--- 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: '2026-09-28' 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 Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users find DataHub **easy to use** , enhancing data management and organization while simplifying complex data processes. (3 reviews) - Users value the **connectivity** of DataHub, appreciating its ability to integrate with numerous tools effortlessly. (2 reviews) - Users appreciate the **ease of use and accessibility** of DataHub as an open-source data catalog tool. (2 reviews) - Users value the **accuracy** of DataHub, which simplifies understanding complex data lineage effectively. (1 reviews) - Users value the **affordability** of DataHub, appreciating its free and open-source nature for diverse tools. (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 report **integration issues** with DataHub, particularly lacking support for DBT and data quality tests. (2 reviews) - Users face **dependency issues** with DataHub, requiring significant effort from data owners who may lack motivation. (1 reviews) - Users find the **difficult interface** of DataHub can be clunky, impacting their overall user experience. (1 reviews) - Users express concerns over the **lack of features** in DataHub, particularly in data quality testing and dbt support. (1 reviews) - Users experience **performance issues with large datasets** , which can slow down operations and complicate usage. (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 and Efficient Tool! **Rating:** 4.5/5.0 stars **Reviewed by:** Kessie M. | Data Entry Specialist - VA, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** January 29, 2025 **What do you like best about DataHub?** DataHub is simple to use and helps keep my data organized. It’s great for sharing and managing datasets, and the version control is a big plus. I’d definitely recommend it! **What do you dislike about DataHub?** Performance with Large Datasets: Sometimes, handling really large datasets can slow things down or be more cumbersome than expected. **What problems is DataHub solving and how is that benefiting you?** It’s great for keeping track of datasets, making it easy to find and access data across teams or organizations. It’s likely helping me manage my data in a more organized and collaborative way. ### 2. Easy to use data Catalog tool **Rating:** 4.0/5.0 stars **Reviewed by:** Siddharth N. | Senior Consultant, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **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. ### 3. Finding Lineage in easy and Best Way **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** March 24, 2023 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about DataHub?** Ease of use and Connectivity with 3rd Party Tools **What do you dislike about DataHub?** Nothing as Serious, but integration with more analytics tools will be added advantage **What problems is DataHub solving and how is that benefiting you?** Recording Lineage ### 4. Great open source for starters **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** October 31, 2023 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **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 ### 5. 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.) **Validated Reviewer:** Validated through Google using a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **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' ### 6. Sweet spot between features and pricing **Rating:** 5.0/5.0 stars **Reviewed by:** Ada D. | Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through Google using a business email account **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 02, 2023 **What do you like best about DataHub?** When we were tasked with choosing a data cataloging solution, we compared several different companies, and no competitor came close to Acryl. Other solutions had slightly more features but came with a significantly higher cost and weren't open-source. **What do you dislike about DataHub?** The UI can feel clunky sometimes, but I appreciate how difficult it is to build a general-purpose UI to display datasets from so many different possible sources. **What problems is DataHub solving and how is that benefiting you?** Acryl hosts our DataHub instance that we use for all of our data cataloging and data governance needs. We've gone from a hodgepodge of tracking and documentation stores to a one-stop shop containing everything. ### 7. Datahub for metadata sourcing **Rating:** 4.5/5.0 stars **Reviewed by:** Aditya K. | Lead Software Engineer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 17, 2022 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about DataHub?** Datahub is opensource so you do not have pay for any licence. Datahub is by far the best for metadata analysis and lineage because it supports applications from different stack (both opensource and paid) and you can capture and analyse metadata, create lineages under a single ui. The ones that we have integrated with Datahub is spark, kafka , mongoDB, psql, elasticsearch,hive, big query and oracle **What do you dislike about DataHub?** So far, i have not found anything to dislike as this solution basically overcomes the limitations of other data governance services like Atlas, Cloudera Navigator etc. **What problems is DataHub solving and how is that benefiting you?** Single place for governance of multiple services of different stack like spark, kafka , mongoDB, psql, elasticsearch,hive, big query and oracle(refer to the screenshot). Analysing the metadata for audits and creating lineages under one umbrella. ### 8. Datahub review **Rating:** 5.0/5.0 stars **Reviewed by:** Vipin S. | Senior Software Engineer, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **Reviewed Date:** August 18, 2022 **What do you like best about DataHub?** Datahub provides best service to integrate with all your systems and web applications. It's provides ability to make an easy system without any complexity which helps our users to do their day to day activities **What do you dislike about DataHub?** It's hard to find supportive documents and help from the website and sometimes support is not provided within the stipulated SLA which impacts production and ability to deliver **What problems is DataHub solving and how is that benefiting you?** A data hub is a centralized service that connects all of your IT systems, whether they be Web applications, IoT devices, SaaS solutions, or core business platforms, such as CRM or ERP that manages the connections to each of the systems and orchestrates the data flow amongst them - [View DataHub pricing details and edition comparison](https://www.g2.com/products/datahub/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-30+21%3A24%3A42+-0500&secure%5Bsession_id%5D=51294476-5c39-411b-a6fd-c6f451ce0635&secure%5Btoken%5D=6b167860a38460a8f0dc48359be6c344190742503f36a20f8aa38c19b6e01edd&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 (778 reviews) - [GTM Studio - 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