Best Active Metadata Management Software

How Many Active Metadata Management Software Products Does G2 Track?

Total Products under this Category: 53

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.03 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+2.77%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Active Metadata Management Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,700+ Authentic Reviews
  • 53+ 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, erwin Data Modeler, Alation, Collibra, ServiceNow Workflow Data Fabric, Cloudera, DataGalaxy, and Nexla.

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

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: 134

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
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 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, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's intuitive user interface and seamless integration, enhancing collaboration and administrative efficiency.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value the lineage feature of Atlan for its ability to seamlessly integrate and reveal data dependencies.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users find the learning curve steep with Atlan, requiring time to fully leverage its extensive features.
  • Users note limited functionality in Atlan, particularly with AI capabilities and integration options across teams and tools.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.
  • Users find the difficult learning curve with Atlan challenging, particularly due to its many features and configurations.
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.

What Are Recent G2 Reviews of Atlan?

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: 124

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
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Small, 37% 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, facilitating collaboration and clarity in data visualization.
  • Users value the ease of collaboration in erwin Data Modeler, enhancing alignment between technical and business teams.
  • Users appreciate 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 better collaboration and reporting.
  • Users value the seamless data management capabilities of erwin Data Modeler across various environments and data sources.
Cons
  • Users find the licensing costs high, prompting many to switch to more affordable data modeling solutions.
  • Users find the complexity of erwin Data Modeler challenging, especially for new users navigating its outdated interface.
  • Users find the difficult interface of erwin Data Modeler challenging, especially for newcomers to data modeling.
  • Users find the limited customization options of erwin Data Modeler restrict their experience and flexibility in design.
  • Users find the outdated design of erwin Data Modeler makes 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?

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: 92

How Do G2 Users Rate Alation?

  • Ease of Use: 8.3/10 (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: 7.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Alation?

  • Seller: Alation
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Redwood City, CA
  • Twitter: @Alation
    3,567 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    576 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 58% Large, 27% Medium

What Do G2 Reviewers Say About Alation?

AI-generated summary from verified user reviews

Pros
  • Users praise Alation for its ease of use, facilitating data exploration and enhancing overall efficiency in data management.
  • Users value the flexible data discovery features of Alation, enhancing governance and improving data interpretation.
  • Users appreciate the intuitive navigation of Alation, making information retrieval quick and enhancing productivity significantly.
  • Users find Alation's data cataloging features invaluable for efficient data exploration and enhanced trust in data quality.
  • Users appreciate the intuitive user interface of Alation, making navigation and information retrieval remarkably efficient.
Cons
  • Users report slow performance when integrating multiple data sources and loading larger datasets, impacting overall efficiency.
  • Users feel Alation lacks mature AI features and faces issues with data profiling and inconsistent lineage analytics.
  • Users note the limited functionality of Alation, particularly with the restricted features in non-enterprise licenses.
  • Users face significant lineage limitations, including bugs and inconsistencies that hinder effective data management across systems.
  • Users experience user interface issues with Alation, particularly slow navigation and a less intuitive design for newcomers.

What Are Recent G2 Reviews of Alation?

What Are G2 Users Discussing About Alation?

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
  • Twitter: @collibra
    5,756 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,095 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Banking
  • Company Size: 72% Large, 18% Medium

What Do G2 Reviewers Say About Collibra?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the unified data intelligence platform of Collibra, effectively aligning Business and IT on a single system.
  • Users value the strong data governance features of Collibra, enhancing data accessibility and trustworthiness across the organization.
  • Users value the effective data management capabilities of Collibra, enhancing compliance, governance, and integration for optimal use.
  • Users appreciate the collaborative tools of Collibra, enhancing communication and efficiency in managing complex data ecosystems.
  • Users value Collibra for its reliable and user-friendly data intelligence platform, enhancing productivity through seamless integration and support.
Cons
  • Users note the complexity issues in Collibra, particularly with setup, bugs, and inconsistent API stability.
  • Users find Collibra's complexity hinders efficiency, as setup, configuration, and user engagement can be overwhelming.
  • Users struggle with limited functionality due to complex navigation and unintuitive language in Collibra.
  • Users find the difficult setup of Collibra to require significant time and resources, impacting their overall experience.
  • Users find Collibra to be expensive, with high licensing fees and challenges in adoption impacting user experience.

