Best Enterprise Active Metadata Management Software

How Many Active Metadata Management Software Products Does G2 Track?

Total Products under this Category: 60

Category Stats (Nov 2026)

  • Average Rating: 4.5/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: OpenMetadata (+2.27%) - Among all products in this category, OpenMetadata recorded the largest rating increase compared to last month

Last updated: November 05, 2026

How Does G2 Rank Active Metadata Management Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,900+ Authentic Reviews
  • 60+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Active Metadata Management Software

G2 Grid® for Active Metadata Management Software plotting products by satisfaction and market presence

Highlighted products: Atlan, Collibra, Alation, Cloudera, Coalesce, DataGalaxy, and Informatica Data & AI Governance, Privacy.

Underlying data: [Grid® JSON](https://www.g2.com/categories/active-metadata-management/grids.json?focus%5B%5D=atlan&focus%5B%5D=collibra&focus%5B%5D=alation&focus%5B%5D=cloudera&focus%5B%5D=coalesce-coalesce&focus%5B%5D=datagalaxy&focus%5B%5D=informatica-data-ai-governance-privacy&segment=enterprise)

Atlan

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: 135

How Do G2 Users Rate Atlan?

  • Ease of Use: 9.0/10 (Category avg: 8.8/10)
  • Metadata Management: 9.2/10 (Category avg: 9.0/10)
  • Data Discovery: 8.9/10 (Category avg: 8.9/10)
  • Automation Features: 8.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: in.linkedin.com
    508 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, facilitating seamless data discovery and collaboration across teams.
  • Users appreciate the intuitive user interface of Atlan, which enhances collaboration and makes data management effortless and enjoyable.
  • Users value Atlan's great data discovery and collaboration features, enhancing their ability to work seamlessly with data.
  • Users value the detailed lineage feature of Atlan for its effectiveness in tracking data origins and impact.
  • Users commend Atlan for its easy setup, simplifying data implementation and enhancing overall productivity effortlessly.
Cons
  • Users find the steep learning curve of Atlan challenging, making it tough for newcomers to maximize its value.
  • Users note the limited functionality of Atlan, specifically in automation and team task management features.
  • Users face user interface issues that hinder navigation, customization, and overall user-friendliness for business tasks.
  • Users experience a difficult learning curve with Atlan, making it challenging for newcomers to utilize its features effectively.
  • Users face integration issues with Teams, requiring more refined workflows and additional infrastructure for non-native databases.

What Are Recent G2 Reviews of Atlan?

Collibra

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: 101

How Do G2 Users Rate Collibra?

  • Ease of Use: 8.0/10 (Category avg: 8.8/10)
  • Metadata Management: 8.5/10 (Category avg: 9.0/10)
  • Data Discovery: 8.3/10 (Category avg: 8.9/10)
  • Automation Features: 7.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Collibra?

  • Seller: Collibra
  • Company Website:
  • Year Founded: 2008
  • HQ Location: New York, New York
  • LinkedIn® Page: www.linkedin.com
    1,105 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 73% Large, 18% Medium

What Do G2 Reviewers Say About Collibra?

AI-generated summary from verified user reviews

Pros
  • Users value the unified data intelligence platform of Collibra, enhancing collaboration and efficiency across teams and functions.
  • Users benefit from the ease of use of Collibra, which simplifies the management and governance of data assets.
  • Users value Collibra for its trustworthy and accessible data management, enhancing alignment between Business and IT teams.
  • Users value Collibra's enhanced data governance, appreciating its unified approach and powerful AI features for managing data assets.
  • Users appreciate the seamless integration of Collibra, enabling effective solutions tailored to their business needs.
Cons
  • Users experience limited functionality due to cumbersome navigation, unclear roles, and technical issues, hindering effective use of Collibra.
  • Users face complexity issues with Collibra, resulting in slow workflows and unclear roles that hinder effective collaboration.
  • Users find the complexity of Collibra hampers efficiency, causing confusion and slowdowns in their workflows.
  • Users find that improvement is needed for Collibra's verification process, system stability, and clarity of roles and responsibilities.
  • Users find the complex setup of Collibra challenging, requiring significant effort for onboarding and configuration.

