Best Active Metadata Management Software

How Many Active Metadata Management Software Products Does G2 Track?

Total Products under this Category: 68

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
  • 2,000+ Authentic Reviews
  • 68+ 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, Alation, erwin Data Modeler, Coalesce, Collate, Collibra, ServiceNow Workflow Data Fabric, and Cloudera.

Underlying data: [Grid® JSON](https://www.g2.com/categories/active-metadata-management/grids.json?focus%5B%5D=atlan&focus%5B%5D=alation&focus%5B%5D=quest-software-erwin-data-modeler&focus%5B%5D=coalesce-coalesce&focus%5B%5D=collate-collate&focus%5B%5D=collibra&focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=cloudera)

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?

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?

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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erwin Data Modeler

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: 131

How Do G2 Users Rate erwin Data Modeler?

  • Ease of Use: 8.4/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 9.7/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind erwin Data Modeler?

  • Seller: Quest Software
  • Company Website:
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®
  • Ownership: NYSE: DGX

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 43% Small, 35% Medium

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, making data visualization and collaboration straightforward and effective.
  • Users find that erwin Data Modeler enhances collaboration by providing clear, structured visuals that bridge technical and business teams.
  • Users value the clarity in designing and visualizing database structures with erwin Data Modeler, enhancing collaboration and reducing errors.
  • Users value the ease of use for data governance in erwin Data Modeler, facilitating collaboration and reducing misunderstandings.
  • Users value the robust data management capabilities of erwin Data Modeler, enabling seamless integration with various databases.
Cons
  • Users find the high licensing cost of erwin Data Modeler a significant drawback, limiting wider adoption and usage.
  • Users find the complexity of erwin Data Modeler makes it challenging for new users to adapt efficiently.
  • Users find the difficult interface of erwin Data Modeler challenging, especially for newcomers to data modeling concepts.
  • Users find the limited customization options in erwin Data Modeler hinder their flexibility and personalization of the tool.
  • Users feel that the interface is outdated, making it challenging for new users to adapt quickly.

What Are Recent G2 Reviews of erwin Data Modeler?

What Are G2 Users Discussing About erwin Data Modeler?

Collate

Collate is the AI-for-Data platform and the company behind OpenMetadata, the open context layer for AI. It gives data teams and AI agents the context, business meaning, and organizational memory needed to understand and use enterprise data consistently. Collate automates the recurring work required to keep data documented, tested, and governed, while grounding AI in the context needed to produce more accurate answers with fewer tokens.  More than 4,000 organizations worldwide, including OpenAI, Yelp, Experian, and Airbus, run their production data and AI workloads on Collate and OpenMetadata.

Average Rating: 4.6/5.0

Total Reviews: 20

How Do G2 Users Rate Collate?

  • Ease of Use: 9.1/10 (Category avg: 8.8/10)
  • Metadata Management: 9.7/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Collate?

  • Seller: Collate
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Large, 32% Medium

What Are Recent G2 Reviews of Collate?

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?

ServiceNow Workflow Data Fabric

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, Workflow Data Fabric 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: 153

How Do G2 Users Rate ServiceNow Workflow Data Fabric?

  • Ease of Use: 8.1/10 (Category avg: 8.8/10)
  • Metadata Management: 6.0/10 (Category avg: 9.0/10)
  • Data Discovery: 5.7/10 (Category avg: 8.9/10)
  • Automation Features: 4.7/10 (Category avg: 8.6/10)

Who Is the Company Behind ServiceNow Workflow Data Fabric?

  • Seller: ServiceNow
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®
  • Ownership: NYSE:NOW

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 28% Medium

What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric?

AI-generated summary from verified user reviews

Pros
  • Users find ServiceNow's ease of use enhances workflow management, allowing seamless integration and automation with minimal effort.
  • Users value the seamless integrations of ServiceNow Workflow Data Fabric, enhancing collaboration and streamlining processes across departments.
  • Users appreciate the low-code automation of ServiceNow Workflow Data Fabric, simplifying integrations and enhancing workflow management.
  • Users value the efficiency improvement from ServiceNow Workflow Data Fabric, enhancing operations and reducing manual effort significantly.
  • Users value the unified data access of ServiceNow Workflow Data Fabric, enhancing efficiency and simplifying decision-making across workflows.
Cons
  • Users find the complex setup of ServiceNow Workflow Data Fabric challenging, requiring significant time and expertise for proper configuration.
  • Users find the difficult setup of ServiceNow Workflow Data Fabric time-consuming and challenging, impacting accessibility and integration.
  • Users find the pricing quite expensive, making it challenging for smaller teams to justify the costs.
  • Users experience slow performance when handling large datasets, impacting efficiency and responsiveness during data operations.
  • Users find the complexity of learning and managing features in ServiceNow Workflow Data Fabric challenging for new users.

What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric?

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?

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?

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?

TopQuadrant

TopBraid EDG is a comprehensive data governance platform designed to help organizations manage, connect, and make sense of their data assets with unmatched flexibility and transparency. Powered by semantic web standards and knowledge graph technology, TopBraid EDG helps build an AI-ready data foundation for governing your data at scale. By seamlessly integrating taxonomies, ontologies, structured and unstructured data, and policies, TopBraid EDG enables dynamic, enterprise-wide semantic interoperability to connect disparate systems, drive smarter decision-making and compliance that inject policy into the data layer. With its scalable, extensible architecture, TopBraid EDG empowers organizations to unlock the full potential of their data while maintaining trust, accuracy, and agility.

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate TopQuadrant?

  • Ease of Use: 7.2/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 8.3/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind TopQuadrant?

  • Seller: TopQuadrant
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Raleigh, US
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Small

What Are Recent G2 Reviews of TopQuadrant?

Nexla

Nexla is the data connectivity layer for enterprise AI, connecting agents and applications to data systems, business applications, APIs, documents, and other enterprise sources through 1,000+ connectors. Nexla powers real-time data and actions for agents over MCP, alongside Agentic Data Integration supporting high-volume ETL, CDC, streaming, API integration, and document ingestion. With Express.dev, teams build production data pipelines conversationally, and with MCP Studio, they create task-specific, governed MCP servers. A full enterprise interface lets teams of all skill levels configure, monitor, govern, and operate integrations at scale. Try Express at https://express.dev At the core of the platform is Helix, a context engine that continuously learns from metadata, schemas, telemetry, and documentation to give agents accurate context and keep pipelines reliable. Nexla processes more than 12 trillion records annually and meets SOC 2 Type II, ISO 27001, HIPAA, and GDPR standards. Nexla is trusted by Fortune 100 enterprises including DoorDash, LiveRamp, LinkedIn, and J&J. Why teams choose Nexla ✅ Connect agents to 1,000+ systems with real-time data and actions over MCP ✅ Use bidirectional connectors out of the box, or generate new ones on demand ✅ Build production pipelines conversationally with Express.dev ✅ Create task-specific, governed MCP servers with MCP Studio ✅ Run ETL, ELT, CDC, streaming, API integration, and document ingestion on one platform, in real time or batch ✅ Work with any data type: structured, semi-structured, and unstructured ✅ Ground agents in accurate context with Helix, on a metadata-driven architecture built to scale with AI workloads ✅ Automate data quality validation, monitoring, and alerts ✅ Govern access with role-based controls, full lineage, search, and tagging for auditability Nexla is a Gartner Cool Vendor and pairs perfectly with the technologies you rely on ✅ Cloud: AWS, Azure, Google Cloud, on-premises ✅ Data platforms: Snowflake, Databricks, BigQuery, Redshift, S3, Oracle, Kafka, MongoDB, Postgres, MySQL ✅ Applications: SAP, Salesforce, NetSuite, Workday, HubSpot, Marketo, Google Ads ✅ Catalogs: Alation, Collibra, data.world ✅ Vector databases and LLMs: Pinecone and major model providers ✅ Webhooks, email, FTP, and APIs And many more Differentiators & Awards 🏆 2022-2025 Highest Rating Gartner Peer Insights™ Voice of the Customer for Data Integration Tools 🏆 G2 Fall 2026 High Performer and Momentum Leader

Average Rating: 4.6/5.0

Total Reviews: 63

How Do G2 Users Rate Nexla?

  • Ease of Use: 8.7/10 (Category avg: 8.8/10)
  • Metadata Management: 8.8/10 (Category avg: 9.0/10)
  • Data Discovery: 9.2/10 (Category avg: 8.9/10)
  • Automation Features: 9.6/10 (Category avg: 8.6/10)

Who Is the Company Behind Nexla?

  • Seller: Nexla
  • Company Website:
  • Year Founded: 2016
  • HQ Location: San Mateo, California
  • LinkedIn® Page: www.linkedin.com
    71 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Insurance
  • Company Size: 42% Medium, 33% Small

What Do G2 Reviewers Say About Nexla?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Nexla, praising its user-friendly interface and seamless integration capabilities.
  • Users value the effortless automation in Nexla, enabling streamlined workflows and efficient data management across teams.
  • Users value the user-friendly interface of Nexla, enabling effortless management of complex data pipelines and automated flows.
  • Users praise the easy integration of Nexla, enhancing accessibility and streamlining connections across various data sources.
  • Users appreciate the ease of deployment and integration with Nexla, enabling seamless data manipulation without coding.
Cons
  • Users find the learning difficulty of Nexla challenging, particularly due to its complex features and insufficient documentation.
  • Users report slow performance with UI and searches, especially during large data processing and multiple flows.
  • Users find the difficult learning curve of Nexla challenging, especially when navigating complex features and setup.
  • Users find the learning curve steep, especially with complex features requiring prior knowledge and better documentation.
  • Users find the poor documentation of Nexla limits their understanding of advanced features and complex configurations.

What Are Recent G2 Reviews of Nexla?

What Are G2 Users Discussing About Nexla?

Select Star

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: 8.8/10)
  • Metadata Management: 8.8/10 (Category avg: 9.0/10)
  • Data Discovery: 8.8/10 (Category avg: 8.9/10)
  • Automation Features: 7.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Select Star?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Real Estate
  • Company Size: 51% Medium, 38% Large

What Do G2 Reviewers Say About Select Star?

AI-generated summary from verified user reviews

Pros
  • Users find Select Star intuitive and user-friendly, simplifying data discovery and collaboration across complex datasets.
  • Users value the comprehensive data lineage features of Select Star, enhancing insights and metadata management effortlessly.
  • Users love the intuitive and user-friendly interface of Select Star, which streamlines data navigation and discovery.
  • Users value the intuitive usability of Select Star, enhancing data discovery and collaboration across teams effectively.
  • Users value the intuitive and user-friendly interface of Select Star, enhancing data discovery and collaboration significantly.
Cons
  • Users feel that Select Star's limited functionality restricts valuable insights like true user engagement and advanced reporting.
  • Users find Select Star's lineage visualization challenging with complex tables, affecting clarity and access to data.
  • Users find the complex setup for a dbt mesh ecosystem challenging, requiring significant effort to unify projects.
  • Users find the difficult learning curve of Select Star challenging, seeking more straightforward guidance for quicker value.
  • Users find the expertise required for Select Star challenging, seeking simpler guidance for quicker value realization.

What Are Recent G2 Reviews of Select Star?

Progress Semaphore

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: 8.8/10)

Who Is the Company Behind Progress Semaphore?

  • Seller: Progress Software
  • Company Website:
  • Year Founded: 1981
  • HQ Location: Burlington, MA.
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®
  • Ownership: NASDAQ:PRGS

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 61% Small, 32% Medium

What Are Recent G2 Reviews of Progress Semaphore?

Secoda

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: 8.8/10)
  • Metadata Management: 9.3/10 (Category avg: 9.0/10)
  • Data Discovery: 8.2/10 (Category avg: 8.9/10)
  • Automation Features: 7.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Secoda?

  • Seller: Secoda
  • Year Founded: 2021
  • HQ Location: Toronto, CA
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 65% Medium, 18% Small

What Do G2 Reviewers Say About Secoda?

AI-generated summary from verified user reviews

Pros
  • User feedback highlights the ease of use of Secoda, enabling quick data access and understanding for all users.
  • Users appreciate the powerful AI features of Secoda, enhancing efficiency and autonomy in data management and exploration.
  • Users commend Secoda's helpful customer support, ensuring quick assistance and efficient resolution of issues.
  • Users value the data lineage feature of Secoda for enhancing structure and facilitating easy discovery across teams.
  • Users love the easy integrations with various platforms, providing a comprehensive view of their data stack.
Cons
  • Users report numerous bug issues in Secoda that hinder functionality and create frustration despite responsive support.
  • Users report experiencing frequent bugs in Secoda, which hinder functionality and can frustrate the overall experience.
  • Users often face technical issues due to bugs that hinder features, impacting the overall reliability of Secoda.
  • Users find the learning curve steep with Secoda, citing an overwhelming UI and challenging onboarding process.
  • Users note missing features in Secoda, particularly in automation and team management, leading to frustration.

What Are Recent G2 Reviews of Secoda?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024