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: 152

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
  • Twitter: @servicenow
    55,548 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 29% 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: 190

How Do G2 Users Rate Cloudera?

  • Ease of Use: 8.3/10 (Category avg: 8.8/10)

Who Is the Company Behind Cloudera?

  • Seller: Cloudera
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Santa Clara, CA
  • Twitter: @cloudera
    106,442 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,505 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Banking
  • Company Size: 39% Large, 35% Small

What Do G2 Reviewers Say About Cloudera?

AI-generated summary from verified user reviews

Pros
  • Users praise the user-friendly interface of Cloudera, highlighting its simplicity in managing big data efficiently.
  • Users value the easy scalability of Cloudera, enabling efficient management of large amounts of data effortlessly.
  • Users value the robust security features of Cloudera, ensuring safe and reliable data management across platforms.
  • Users value the comprehensive suite of tools in Cloudera for effective data management and analytics.
  • Users find Cloudera's scalability and centralized administration invaluable for efficient monitoring and management of data processes.
Cons
  • Users express concerns over the high costs of Cloudera, noting it's expensive for its complexity and maintenance.
  • Users find Cloudera's database to be complex, making it challenging for inexperienced professionals to utilize effectively.
  • Users find Cloudera's setup difficult to learn, particularly challenging for beginners without adequate tutorials or guidance.
  • Users find the poor documentation of Cloudera frustrating, complicating navigation and setup for complex data configurations.
  • Users often face access issues with Cloudera, particularly with unauthorized errors in Airflow tasks and limited documentation.

What Are Recent G2 Reviews of Cloudera?

What Are G2 Users Discussing About Cloudera?

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
  • Twitter: @DataGalaxy
    864 Twitter followers
  • 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 appreciate the ease of use of DataGalaxy, finding it simple to implement and customize for various profiles.
  • Users value the easy integration of DataGalaxy with primary data tools, enhancing their data infrastructure effortlessly.
  • Users commend the user-friendly interface of DataGalaxy, enhancing their ability to visualize complex data lineages easily.
  • Users appreciate the seamless collaboration in DataGalaxy, enabling effective teamwork and unified data management across teams.
  • Users value the automation features of DataGalaxy, enhancing efficiency and simplifying metadata management across their organization.
Cons
  • Users note limited functionality in DataGalaxy, citing the need for better management capabilities and usability improvements.
  • Users find the user interface not intuitive and seek improvements for better functionality and usability.
  • Users find the missing features of DataGalaxy, especially in automation and policy management, limiting their experience.
  • Users point out the product immaturity of DataGalaxy, noting its interface and functions need further development.
  • Users find the interface not intuitive and face challenges with unrefined functions and metadata import connectors.

What Are Recent G2 Reviews of DataGalaxy?

Nexla

Nexla is the data layer for enterprise AI. The platform gives AI applications and agents the connectivity, context, and governance to operate across 1,000+ enterprise systems in real time. Its MCP Studio lets teams build task-specific, governed MCP servers conversationally, while the Helix Context Layer grounds every agent interaction in an enterprise's systems, data, schemas, documentation, and business logic. Nexla processes more than 10 trillion records and actions annually (over 1 trillion monthly) and is SOC 2 Type II, HIPAA, and GDPR compliant. Trusted by industry innovators like Autodesk, DoorDash, Instacart, Johnson & Johnson, LinkedIn, and LiveRamp. Try our AI Data Engineer at https://express.dev Increase the impact of your data engineering team ✅ Ship production-ready custom GenAI applications, faster ✅ Free engineering capacity for AI innovation, not pipeline upkeep ✅ Automate data validation, quality monitoring & alerts, no manual fixes ✅ Empower every user with Pro/Low/No-code collaboration ✅ Eliminate costly replication & reduce storage bills Go beyond one integration pattern, invest in architecture built for AI ✅ Agentic data integration with AI-built pipelines & governed MCP servers ✅ RAG-ready, alongside ELT, ETL, API/API proxy patterns ✅ Bi-directional connectors, out of the box & on demand ✅ Any processing speed, streaming, real-time, batch ✅ Any data type, unstructured, structured, semi-structured ✅ Full data lineage, search & tagging for auditability ✅ Metadata-driven architecture built to scale with AI workloads 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: 8.8/10)
  • 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
  • Twitter: @NexlaInc
    944 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    71 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Insurance
  • Company Size: 41% 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 value the time-saving capabilities of Nexla, significantly reducing manual effort in data integration.
Cons
  • Users find the learning difficulty of Nexla challenging, particularly due to its complex features and insufficient documentation.
  • 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 report slow performance with UI and searches, especially during large data processing and multiple flows.
  • 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?

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
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®

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 value the automatic discovery and governance of enterprise data, enhancing clarity and trust in data management.
Cons
  • Users often face integration issues due to complex setup and design, especially in large enterprises with legacy systems.

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

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

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?

  • Seller: Select Star
  • Year Founded: 2020
  • HQ Location: San Francisco, CA
  • Twitter: @selectstarhq
    389 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

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 praise the ease of use of Select Star, allowing effortless integration and efficient data management.
  • Users value the insightful data lineage offered by Select Star, enhancing understanding and management of data effectively.
  • Users value the clean and intuitive UI of Select Star, enhancing data discovery and simplifying complex tasks.
  • Users value the easy data discovery features of Select Star, significantly simplifying navigation in complex data models.
  • Users value the ease of data discovery in Select Star, enhancing their ability to locate and analyze metadata efficiently.
Cons
  • Users find limited functionality in Select Star, wishing for broader insights and enhanced reporting capabilities.
  • Users face lineage limitations with Select Star, struggling to visualize dependencies and access permissions in complex queries.
  • Users note a complex setup for Select Star, especially in configuring a unified project for dbt mesh ecosystems.
  • Users find difficult learning curves with Select Star, requiring clearer guidance for quicker value extraction.
  • Users find the expertise required for Select Star to be a barrier, seeking more accessible guidance for faster value.

What Are Recent G2 Reviews of Select Star?

Coalesce Catalog (formerly CastorDoc)

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: 8.8/10)
  • 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 Catalog (formerly CastorDoc)?

  • 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?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 59% Medium, 27% Large

What Do G2 Reviewers Say About Coalesce Catalog (formerly CastorDoc)?

AI-generated summary from verified user reviews

Pros
  • Users find Coalesce Catalog's ease of use exceptional, simplifying data discovery and enhancing collaboration across teams.
  • Users appreciate the collaboration features of Coalesce Catalog, enhancing knowledge sharing and onboarding processes.
  • Users appreciate the seamless connectivity of Coalesce Catalog, simplifying data discovery and integration across various sources.
  • Users find the data lineage feature invaluable for simplifying data discovery and enhancing team collaboration.
  • Users find the lineage feature extremely useful for simplifying data discovery and enhancing connectivity across data sources.
Cons
  • Users face connector issues that prevent direct integration of other AI agents with the Coalesce Catalog knowledge.
  • Users face integration issues, as connecting other AI agents to the Catalog knowledge is not possible.
  • Users face a limitation in AI integration as connecting other agents directly to the Catalog knowledge is not possible.

What Are Recent G2 Reviews of Coalesce Catalog (formerly CastorDoc)?

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
  • Twitter: @SecodaHQ
    923 Twitter followers
  • 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
  • Users value the data lineage feature of Secoda for enhancing metadata integration and improving asset discovery across teams.
  • Users praise Secoda's easy onboarding and self-serve nature, enhancing data governance and user empowerment from day one.
  • Users value the integration capabilities of Secoda, seamlessly connecting with numerous platforms for enhanced data management.
  • Users appreciate the ease of learning with Secoda, noting its intuitive design and supportive resources for all users.
  • Users praise the helpful data lineage and questions features of Secoda for enhancing knowledge sharing and understanding.
Cons
  • Users find the learning difficulty with integrations and team systems to be a frustrating barrier to effective usage.
  • Users note that Secoda has product immaturity, with occasional bugs and a lack of some essential features.
  • Users express concerns over improvement needed for filtering assets, AI model descriptions, and overall user experience in Secoda.
  • Users find Secoda has limited functionality with an overwhelming interface and insufficient support for essential features.
  • Users report performance issues in Secoda, including syncing delays and frequent bugs affecting functionality and user experience.

What Are Recent G2 Reviews of Secoda?

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.
  • Twitter: @ProgressSW
    48,773 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,242 employees on LinkedIn®

Who Uses This Product?

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

What Are Recent G2 Reviews of Progress Semaphore?

ER/Studio

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: 4.1/5.0

Total Reviews: 19

How Do G2 Users Rate ER/Studio?

  • Ease of Use: 9.2/10 (Category avg: 8.8/10)
  • Metadata Management: 8.3/10 (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 ER/Studio?

  • Seller: Idera, Inc.
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Austin, US
  • Twitter: @MigrationWiz
    482 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 52% Large, 33% Medium

What Do G2 Reviewers Say About ER/Studio?

AI-generated summary from verified user reviews

Pros
  • Users admire the intuitive user interface of ER/Studio, which enhances the overall modeling and collaboration experience.
  • Users appreciate the intuitive user interface of ER/Studio, making model creation easy and efficient.
  • Users appreciate the powerful features of ER/Studio, enhancing database design and collaboration seamlessly.
  • Users value the ease of collaboration in ER/Studio, appreciating its streamlining of complex database design processes.
  • Users commend the excellent customer support for ER/Studio, enhancing their experience and troubleshooting efficiency.
Cons
  • Users find the dashboard overwhelming for beginners, which can hinder their initial experience with ER/Studio.
  • Users find the overwhelming dashboard of ER/Studio challenging, especially for those new to the software.
  • Users note the limited database support as it remains client/server based, missing cloud-based integration options.
  • Users find the outdated design of ER/Studio limiting, as it clings to client/server architecture in a cloud-focused world.
  • Users find the dashboard overwhelming, especially for those who are new to the software and its features.

What Are Recent G2 Reviews of ER/Studio?

What Are G2 Users Discussing About ER/Studio?

IBM watsonx.data intelligence

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: 8.8/10)
  • Metadata Management: 8.3/10 (Category avg: 9.0/10)
  • Data Discovery: 8.9/10 (Category avg: 8.9/10)
  • Automation Features: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM watsonx.data intelligence?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 38% Small, 34% Large

What Do G2 Reviewers Say About IBM watsonx.data intelligence?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automation features of IBM watsonx.data intelligence, enhancing understanding of data flow and mitigating risks.
  • Users appreciate the easy visualization of data flows with IBM Manta, enhancing data governance and insights.
  • Users value the easy visualization of data flows with IBM Watsonx.data intelligence, enhancing data governance and insight generation.
  • Users value the ease of use of IBM Watsonx.data intelligence, facilitating seamless data understanding and governance.
  • Users appreciate the efficiency of IBM watsonx.data intelligence, streamlining data processes and enhancing decision-making capabilities.
Cons
  • Users find the complex implementation of IBM watsonx.data intelligence challenging, often needing specialized expertise for setup.
  • Users find the setup complexity of IBM watsonx.data intelligence requires specialized expertise, making implementation challenging.
  • Users find IBM watsonx.data intelligence expensive, with high implementation costs and ongoing financial commitments.
  • Users note that specialized expertise is required for proper implementation, adding to the complexity of setup.
  • Users find the extra costs of IBM watsonx.data intelligence can be significant, making it less accessible for some.

What Are Recent G2 Reviews of IBM watsonx.data intelligence?

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