--- title: DataHub Reviews meta_title: 'DataHub Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how DataHub works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 8 scale: '5' date_modified: '2026-07-17' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # DataHub Reviews **Vendor:** DataHub **Category:** [Data Governance Tools](https://www.g2.com/categories/data-governance-tools) **Average Rating:** 4.4/5.0 **Total Reviews:** 8 ## About DataHub DataHub is an event-driven AI and Data Context Platform designed to unify discovery, governance, and observability across an organization’s entire data estate. Unlike traditional data catalogs, DataHub Cloud offers real-time updates, automatic policy enforcement, and seamless integration with over 100 data sources. This ensures that organizations can maintain data quality, compliance, and AI-readiness at scale, addressing the complexities of modern data management. Targeted at data teams, governance professionals, and AI practitioners, DataHub serves a diverse audience that includes data engineers, analysts, data stewards, and compliance officers. The platform is particularly beneficial for organizations that require a centralized source of truth for all metadata across various environments, such as data warehouses, lakes, business intelligence platforms, machine learning systems, and AI agents. By consolidating data management processes, DataHub enhances collaboration and efficiency within data teams, enabling them to work more effectively. One of the standout features of DataHub is its automated data lineage tracking, which operates down to the column level. This capability allows teams to quickly assess the impact of any upstream changes, facilitating faster debugging of quality issues and helping to avert costly incidents before they escalate to production. Additionally, the platform employs AI-powered functionalities to manage repetitive tasks associated with metadata, such as documentation generation, intelligent glossary classification, and sensitive data tagging. This automation empowers data professionals to concentrate on higher-value activities, thereby increasing overall productivity. For data governance and compliance teams, DataHub offers robust tools for continuous policy enforcement, role-based access controls, and personally identifiable information (PII) detection. The platform is designed to support regulatory standards such as GDPR, HIPAA, and PCI, all while minimizing manual oversight. This ensures that organizations can maintain compliance without the burden of extensive manual processes. Furthermore, for AI and ML teams, DataHub provides the reliable data context essential for developing trustworthy AI agents and models, fostering innovation and improving outcomes. With backing from prominent investors like Bessemer Venture Partners, LinkedIn, and 8VC, DataHub has gained the trust of leading organizations, including Netflix, Visa, Slack, and Pinterest. This widespread adoption underscores the platform's effectiveness in transforming data operations and enhancing the overall data management landscape. For more information, visit datahub.com. ## DataHub Pros & Cons **What users like:** - Users praise the **ease of use** of DataHub, enhancing organization and simplifying data sharing and management. (3 reviews) - Users value the **connectivity with a wide number of tools** , enhancing their productivity and integration capabilities. (2 reviews) - Users value the **ease of use and free access** of DataHub as an open source data catalog tool. (2 reviews) - Users value the **accuracy** of DataHub, finding it simplifies complex data lineage effortlessly. (1 reviews) - Users love the **affordability** of DataHub, appreciating its free and open-source nature for effortless access. (1 reviews) - Data Lineage (1 reviews) - Users love the **easy integrations** of DataHub Cloud, making data sharing and management seamless and efficient. (1 reviews) - Easy Setup (1 reviews) - Users value the **ease of use** and open source nature of DataHub Cloud for managing complex data lineage. (1 reviews) - Free Services (1 reviews) **What users dislike:** - Users struggle with **integration issues** due to insufficient support for DBT and data quality tests in DataHub. (2 reviews) - Users face **dependency issues** as some owners must invest effort, impacting the overall value of DataHub. (1 reviews) - Users find the **difficult interface** of DataHub can be clunky, impacting the overall user experience. (1 reviews) - Users find a **lack of features** , notably missing integrations for data quality tests and dbt support. (1 reviews) - Users find that **performance with large datasets** can slow down operations, making management cumbersome at times. (1 reviews) - Users report **poor UI** that complicates navigation and detracts from overall user experience in DataHub Cloud. (1 reviews) - Users experience **slow performance** when handling large datasets, making the process cumbersome and less efficient. (1 reviews) - User Difficulty (1 reviews) ## DataHub Reviews ### 1. Easy to use data Catalog tool **Rating:** 4.0/5.0 stars **Reviewed by:** Siddharth N. | Senior Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** January 26, 2025 **What do you like best about DataHub?