What is DataHub?
DataHub is the modern data catalog and metadata platform designed to tame the complexity of your data ecosystem. It empowers teams, data practitioners, and developers to effortlessly discover, understand, and govern their data assets, enabling informed decision-making and unlocking the full value of your data.
Key Features
DataHub provides essential capabilities to navigate and manage your data landscape effectively:
🔍 Data Discovery: Effortlessly search your entire data ecosystem, including datasets, dashboards, ML models, and raw files. This capability ensures you quickly find the data assets you need, saving valuable time and reducing friction in your workflows.
🛡️ Data Governance: Define clear ownership, track sensitive information like PII, and manage access policies. Data Governance features build trust in your data, helping you meet compliance requirements and ensure responsible data use across your organization.
✅ Data Quality Control: Improve the reliability of your data through metadata tests, assertions, data freshness checks, and data contracts. By integrating quality checks at the metadata level, DataHub helps you identify and address data issues proactively, ensuring downstream processes rely on trustworthy data.
🔌 UI-based Ingestion: Easily set up integrations and bring metadata from various sources into DataHub using its intuitive user interface. This simplifies the initial setup process, allowing you to quickly connect your data tools and start cataloging your assets within minutes.
🛠️ APIs and SDKs: For developers and teams requiring automation and deep integration, DataHub offers a comprehensive suite of APIs and SDKs. This provides the flexibility for programmatic control, enabling custom workflows and seamless integration into existing data pipelines and applications.
Use Cases
Discover how DataHub helps your team in real-world scenarios:
Accelerate Data Analysis: A data analyst needs to find a specific customer dataset for a new report. Using DataHub's Data Discovery, they quickly search, find the relevant table, view its description, check its lineage to understand its origin, and verify its quality score, ensuring they use the correct, reliable data for their analysis.
Ensure Data Compliance: A data steward needs to identify all datasets containing PII to comply with regulations. DataHub's Data Governance features allow them to tag and track PII across their data sources, assign owners, and monitor access, simplifying compliance audits and reducing risk.
Build Trustworthy ML Models: A data scientist is preparing data for a critical machine learning model. They use DataHub to find potential datasets, review data quality checks and assertions defined by data owners, and examine data freshness, gaining confidence that the data they select is accurate and up-to-date, leading to more reliable model performance.
Why Choose DataHub?
As the leading open-source metadata platform, DataHub offers a unique blend of community-driven innovation and robust enterprise-grade features. It's built with developers in mind while providing essential tools for data practitioners. Its capability for AI & Data Context Management is particularly noteworthy, providing the necessary context for AI systems to safely and effectively interact with your data. Backed by a vibrant community of over 13,000 members and adopted by over 3,000 companies, DataHub represents a proven, collaborative approach to modern data management.
Conclusion
DataHub provides the essential framework for organizations to gain control and understanding of their increasingly complex data environments. By centralizing metadata and offering powerful discovery, governance, and quality tools, it empowers your team to leverage the full potential of your data assets.
Learn more about DataHub and explore how it can transform your data operations.
More information on DataHub
Launched
1995-03
Pricing Model
Free
Starting Price
Global Rank
262381
Follow
Month Visit
146.3K
Tech used
Top 5 Countries
16.42%
11.65%
7.76%
6.68%
5.52%
United States
Russia
Korea, Republic of
India
Vietnam
Traffic Sources
4.89%
1.2%
0.17%
6.87%
50.58%
36.3%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
DataHub was manually vetted by our editorial team and was first featured on 2025-06-13.
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