Data Discovery:** 8.2/10 (Category avg: 8.8/10) - **Automation Features:** 7.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Secoda?** - **Seller:** [Secoda](https://www.g2.com/sellers/secoda) - **Year Founded:** 2021 - **HQ Location:** Toronto, CA - **Twitter:** @SecodaHQ (923 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/secodahq/about (19 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Financial Services - **Company Size:** 65% Mid-Market, 18% Small-Business #### What Are Secoda's Pros and Cons? **Pros:** - Data Lineage (7 reviews) - Onboarding (7 reviews) - Integration Capabilities (6 reviews) - Learning (6 reviews) - Data Management (5 reviews) **Cons:** - Learning Difficulty (4 reviews) - Product Immaturity (4 reviews) - Improvement Needed (3 reviews) - Limited Functionality (3 reviews) - Performance Issues (3 reviews) ### What Do G2 Reviewers Say About Secoda? *AI-generated summary from verified user reviews* **Pros:** - Users value the **data lineage feature** for enhancing asset structure and simplifying data discovery across teams. - Users value the **easy onboarding process** of Secoda, empowering effective data governance and enhancing team collaboration. - Users value the **integration capabilities** of Secoda, which seamlessly connects to numerous essential business platforms. - Users appreciate the **intuitive learning experience** of Secoda, as both tech and non-tech users find it easy to use. - Users value the **effective data management** features of Secoda, enhancing knowledge sharing and centralizing information seamlessly. **Cons:** - Users find the **learning difficulty** with Secoda's complex team system frustrating, especially for nontechnical users. - Users note the **product immaturity** of Secoda, experiencing occasional bugs and missing features amid ongoing improvements. - Users note significant **improvement needed** for Secoda, citing low utility and challenging asset filtering that hindered adoption. - Users find Secoda's **limited functionality** hampers effective usage, leading to dissatisfaction and unmet business needs. - Users experience **performance issues** due to syncing problems and bugs, hindering functionality and user experience. #### What Are Recent G2 Reviews of Secoda? **"[Secoda offers great integration with Snowflake, dbt, Tableau for Data Cataloging and AI assistance](https://www.g2.com/survey_responses/secoda-review-11049626)"** **Rating:** 5.0/5.0 stars *— Surya Kant M.* [Read full review](https://www.g2.com/survey_responses/secoda-review-11049626) --- **"[Making real progress with metadata, lineage, documentation and AI use cases](https://www.g2.com/survey_responses/secoda-review-11392959)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/secoda-review-11392959) --- ### 12. [Coalesce Catalog (formerly CastorDoc)](https://www.g2.com/products/castor-doc/reviews) Coalesce Catalog is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. Coalesce Catalog redesigns how data people collaborate. It provides a single source of truth to reference and document all the knowledge related to data within your company. If you are looking for a table related to your customers, just look for it as you would in Google, and Coalesce Catalog provides you with all the context you will need for your analysis. Inspired by internal tools developed by Uber, Airbnb, Lyft, and Spotify, Coalesce Catalog has developed a plug-and-play solution that deploys in minutes to drive value for companies of all sizes. Discover and catalog your data today with Coalesce Catalog. **Average Rating:** 4.7/5.0 **Total Reviews:** 63 **How Do G2 Users Rate Coalesce Catalog (formerly CastorDoc)?** - **Ease of Use:** 9.6/10 (Category avg: 8.7/10) - **Metadata Management:** 9.3/10 (Category avg: 9.0/10) - **Data Discovery:** 9.4/10 (Category avg: 8.8/10) - **Automation Features:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Coalesce Catalog (formerly CastorDoc)?** - **Seller:** [Coalesce](https://www.g2.com/sellers/coalesce) - **Company Website:** https://coalesce.io/ - **Year Founded:** 2020 - **HQ Location:** San Francisco, CA - **LinkedIn® Page:** https://www.linkedin.com/company/coalesceio/ (118 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 59% Mid-Market, 27% Enterprise #### What Are Coalesce Catalog (formerly CastorDoc)'s Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Collaboration (2 reviews) - Connectivity (2 reviews) - Data Lineage (2 reviews) - Useful (2 reviews) **Cons:** - Connector Issues (1 reviews) - Integration Issues (1 reviews) - Limitations (1 reviews) ### What Do G2 Reviewers Say About Coalesce Catalog (formerly CastorDoc)? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Coalesce Catalog, finding it simple and intuitive for data discovery. - Users value the **collaborative features** of Coalesce Catalog, enhancing team knowledge sharing and onboarding efficiency. - Users value the **seamless connectivity** of Coalesce Catalog, enabling effortless integration with various data sources and tools. - Users appreciate the **data lineage feature** for simplifying data discovery and enhancing understanding within their data environments. - Users find the **intuitive interface and powerful data governance** features of Coalesce Catalog extremely beneficial for their data management. **Cons:** - Users experience **connector issues** as direct connections with other AI agents to the Catalog are not possible. - Users experience **integration issues** as they cannot connect other AI agents directly to the Coalesce Catalog. - Users find a **limitation in AI connectivity** , as connecting other agents directly to the Catalog knowledge is not possible. #### What Are Recent G2 Reviews of Coalesce Catalog (formerly CastorDoc)? **"[User-friendly & easy adoption for all of our data users](https://www.g2.com/survey_responses/coalesce-catalog-formerly-castordoc-review-11753164)"** **Rating:** 4.5/5.0 stars *— Théo C.* [Read full review](https://www.g2.com/survey_responses/coalesce-catalog-formerly-castordoc-review-11753164) --- **"[A great tool to organize and explain your data hub](https://www.g2.com/survey_responses/coalesce-catalog-formerly-castordoc-review-10622007)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/coalesce-catalog-formerly-castordoc-review-10622007) --- ### 13. [Progress Semaphore](https://www.g2.com/products/progress-semaphore/reviews) The Progress Semaphore semantic AI platform enables organizations to derive value from their information by making it consumable and trustworthy across the enterprise at scale. Semaphore excels at this by providing contextual, high quality, integrated and more operational metadata to downstream systems to drive customer experiences, product innovations, trusted intelligence and AI initiatives. **Average Rating:** 4.4/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Progress Semaphore?** - **Ease of Use:** 7.9/10 (Category avg: 8.7/10) **Who Is the Company Behind Progress Semaphore?** - **Seller:** [Progress Software](https://www.g2.com/sellers/progress-software) - **Year Founded:** 1981 - **HQ Location:** Burlington, MA. - **Twitter:** @ProgressSW (48,773 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/progress-software/ (4,205 employees on LinkedIn®) - **Ownership:** NASDAQ:PRGS **Who Uses This Product?** - **Top Industries:** Computer Software - **Company Size:** 61% Small-Business, 32% Mid-Market #### What Are Recent G2 Reviews of Progress Semaphore? **"[I use Progress semaphore for all my quatative and rational meta date needs.](https://www.g2.com/survey_responses/progress-semaphore-review-9660492)"** **Rating:** 5.0/5.0 stars *— Raj S.* [Read full review](https://www.g2.com/survey_responses/progress-semaphore-review-9660492) --- **"[Great tool for managing unstructured and structured information to generate meaningful data.](https://www.g2.com/survey_responses/progress-semaphore-review-9667045)"** **Rating:** 5.0/5.0 stars *— Mohit G.* [Read full review](https://www.g2.com/survey_responses/progress-semaphore-review-9667045) --- ### 14. [IBM watsonx.data intelligence](https://www.g2.com/products/ibm-watsonx-data-intelligence/reviews) IBM watsonx.data intelligence revolutionizes the way organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.data intelligence is a comprehensive solution that integrates capabilities such as data governance (formerly IBM Knowledge Catalog), data lineage (formerly IBM Manta Data Lineage), data sharing, and data quality management. It empowers organizations to discover, trust, and access meaningful data, providing consumers with reliable data products. Explore Demo Library - https://www.ibm.com/products/watsonx-data-intelligence/demo-library Start your free trial - https://dataplatform.cloud.ibm.com/registration/stepone?context=df&apps=all&uucid=1227cc9e37cb9292&preselect\_region=true **Average Rating:** 4.2/5.0 **Total Reviews:** 24 **How Do G2 Users Rate IBM watsonx.data intelligence?** - **Ease of Use:** 8.4/10 (Category avg: 8.7/10) - **Metadata Management:** 8.3/10 (Category avg: 9.0/10) - **Data Discovery:** 8.9/10 (Category avg: 8.8/10) - **Automation Features:** 9.4/10 (Category avg: 8.5/10) **Who Is the Company Behind IBM watsonx.data intelligence?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Company Size:** 38% Small-Business, 34% Enterprise #### What Are IBM watsonx.data intelligence's Pros and Cons? **Pros:** - Automation (3 reviews) - Data Lineage (3 reviews) - Data Quality (2 reviews) - Ease of Use (2 reviews) - Efficiency (2 reviews) **Cons:** - Complex Implementation (3 reviews) - Complexity (2 reviews) - Expensive (2 reviews) - Expertise Required (2 reviews) - Extra Costs (2 reviews) ### What Do G2 Reviewers Say About IBM watsonx.data intelligence? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **automation features** of IBM watsonx.data intelligence, enhancing data flow clarity and reducing manual efforts. - Users value the **easy view of data flows** provided by IBM Watsonx.data intelligence, enhancing data governance and understanding. - Users value the **data flow visualization** in IBM watsonx.data intelligence, enhancing understanding and governance of data processes. - Users appreciate the **ease of use** of IBM Manta Data Lineage, simplifying data flow visualization and governance. - Users commend the **efficiency of automated data lineage** , streamlining processes and enhancing data governance in organizations. **Cons:** - Users report **complex implementation** challenges with IBM watsonx.data intelligence, requiring specialized knowledge and high setup costs. - Users find the **setup complexity** of IBM watsonx.data intelligence challenging and often require specialized expertise for implementation. - Users find the **costs of implementation** prohibitive, making IBM watsonx.data intelligence less accessible for many. - Users face challenges with **setup complexity** , often requiring specialized expertise for effective implementation of IBM watsonx.data intelligence. - Users find the **extra costs** associated with IBM watsonx.data intelligence might exceed their budget and expectations. #### What Are Recent G2 Reviews of IBM watsonx.data intelligence? **"[Intuitive Data Lineage Solution](https://www.g2.com/survey_responses/ibm-watsonx-data-intelligence-review-10653356)"** **Rating:** 4.5/5.0 stars *— srikanth c.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-intelligence-review-10653356) --- **"[Good Data Management Tool !](https://www.g2.com/survey_responses/ibm-watsonx-data-intelligence-review-10711565)"** **Rating:** 4.0/5.0 stars *— Rahul C.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-intelligence-review-10711565) --- ### 15. [Cluedin](https://www.g2.com/products/cluedin/reviews) CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no longer need to spend time manually modeling, mapping and integrating their data, allowing the natural data model to emerge and evolve with your business. Not only does this save time and money, it also means that the quality of your data can improve by up to 50% in as little as six weeks. Our system integrates with over 27 Microsoft Azure Data and Analytics Services, including Purview and the Fabric suite. We were also the first MDM vendor to integrate with Azure OpenAI and to launch our own AI Assistant. With CluedIn, integrate data 60% faster, validate and deduplicate data 50% quicker, and raise analytics accuracy by 25%. **Average Rating:** 4.1/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Cluedin?** - **Ease of Use:** 7.9/10 (Category avg: 8.7/10) - **Metadata Management:** 8.3/10 (Category avg: 9.0/10) - **Data Discovery:** 8.3/10 (Category avg: 8.8/10) **Who Is the Company Behind Cluedin?** - **Seller:** [CluedIn](https://www.g2.com/sellers/cluedin) - **Year Founded:** 2015 - **HQ Location:** Copenhagen, Copenhagen - **Twitter:** @cluedinhq (2,422 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/cluedin-aps (34 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Enterprise #### What Are Cluedin's Pros and Cons? **Pros:** - AI Features (1 reviews) - Customer Support (1 reviews) - Easy Setup (1 reviews) **Cons:** - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About Cluedin? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly AI features** of Cluedin, making data management accessible even for non-technical users. - Users praise the **excellent customer support** of Cluedin, making it easy for anyone to get help. - Users find the **easy setup** of Cluedin beneficial for quickly onboarding data without prior technical hurdles. **Cons:** - Users find the **learning curve for terminology** challenging, as mastering new terms requires considerable time and effort. #### What Are Recent G2 Reviews of Cluedin? **"[Unveiling the Power of Data Collaboration: A Review of CluedIn](https://www.g2.com/survey_responses/cluedin-review-8234686)"** **Rating:** 4.0/5.0 stars *— Verified User in Retail* [Read full review](https://www.g2.com/survey_responses/cluedin-review-8234686) --- **"[The AI features are some of the best I have seen on the market. Quite fun to use as well.](https://www.g2.com/survey_responses/cluedin-review-11392203)"** **Rating:** 5.0/5.0 stars *— Goron M.* [Read full review](https://www.g2.com/survey_responses/cluedin-review-11392203) --- ### 16. [DataHub](https://www.g2.com/products/datahub/reviews) DataHub is an event-driven AI and Data Context Platform designed to unify discovery, governance, and observability across an organization’s entire data estate. Unlike traditional data catalogs, DataHub Cloud offers real-time updates, automatic policy enforcement, and seamless integration with over 100 data sources. This ensures that organizations can maintain data quality, compliance, and AI-readiness at scale, addressing the complexities of modern data management. Targeted at data teams, governance professionals, and AI practitioners, DataHub serves a diverse audience that includes data engineers, analysts, data stewards, and compliance officers. The platform is particularly beneficial for organizations that require a centralized source of truth for all metadata across various environments, such as data warehouses, lakes, business intelligence platforms, machine learning systems, and AI agents. By consolidating data management processes, DataHub enhances collaboration and efficiency within data teams, enabling them to work more effectively. One of the standout features of DataHub is its automated data lineage tracking, which operates down to the column level. This capability allows teams to quickly assess the impact of any upstream changes, facilitating faster debugging of quality issues and helping to avert costly incidents before they escalate to production. Additionally, the platform employs AI-powered functionalities to manage repetitive tasks associated with metadata, such as documentation generation, intelligent glossary classification, and sensitive data tagging. This automation empowers data professionals to concentrate on higher-value activities, thereby increasing overall productivity. For data governance and compliance teams, DataHub offers robust tools for continuous policy enforcement, role-based access controls, and personally identifiable information (PII) detection. The platform is designed to support regulatory standards such as GDPR, HIPAA, and PCI, all while minimizing manual oversight. This ensures that organizations can maintain compliance without the burden of extensive manual processes. Furthermore, for AI and ML teams, DataHub provides the reliable data context essential for developing trustworthy AI agents and models, fostering innovation and improving outcomes. With backing from prominent investors like Bessemer Venture Partners, LinkedIn, and 8VC, DataHub has gained the trust of leading organizations, including Netflix, Visa, Slack, and Pinterest. This widespread adoption underscores the platform's effectiveness in transforming data operations and enhancing the overall data management landscape. For more information, visit datahub.com. **Average Rating:** 4.4/5.0 **Total Reviews:** 8 **How Do G2 Users Rate DataHub?** - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) **Who Is the Company Behind DataHub?** - **Seller:** [DataHub](https://www.g2.com/sellers/datahub) - **Company Website:** https://datahub.com/ - **Year Founded:** 2013 - **HQ Location:** Palo Alto, California - **Twitter:** @DataHubCloud (720 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datahub-cloud/ (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 63% Mid-Market, 25% Enterprise #### What Are DataHub's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Connectivity (2 reviews) - Open Source (2 reviews) - Accuracy (1 reviews) - Affordable (1 reviews) **Cons:** - Integration Issues (2 reviews) - Dependency Issues (1 reviews) - Difficult Interface (1 reviews) - Lack of Features (1 reviews) - Large Data Management (1 reviews) ### What Do G2 Reviewers Say About DataHub? *AI-generated summary from verified user reviews* **Pros:** - Users find **DataHub easy to use** , significantly improving data organization and facilitating seamless connectivity with other tools. - Users value the **seamless connectivity** with numerous tools, enhancing their experience and productivity. - Users appreciate the **ease of use and accessibility** of DataHub as an open source data catalog tool. - Users value the **accuracy** of DataHub, praising its effectiveness in managing complex data lineage easily. - Users value the **affordability** of DataHub, particularly appreciating its free and open-source nature. **Cons:** - Users report **integration issues** with DataHub, particularly lacking support for DBT and data quality tests. - Users find **dependency issues** frustrating, as it demands time and effort from data owners for effective use. - Users find the interface **difficult to navigate** , which can hinder the overall experience despite its robust data handling. - Users are disappointed by the **lack of features** like data quality tests and dbt support in DataHub. - Users notice that handling **large datasets** can slow down performance and complicate their experience with DataHub. #### What Are Recent G2 Reviews of DataHub? **"[Easy to use data Catalog tool](https://www.g2.com/survey_responses/datahub-review-10768422)"** **Rating:** 4.0/5.0 stars *— Siddharth N.* [Read full review](https://www.g2.com/survey_responses/datahub-review-10768422) --- **"[Easy and Efficient Tool!](https://www.g2.com/survey_responses/datahub-review-10781084)"** **Rating:** 4.5/5.0 stars *— Kessie M.* [Read full review](https://www.g2.com/survey_responses/datahub-review-10781084) --- ### 17. [decube](https://www.g2.com/products/decube/reviews) Decube is a Context Layer platform specifically designed for the AI era, providing organizations with the ability to give their data meaning, memory, and trust. This innovative system integrates various components such as metadata management, automated lineage tracking, data quality assurance, and observability to create a comprehensive real-time map of data dynamics. By understanding how data operates, flows, and its reliability, Decube empowers enterprises to make informed decisions and effectively manage AI workloads. Targeted primarily at enterprises that rely heavily on data-driven decision-making, Decube addresses a critical challenge faced by many organizations: the lack of contextual understanding of their data. In an age where data is abundant, the real issue lies in the ability to interpret and utilize that data effectively. Decube provides a connected understanding of the entire data ecosystem, which helps eliminate blind spots and enhances governance. This contextual awareness is essential for organizations looking to leverage AI technologies and ensure that their models, dashboards, and agents operate with greater intelligence and safety. Key features of Decube include its robust metadata management capabilities, which allow users to track and manage data lineage effortlessly. This feature ensures that organizations can trace the origins and transformations of their data, thereby enhancing transparency and accountability. Additionally, Decube’s focus on data quality means that users can trust the information they are working with, reducing the risk of errors in critical decision-making processes. The observability aspect of the platform further enables organizations to monitor data flows in real-time, ensuring that any issues can be identified and addressed promptly. The benefits of using Decube extend beyond mere data management. By providing a living, interconnected understanding of data, Decube enhances the overall operational confidence of organizations. This platform not only strengthens governance but also facilitates smarter decision-making by ensuring that all data-driven models are built on a foundation of reliable and contextualized information. As businesses increasingly depend on trustworthy data and AI-ready infrastructure, Decube stands out as a vital tool that equips them with the necessary context to navigate the complexities of the modern data landscape. **Average Rating:** 4.6/5.0 **Total Reviews:** 23 **How Do G2 Users Rate decube?** - **Ease of Use:** 9.4/10 (Category avg: 8.7/10) **Who Is the Company Behind decube?** - **Seller:** [Decube Data](https://www.g2.com/sellers/decube-data) - **Company Website:** https://decube.io - **Year Founded:** 2022 - **HQ Location:** Kuala Lumpur - **Twitter:** @decube_data (113 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/decube-data/ (44 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 39% Mid-Market, 35% Small-Business #### What Are decube's Pros and Cons? **Pros:** - User Interface (8 reviews) - Ease of Use (7 reviews) - Features (7 reviews) - Data Quality (6 reviews) - Insights (6 reviews) **Cons:** - Limited Functionality (3 reviews) - Complex Setup (2 reviews) - Limited Features (2 reviews) - Missing Features (2 reviews) - Poor Customer Support (2 reviews) ### What Do G2 Reviewers Say About decube? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive and simple UI** of Decube, enhancing easy data monitoring and insightful automation. - Users praise Decube for its **ease of use** , featuring a user-friendly interface and quick onboarding process. - Users value the **visibility into data pipelines** offered by Decube, enabling early detection of issues before they escalate. - Users value the **real-time visibility into data quality** with Decube, enhancing confidence and proactive management of data. - Users value the **clear insights and easy data monitoring** of Decube, appreciating its user-friendly setup and dashboard. **Cons:** - Users find the **limited functionality** of Decube cumbersome, requiring extra effort for deeper insights and manual configurations. - Users face a **complex setup** process with Decube, making initial configuration time-consuming and challenging. - Users feel that **advanced features are limited** , requiring extra effort for deeper insights and configurations. - Users find the **missing features** in Decube, like API monitoring and group-by options, frustrating and limiting. - Users face challenges with **poor customer support** , often finding it difficult to reach assistance when needed. #### What Are Recent G2 Reviews of decube? **"[Effortless Data Quality and Trust with Decube](https://www.g2.com/survey_responses/decube-review-11920093)"** **Rating:** 4.5/5.0 stars *— Ahsan Y.* [Read full review](https://www.g2.com/survey_responses/decube-review-11920093) --- **"[Comprehensive Data Trust Platform with Powerful Features, but Support Needs Improvement](https://www.g2.com/survey_responses/decube-review-11833181)"** **Rating:** 5.0/5.0 stars *— Sivani V.* [Read full review](https://www.g2.com/survey_responses/decube-review-11833181) --- ### 18. [ER/Studio](https://www.g2.com/products/er-studio/reviews) What is ER/Studio? ER/Studio is an enterprise data modeling platform that helps organizations design, manage, and govern data assets across complex environments. It connects business requirements to technical implementation through conceptual, logical, and physical models, creating a single source of truth for enterprise data. Design and Collaborate Design data models and keep teams aligned with ER/Studio’s multi-user shared repository and web-based portal, Team Server. The centralized repository supports version control, role-based access, and parallel development so multiple modelers can work simultaneously while maintaining a complete change history. Team Server extends collaboration beyond architects by providing browser-based access for business and technical stakeholders to explore models, review definitions, and participate in discussions. Build, version, and review models on premises or across cloud-based platforms like Snowflake, Databricks, Azure Synapse, and Oracle to maintain accuracy, consistency, and visibility throughout your data ecosystem. Govern and Standardize Drive trusted analytics with standardized data definitions and integrated governance. ER/Studio connects business glossaries and data dictionaries while syncing seamlessly with Microsoft Purview and Collibra, ensuring consistent terminology, clear documentation, and enterprise-wide compliance from model creation to delivery. Accelerate with AI ER/Studio includes ERbert, an AI Data Modeling Assistant that converts plain-language business requests into structured data models. This feature saves time, reduces manual effort, and helps teams deliver faster. Why Organizations Choose ER/Studio - Intuitive interface preferred by data architects - Unified modeling environment for all major database platforms - Seamless collaboration between technical and business users - Enterprise-scale architecture for standardization and governance - Integrated AI and metadata management for faster delivery ER/Studio empowers enterprise data teams to build trusted, well-governed data architectures that accelerate analytics, reduce risk, and improve organizational understanding of data. **Average Rating:** 4.0/5.0 **Total Reviews:** 14 **How Do G2 Users Rate ER/Studio?** - **Ease of Use:** 8.9/10 (Category avg: 8.7/10) **Who Is the Company Behind ER/Studio?** - **Seller:** [Idera, Inc.](https://www.g2.com/sellers/idera-inc-6c9eda01-43cf-4bd5-b70c-70f59610d9a0) - **Company Website:** https://www.idera.com/ - **Year Founded:** 1999 - **HQ Location:** Houston, TX - **Twitter:** @MigrationWiz (482 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/bittitan (73 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 56% Enterprise, 31% Mid-Market #### What Are ER/Studio's Pros and Cons? **Pros:** - User Interface (3 reviews) - Ease of Use (2 reviews) - Features (2 reviews) - Collaboration (1 reviews) - Customer Support (1 reviews) **Cons:** - Learning Curve (1 reviews) - Learning Difficulty (1 reviews) - Limited Database Support (1 reviews) - Outdated Design (1 reviews) - Overwhelming Features (1 reviews) ### What Do G2 Reviewers Say About ER/Studio? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive user interface** of ER/Studio, making it easy to create and manage database models. - Users appreciate the **intuitive user interface** of ER/Studio, making it easy to create and manage models. - Users value ER/Studio for its **powerful features** , enhancing collaboration and simplifying complex database design tasks. - Users value the **ease of collaboration** in ER/Studio, enhancing efficiency in managing complex database designs. - Users commend the **excellent customer support** of ER/Studio, enhancing their overall experience with the product. **Cons:** - Users find the **dashboard overwhelming for beginners** , making it challenging to navigate and utilize effectively. - Users find the **dashboard overwhelming** , making it challenging for beginners to navigate ER/Studio effectively. - Users express concern over the **limited database support** as ER/Studio lags behind the cloud-based industry trend. - Users find the **outdated design** of ER/Studio limiting as it remains client/server based instead of cloud-based. - Users find the **overwhelming dashboard** of ER/Studio challenging, especially for those new to the tool. #### What Are Recent G2 Reviews of ER/Studio? **"[Comprehensive Modeling Features, But Lags Behind in Cloud Adoption](https://www.g2.com/survey_responses/er-studio-review-11876250)"** **Rating:** 4.0/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/er-studio-review-11876250) --- **"[ER/Studio: Strengths and Limitations](https://www.g2.com/survey_responses/er-studio-review-13002214)"** **Rating:** 4.5/5.0 stars *— Verified User in Real Estate* [Read full review](https://www.g2.com/survey_responses/er-studio-review-13002214) --- #### What Are G2 Users Discussing About ER/Studio? - [What does a data architect do?](https://www.g2.com/discussions/what-does-a-data-architect-do) - [What is Data Architect tool?](https://www.g2.com/discussions/what-is-data-architect-tool) - [What is embarcadero ER Studio?](https://www.g2.com/discussions/what-is-embarcadero-er-studio) - [What is ER Studio used for?](https://www.g2.com/discussions/what-is-er-studio-used-for) ### 19. [Talend Data Catalog](https://www.g2.com/products/talend-data-catalog/reviews) Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most meaningful data to the user. **Average Rating:** 4.2/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Talend Data Catalog?** - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Talend Data Catalog?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Enterprise #### What Are Talend Data Catalog's Pros and Cons? **Pros:** - Data Cataloging (1 reviews) - Data Discovery (1 reviews) - Ease of Use (1 reviews) - Intuitive (1 reviews) - Intuitive Use (1 reviews) **Cons:** - Interface Complexity (1 reviews) - Poor Interface Design (1 reviews) - Poor UI Design (1 reviews) - User Interface Issues (1 reviews) - UX Design (1 reviews) ### What Do G2 Reviewers Say About Talend Data Catalog? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive data cataloging** of Talend Data Catalog, enhancing their data accessibility and usability. - Users appreciate the **intuitive data discovery** feature of Talend Data Catalog, enhancing ease of use like an e-commerce platform. - Users find the **intuitive interface** of Talend Data Catalog enhances ease of use, akin to an e-commerce platform. - Users find Talend Data Catalog to be **intuitive and user-friendly** , resembling an e-commerce platform for data management. - Users find Talend Data Catalog to offer a **highly intuitive interface** , enhancing their data navigation experience. **Cons:** - Users feel the **interface complexity** hinders usability, needing improvements for better appeal and functionality. - Users feel the **poor interface design** of Talend Data Catalog requires improvements for enhanced usability and appeal. - Users believe the **UI design needs improvement** for better appeal and enhanced usability in Talend Data Catalog. - Users feel the **UI needs improvement** for better appeal and usability, although it shows potential for future development. - Users note the **UI needs improvement** , requiring fine-tuning for a more appealing and useful experience. #### What Are Recent G2 Reviews of Talend Data Catalog? **"[Qlik for Business Reporting & Analytics](https://www.g2.com/survey_responses/talend-data-catalog-review-6640048)"** **Rating:** 4.5/5.0 stars *— Wajeeh R.* [Read full review](https://www.g2.com/survey_responses/talend-data-catalog-review-6640048) --- **"[Using Qlik Catalog to enhance your data reach](https://www.g2.com/survey_responses/talend-data-catalog-review-5417913)"** **Rating:** 4.5/5.0 stars *— Fernando G.* [Read full review](https://www.g2.com/survey_responses/talend-data-catalog-review-5417913) --- #### What Are G2 Users Discussing About Talend Data Catalog? - [What is Talend Data Catalog used for?](https://www.g2.com/discussions/what-is-talend-data-catalog-used-for) ### 20. [Dawiso](https://www.g2.com/products/dawiso/reviews) Dawiso is a modern, user-friendly data catalog and governance platform supporting the data democratisation of data-driven companies. With active metadata management, Dawiso enables everybody in an organisation, regardless of their technical knowhow, to work with data comfortably and to feel confident talking about it. As a result, everybody can make data-informed decisions. **Average Rating:** 4.7/5.0 **Total Reviews:** 11 **How Do G2 Users Rate Dawiso?** - **Ease of Use:** 9.5/10 (Category avg: 8.7/10) - **Metadata Management:** 9.0/10 (Category avg: 9.0/10) - **Data Discovery:** 10.0/10 (Category avg: 8.8/10) - **Automation Features:** 8.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Dawiso?** - **Seller:** [Dawiso](https://www.g2.com/sellers/dawiso) - **Year Founded:** 2019 - **HQ Location:** Prague 1, Prague - **LinkedIn® Page:** https://www.linkedin.com/company/dawiso/ (37 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 45% Mid-Market, 36% Small-Business #### What Are Dawiso's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - User Interface (3 reviews) - Workflow Management (2 reviews) - AI Features (1 reviews) - AI Modeling (1 reviews) **Cons:** - Limited Customization (2 reviews) - Integration Issues (1 reviews) - Learning Curve (1 reviews) - Limited Features (1 reviews) - Limited Tools (1 reviews) ### What Do G2 Reviewers Say About Dawiso? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** in Dawiso, appreciating its intuitive interface and efficient organization tools. - Users appreciate the **clean and intuitive interface** of Dawiso, enhancing ease of navigation and workflow management. - Users praise Dawiso for its **simple and intuitive workflow management** , making navigation and task completion effortless. - Users value the **AI-powered metadata management** of Dawiso, enabling efficient data tagging and classification. - Users benefit from the **AI-powered automation** of metadata tagging, simplifying data management and enhancing efficiency. **Cons:** - Users find the **limited customization** options restrict their ability to tailor workflows to their specific needs. - Users report **integration issues** with Dawiso, specifically bugs when connecting to CRM systems. - Users find a **steep learning curve** with Dawiso due to the limited documentation, making it challenging to master. - Users express frustration over **limited features** in Dawiso, impacting the management of complex workflows effectively. - Users find the **limited advanced features** of Dawiso challenging for managing complex workflows effectively. #### What Are Recent G2 Reviews of Dawiso? **"[Dawiso Review](https://www.g2.com/survey_responses/dawiso-review-10638443)"** **Rating:** 4.0/5.0 stars *— Paulina L.* [Read full review](https://www.g2.com/survey_responses/dawiso-review-10638443) --- **"[Streamlining our compliance with Dawiso](https://www.g2.com/survey_responses/dawiso-review-10024034)"** **Rating:** 5.0/5.0 stars *— Vipin G.* [Read full review](https://www.g2.com/survey_responses/dawiso-review-10024034) --- ### 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: 8.7/10) - **Metadata Management:** 10.0/10 (Category avg: 9.0/10) - **Data Discovery:** 10.0/10 (Category avg: 8.8/10) - **Automation Features:** 10.0/10 (Category avg: 8.5/10) **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 **Data Governance and Data Security** features of Alex Solutions for ensuring compliance and reliable data management. - Users value the **robust data security** measures of Alex Solutions, ensuring effective governance and protection of their information. **Cons:** - Users often struggle with the **complex initial setup** , which can lead to frustration and delays in usage. - Users caution that **Alex Solutions may be too complex for smaller businesses** with limited budgets and resources. - Users face **integration issues** , struggling with complex setups and limited compatibility with other tools. #### 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. [Securiti](https://www.g2.com/products/securiti/reviews) Securiti is the pioneer of the DataAI Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including "Most Innovative Startup" by RSA, "Top 25 Machine Learning Startups" by Forbes, "Most Innovative AI Companies'' by CB Insights, "Cool Vendor in Data Security" by Gartner, and "Privacy Management Wave Leader'' by Forrester. For more information, please follow us on LinkedIn and visit Securiti.ai. **Average Rating:** 4.7/5.0 **Total Reviews:** 87 **How Do G2 Users Rate Securiti?** - **Ease of Use:** 8.6/10 (Category avg: 8.7/10) - **Metadata Management:** 10.0/10 (Category avg: 9.0/10) - **Data Discovery:** 10.0/10 (Category avg: 8.8/10) - **Automation Features:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Securiti?** - **Seller:** [Veeam](https://www.g2.com/sellers/veeam) - **Company Website:** https://www.veeam.com - **Year Founded:** 2006 - **HQ Location:** Kirkland, WA - **Twitter:** @veeam (51,541 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/veeam-software/ (7,174 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Retail - **Company Size:** 64% Enterprise, 15% Mid-Market #### What Are Securiti's Pros and Cons? **Pros:** - Ease of Use (38 reviews) - Customer Support (26 reviews) - Features (21 reviews) - Helpful (20 reviews) - Problem Solving (20 reviews) **Cons:** - Complexity (11 reviews) - Learning Curve (10 reviews) - Implementation Issues (9 reviews) - Complexity Issues (8 reviews) - Learning Difficulty (8 reviews) ### What Do G2 Reviewers Say About Securiti? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Securiti, complimenting its straightforward setup and intuitive interface. - Users appreciate the **excellent customer support** provided by Securiti, highlighting its professionalism and responsiveness. - Users appreciate the **user-friendly interface** and seamless integration of Securiti, which simplifies privacy management workflows. - Users value the **responsive and helpful support** from Securiti, which enhances collaboration and efficiency for global organizations. - Users value Securiti's **effective problem-solving capabilities** , streamlining privacy tasks and ensuring compliance effortlessly. **Cons:** - Users find Securiti's **complexity** challenging, making configuration and integration a time-consuming and difficult process. - Users experience a **steep learning curve** with Securiti, making it challenging to adapt and fully utilize its features. - Users find that **implementation issues** arise due to complexity, time consumption, and the need for extensive coordination. - Users find the **complexity issues** of Securiti can complicate configurations and require extensive training and expertise. - Users find the **learning difficulty** of Securiti's features challenging, requiring extensive training to navigate effectively. #### What Are Recent G2 Reviews of Securiti? **"[Responsive, Attentive Customer Support That Follows Through](https://www.g2.com/survey_responses/securiti-review-12723645)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/securiti-review-12723645) --- **"[Fantastic for Hybrid Data Discovery, Classification, and Automated Remediation](https://www.g2.com/survey_responses/securiti-review-12493209)"** **Rating:** 4.5/5.0 stars *— Verified User in Human Resources* [Read full review](https://www.g2.com/survey_responses/securiti-review-12493209) --- #### What Are G2 Users Discussing About Securiti? - [What are the examples of security software?](https://www.g2.com/discussions/what-are-the-examples-of-security-software) - [What security features mean?](https://www.g2.com/discussions/what-security-features-mean) - [What does a security software do?](https://www.g2.com/discussions/what-does-a-security-software-do) - [What are examples of security features?](https://www.g2.com/discussions/what-are-examples-of-security-features) ### 23. [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: 8.7/10) **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) --- ### 24. [Tribal Platform](https://www.g2.com/products/tribal-platform/reviews) Tribal is a sophisticated software solution designed to assist organizations in managing complex systems, unclear metadata, and overwhelming backlogs. Tribal addresses the pressing need for clarity and efficiency in enterprise systems. By providing a comprehensive analysis and mapping of metadata, Tribal enables organizations to streamline their operations and prepare for the future of artificial intelligence (AI) innovation. The platform is particularly beneficial for teams struggling with the intricacies of their existing systems. As organizations grow, their technological ecosystems often become convoluted, leading to inefficient processes and a backlog that outpaces their ability to resolve issues. Tribal's unique metadata fabric acts as an intelligence layer, offering teams the insights they need to regain control over their systems. This clarity not only enhances operational efficiency but also lays the groundwork for true AI readiness, enabling organizations to harness the power of AI without the typical hurdles. One of the standout features of Tribal is its AI agent, which collaborates with existing teams rather than replacing them. This augmentation allows teams to enhance their capabilities across various stages of the enterprise system lifecycle, from analysis to delivery and ongoing evolution. By functioning as a force multiplier, Tribal empowers organizations to accelerate their processes significantly, reportedly enabling teams to work ten times faster. This collaborative approach ensures that teams can focus on strategic initiatives while the AI handles routine tasks, ultimately leading to improved productivity and reduced operational costs. Tribal's benefits extend beyond mere speed; it also facilitates the development of trusted AI solutions within established guardrails. Organizations can maintain control over their metadata, which serves as a critical descriptor of their business operations. By aligning business and IT functions on a single platform, Tribal fosters a cohesive environment where both sides can work together effectively. The result is a dramatic reduction in maintenance costs, up to 80%, and a more agile response to changing business needs. In essence, Tribal is not just a tool for accelerating delivery; it fundamentally transforms how organizations understand, maintain, and evolve their systems. With Tribal, businesses can confidently embrace AI innovation, knowing they have the necessary infrastructure and support to thrive in an increasingly complex digital landscape. **Average Rating:** 4.9/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Tribal Platform?** - **Ease of Use:** 9.4/10 (Category avg: 8.7/10) - **Metadata Management:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Tribal Platform?** - **Seller:** [Tribal](https://www.g2.com/sellers/tribal-4850b7b4-2a89-4b5e-aee9-fd5e851d931e) - **Company Website:** https://gotribal.ai - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/tribalai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of Tribal Platform? **"[Really User-Friendly, Easy-to-Use UI](https://www.g2.com/survey_responses/tribal-platform-review-12392509)"** **Rating:** 4.5/5.0 stars *— Laetitia E.* [Read full review](https://www.g2.com/survey_responses/tribal-platform-review-12392509) --- **"[Tribal makes Salesforce org management fast, safe, and accessible to everyone](https://www.g2.com/survey_responses/tribal-platform-review-12432151)"** **Rating:** 5.0/5.0 stars *— Yaron D.* [Read full review](https://www.g2.com/survey_responses/tribal-platform-review-12432151) --- ### 25. [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: 8.7/10) - **Metadata Management:** 10.0/10 (Category avg: 9.0/10) - **Data Discovery:** 9.4/10 (Category avg: 8.8/10) - **Automation Features:** 9.4/10 (Category avg: 8.5/10) **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, enjoying its simple setup and automated anomaly detection features. - Users praise the **easy setup** of Validio, enabling quick implementation and effective data validation for new datasets. - Users find **setup ease** with Validio impressive, enabling quick implementation and effective data validation for new datasets. - Users value the **easy setup of actionable alerts** in Validio, enabling quick responses to data quality issues. - Users praise the **knowledgeable and helpful customer support** of Validio, enhancing their overall experience and satisfaction. **Cons:** - Users feel the **limited customization** of Validio restricts their ability to tailor advanced features and reporting effectively. - Users find **inadequate reporting** capabilities frustrating, especially with poor documentation and limited customization options for advanced features. - Users desire greater **customizability in filtering segments** for validations to enhance their overall experience with Validio. - Users struggle with **poor documentation** , making it difficult to utilize advanced features and reporting effectively. #### 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) --- ## What Is Active Metadata Management Software? [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure) ## What Software Categories Are Similar to Active Metadata Management Software? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms) - [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog) - [Data Governance Tools](https://www.g2.com/categories/data-governance-tools) - [Data Fabric Software](https://www.g2.com/categories/data-fabric) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Data Observability Software](https://www.g2.com/categories/data-observability)