** It's an easy to use open source data catalog tool which helps solves the complex data lineage. **What do you dislike about DataHub?** Lacks support for DBT and test integrations **What problems is DataHub solving and how is that benefiting you?** I am using it for cataloging and tracking the data lineage. ### 2. Great open source for starters **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 31, 2023 **What do you like best about DataHub?** Easy to setup Connected to wide number of tools Free to use - Open source **What do you dislike about DataHub?** - Cannot integrate data quality tests - Support for dbt **What problems is DataHub solving and how is that benefiting you?** - Visualization of all data assets - data governance - data discoverability ### 3. The beginning of deploying Datahub(especially metadata and docs) in our organization **Rating:** 3.5/5.0 stars **Reviewed by:** Or S. | Mid-Market (51-1000 emp.) **Reviewed Date:** July 05, 2023 **What do you like best about DataHub?** I think the UI is making total sense. Almost every dataset from any platform we have looks the same on the UI, which is helping a lot with the adoption of this product. I think that the ability to map every data source and their lineage is extremely important for big organizations and can save lots of time for our employees. **What do you dislike about DataHub?** The thing with Datahub is that you have to put in some amount of time just to see if it can give your users value. and sometimes the work must come from the owners of the data(and not the Datahub owners) who don't necessarily have a clear interest in that work. **What problems is DataHub solving and how is that benefiting you?** Creating one place for our data guidelines/explanations/confluence pages. it saves time for our employees, reduces friction for the owners who created the data and it enables the possibility to enforce future documentations into this 'one place' - [View DataHub pricing details and edition comparison](https://www.g2.com/products/datahub/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+12%3A27%3A29+-0500&secure%5Bsession_id%5D=02f6fa5a-2e65-473a-96b3-1c05051b6e00&secure%5Btoken%5D=558dcb91f5b28710ec721f91800e3239161307dc08560cdac65819c4e01f3f8f&format=llm_user) ## DataHub Features **Data Governance** - User Access Management - Dynamic Data Masking - Data Lineage - Workflow Management **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage - Data Visualization **Data management** - Metadata Management - Automation Features - Collaboration - Data Lineage - Data Discovery **Data Preparation** - Search - Data Quality and Cleansing - Data Transformation - Data Modeling **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Security** - Access Control - Roles Management - Compliance Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata Management **Reporting** - Intelligent Insights - Actionable Insights - Dashboards **Collaboration** - Commenting - Profiling and Classification - Business and Data Glossary - Metadata Management - Master Data Management - Data Storage Management - Data Management **Data Quality** - Data Preparation - Data Unification **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **Generative AI** - AI Text Generation - AI Text Summarization **Additional Functionality** - Metadata Management - Data Lineage - Data Discovery - Data Governance - Data Aggregation - Compliance Management - Search/Filter - AI Copilot - Data Migration - Configurable Workflow - Workflow Management - Archiving & Retention - Policy Metadata Management - Tagging - Third-Party Integrations - Big Data Analytics - Data Security - Metadata Extraction - Data Integration - Dashboard - Generative AI - Data Catalog - Data Profiling - Data Connectors - Data Visualization - Reporting/Analytics - Data Glossary - Data Quality Control - Data Management - Data Sampling - Data Modeling - Data Mapping - Data Dictionary Management - Secure Data Storage - Version Control - Document Database - Access Control **Artificial Intelligence** - Machine Learning Recommendations - Natural Language Query - Automatic Data Cleansing **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching - Real-Time Data **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making - Third-Party Integrations - Active Directory Integration **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Machine Learning Data Catalog** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Decision Making - Third-Party Integrations **Additional Functionality** - Metadata Extraction - Automatic Backup - Search/Filter - Collaboration Tools - Activity Tracking - Authentication - Data Security - Data Mapping - Archiving & Retention - Data Discovery - Data Catalog - Multiple Data Sources - Categorization/Grouping - AI Copilot - Reporting/Analytics - Tagging - Drag & Drop - Activity Dashboard - Role-Based Permissions - Single Sign On - Data Governance - Content Library - Data Synchronization - Data Import/Export - Access Controls/Permissions - Data Visualization - API **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery ## Top DataHub Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (774 reviews) - [GTM Studio - Powered by ZoomInfo](https://www.g2.com/products/gtm-studio-powered-by-zoominfo/reviews) - 4.5/5.0 (3,395 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews)