DataHub

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully-managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance - enabling AI & data to work together and bring order to data chaos.

For Data Analysts, developers, data scientists, and automated workflows:

Easily find trusted datasets with the most current data

- Access data where you work with a chrome extension for BI tools

- Discover data your way - personalization for multiple business and technical user profiles

- Support AI models and automations with a metadata graph that keeps up with today's data volume and velocity

- Understand data provenance with table, column, and job level lineage graphs

- Auto-enrich metadata with no-code automation

- Use AI-generated documentation and propagation to better understand context

- Always stay up-to-date with subscriptions to assets, activity and notifications

For Data Engineers:

Deliver reliable data quality

- Provide end-to-end observability with user-created data quality checks and reports

- Surface data quality results and impact analysis across all points in lineage

- Monitor freshness SLAs, data volume, table schemas, column quality, and custom SQL

- Use AI Anomaly Detection for freshness, volume, and column stats

- Easily keep an eye on data quality with assertions and AI-based smart assertions

- Evaluate data contracts and quality checks on-demand with API

- Get notified where you work (slack, email, and more)

- Easily manage data quality with a data health dashboard

For Data Governance:

Ensure continuous AI & data governance in production versus episodic compliance checks

- Ensure every AI & data asset is accounted for by defining and enforcing documentation standards

- Integrate governance practices early with automated shift-left governance

- Automatically classify your data as it moves and transforms with lineage-driven compliance

- Keep tags harmonized with seamless metadata flow between DataHub and source systems

- Deliver continuous compliance monitoring with forms, impact analysis, and reporting

- Create and implement bespoke compliance approval workflows