What Are Recent G2 Reviews of Collibra?

What Are G2 Users Discussing About Collibra?

Alation

Alation is the creator of AIOS™, the open, governed, self-improving intelligence operating system for enterprises that cannot afford to get AI wrong. Having pioneered the data catalog market, Alation helps organizations establish trust in the agents, data, and context that power AI-driven decisions. The result is AI organizations can trust, enabling them to navigate regulatory complexity, maintain data fidelity, accelerate operational outcomes, and transform AI ambition into trusted business impact. Alation partners with the world’s leading to leverage better data to solve their most critical challenges.

Average Rating: 4.4/5.0

Total Reviews: 97

How Do G2 Users Rate Alation?

  • Ease of Use: 8.4/10 (Category avg: 8.8/10)
  • Metadata Management: 8.3/10 (Category avg: 9.0/10)
  • Data Discovery: 8.3/10 (Category avg: 8.9/10)
  • Automation Features: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Alation?

  • Seller: Alation
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    576 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 57% Large, 28% Medium

What Do G2 Reviewers Say About Alation?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alation, praising its intuitive interface and seamless setup for security and integration.
  • Users commend Alation for its seamless data discovery, facilitating easy navigation and understanding of complex data relationships.
  • Users value the seamless navigation and integration in Alation, enhancing data accessibility and overall user experience.
  • Users highly value the user-friendly data cataloging of Alation, enhancing data discovery and governance across platforms.
  • Users find Alation’s user-friendly interface enhances navigation, simplifying data exploration and project organization effectively.
Cons
  • Users experience slow performance in Alation, particularly with large data integrations and metadata freshness delays.
  • Users note the missing features in Alation, particularly in Data Quality and user interface improvements.
  • Users note limited functionality in Alation, particularly with missing features and restricted data products for non-enterprise licenses.
  • Users face significant lineage limitations with Alation, experiencing bugs and incomplete data connections across systems.
  • Users find the user interface lacking, experiencing slowness and complexity that hinders effective data navigation.

What Are Recent G2 Reviews of Alation?

What Are G2 Users Discussing About Alation?

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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. Cloudera Anywhere Cloud™: Build and scale applications across any environment. The modular hybrid data and AI platform engineered for the agentic era empowers teams to deploy production-grade data and AI workloads across multi-cloud, on-premises, and sovereign environments while maintaining digital sovereignty. 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: 4.2/5.0

Total Reviews: 208

How Do G2 Users Rate Cloudera?

  • Ease of Use: 8.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®
  • Phone: 888-789-1488

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 33% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Cloudera, enjoying its straightforward installation and maintenance for analytics.
  • Users commend Cloudera for its exceptional scalability, enabling seamless integration and efficient big data management.
  • Users commend Cloudera for its robust security, ideal for high-scale enterprise-level data engineering tasks.
  • Users appreciate the easy and secure data management provided by Cloudera, enabling smart analytics and decision-making.
  • Users value the user-friendly features of Cloudera, which simplify big data handling and improve workflow efficiency.
Cons
  • Users express concerns over the high costs associated with Cloudera, making it less accessible for some.
  • Users find Cloudera to have a complex setup and operational challenges, especially for inexperienced professionals.
  • Users find Cloudera setup to be difficult to learn, especially for beginners navigating its complex interface.
  • Users find the documentation lacking, which hampers navigating data configurations and resolving errors effectively.
  • Users face significant access issues with Cloudera, including limited documentation and authorization errors during task execution.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

Coalesce

Coalesce is the data operating layer for analytics and AI. It unifies data transformation, cataloging, and quality in one governed platform. Coalesce Transform, Coalesce Catalog, and Coalesce Quality share one metadata layer, one set of definitions, and one governance model. • One system, not a stitched toolchain: Transform, Catalog, and Quality share one metadata layer, one set of definitions, and one governance model. • Govern every actor, human or AI: an agent follows the same standards, approvals, and lineage as an engineer in the IDE. • A purpose-built place to review AI's work: the visual graph, node inspection, and column-level lineage let humans verify agent-built pipelines before they ship, with an audit trail that separates agent from human work. • Request to production in one flow: no handoffs across tools and teams; governed by default. Coalesce Transform: Build, automate, and govern data transformations—with agents, within the UI, or directly through code. Engineers work in the visual builder, the IDE, or locally through Coalesce Desktop and the coa CLI. Every pipeline compiles to optimized SQL with column-level lineage, reusable Node Types and Packages, and validation on every change. Coalesce Catalog: Discover, document, and govern every data asset with AI. Catalog connects across your stack, documents assets with AI, and keeps lineage, ownership, and definitions current automatically—so people and AI agents work from the same understanding of the data. Coalesce Quality: Monitor, test, and validate data with observability built into the pipeline. Tests, rules, and anomaly monitors run as part of the pipeline. When something breaks, lineage-aware alerting shows what's affected, who owns it, and where the failure started. Built for humans and AI agents: Coalesce Copilot turns natural-language intent into governed transformations. Scout, an always-on data SRE, triages issues and proposes fixes for human review. Transform MCP, Catalog MCP, and Quality MCP let AI agents like Claude Code read metadata, traverse lineage, check quality, and make governed changes under the same standards as engineers. Coalesce never stores data at rest, encrypts data in motion, and runs production refreshes inside your data platform. Leading data teams use Coalesce to resolve incidents 5× faster, deliver migrations and projects 4× faster, and reclaim 50%+ of warehouse compute.

Average Rating: 4.7/5.0

Total Reviews: 118

How Do G2 Users Rate Coalesce?

  • Ease of Use: 9.3/10 (Category avg: 8.8/10)
  • Metadata Management: 9.3/10 (Category avg: 9.0/10)
  • Data Discovery: 9.4/10 (Category avg: 8.9/10)
  • Automation Features: 8.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Coalesce?

  • Seller: Coalesce
  • Company Website:
  • Year Founded: 2020
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Analytics Engineer
  • Top Industries: Computer Software, Financial Services
  • Company Size: 63% Medium, 23% Large

What Do G2 Reviewers Say About Coalesce?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coalesce, finding it intuitive and accessible for all experience levels.
  • Users value the automation capabilities of Coalesce, which significantly streamline data transformation and save time.
  • Users commend the excellent customer support of Coalesce, highlighting its responsiveness and dedication to user needs.
  • Users value the intuitive UI of Coalesce, making it easy for everyone to use and implement quickly.
  • Users love Coalesce for its user-friendly interface and seamless integration with Snowflake, enhancing data transformation efficiency.
Cons
  • Users often face UI design issues that hinder navigation and usability, affecting their overall experience with Coalesce.
  • Users face integration issues with Coalesce, particularly with limited options and challenges in managing git functionalities.
  • Users find the learning curve challenging due to the lack of comprehensive online courses and deep dives on features.
  • Users find limitations in credential management and customization options, hindering their overall experience with Coalesce.
  • Users find the poor documentation lacks depth, making it challenging to understand features and best practices effectively.

What Are Recent G2 Reviews of Coalesce?

DataGalaxy

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: 8.8/10)
  • Metadata Management: 9.5/10 (Category avg: 9.0/10)
  • Data Discovery: 8.0/10 (Category avg: 8.9/10)
  • Automation Features: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind DataGalaxy?

  • Seller: DataGalaxy
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Lyon, Rhone-Alpes
  • LinkedIn® Page: www.linkedin.com
    96 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Insurance, Banking
  • Company Size: 54% Large, 43% Medium

What Do G2 Reviewers Say About DataGalaxy?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of DataGalaxy, benefiting from its simplicity and effective customization options.
  • Users value the easy integrations of DataGalaxy, enhancing their data infrastructure with seamless connectivity to essential tools.
  • Users praise the user-friendly interface of DataGalaxy, enhancing their ability to manage and visualize complex data effectively.
  • Users value the seamless collaboration features of DataGalaxy, enhancing teamwork between business and technical teams.
  • Users value the automation features of DataGalaxy, enhancing efficiency and simplifying metadata management across teams.
Cons
  • Users note limited functionality, wishing for more automation and customization to enhance the overall usability of DataGalaxy.
  • Users find the interface not intuitive and suggest improvements for usability and functionality enhancements.
  • Users note the missing features in DataGalaxy, particularly in automation and policy management capabilities.
  • Users find the interface not intuitive and note the product's immaturity, affecting overall usability.
  • Users find the interface unintuitive, facing challenges with immature functions and complex metadata import connectors.

What Are Recent G2 Reviews of DataGalaxy?

Informatica Data & AI Governance, Privacy

Informatica Data & AI Governance, Privacy is a comprehensive, cloud-native solution designed to empower organizations with predictive data intelligence. By integrating data discovery, cataloging, governance, and lineage capabilities, it enables businesses to find, understand, trust, and access their data assets efficiently. This unified approach simplifies collaboration between technical and business teams, ensuring that data-driven decisions are based on accurate and trustworthy information. With AI-powered automation, the platform enhances data classification, curation, and quality management, facilitating faster and more reliable analytic insights. By providing a holistic view of data relationships and lineage, Informatica Cloud Data Governance and Catalog helps organizations turn their data into a competitive advantage. Key Features and Functionality: - Automated Data Discovery and Classification: Utilizes AI to automatically find, classify, and inventory critical data across cloud and on-premises environments. - Comprehensive Data Cataloging: Creates a centralized repository of data assets, linking technical metadata with business context for enhanced understanding. - End-to-End Data Lineage: Provides visual representations of data flow and transformations, enabling users to trace data origins and assess impact. - Integrated Data Quality Management: Monitors and ensures data quality through profiling, validation, and cleansing processes. - Collaboration and Social Curation: Facilitates teamwork by allowing users to share insights, certify data assets, and engage in discussions through comments and ratings. - AI Model Governance: Manages and governs AI models alongside data, ensuring compliance and trust in AI-driven decisions. Primary Value and Problem Solved: Informatica Data & AI Governance, Privacy addresses the critical need for organizations to manage and govern their data assets effectively in an increasingly complex data landscape. By providing a unified platform that automates data discovery, classification, and quality management, it ensures that businesses can trust their data for decision-making. The solution enhances collaboration between technical and business users, linking technical metadata with business context to provide a holistic view of data assets. This comprehensive approach not only accelerates the delivery of reliable analytic insights but also ensures compliance with data governance policies, ultimately turning data into a strategic asset that drives innovation and competitive advantage.

Average Rating: 4.1/5.0

Total Reviews: 146

How Do G2 Users Rate Informatica Data & AI Governance, Privacy?

  • Ease of Use: 8.2/10 (Category avg: 8.8/10)
  • Metadata Management: 7.7/10 (Category avg: 9.0/10)
  • Data Discovery: 8.0/10 (Category avg: 8.9/10)
  • Automation Features: 7.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Informatica Data & AI Governance, Privacy?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 30% Small

What Do G2 Reviewers Say About Informatica Data & AI Governance, Privacy?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automatic discovery and governance of data, enhancing data trust and operational efficiency across various platforms.
Cons
  • Users find integration issues challenging due to complex setups and potential performance slowdowns with large data environments.

What Are Recent G2 Reviews of Informatica Data & AI Governance, Privacy?

What Are G2 Users Discussing About Informatica Data & AI Governance, Privacy?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated