DataHub | Modern Data Catalog & Metadata Platform

Key Features

• Conversational Data Discovery

  An AI chat agent designed to help users find trusted data through natural language questions.

• Automated Metadata Ingestion

  Supports the automatic capture of schema changes and usage patterns via over 130 integrations.

• Column-Level Lineage Tracking

  Traces data flows from source systems through transformations to downstream applications and AI models.

• Data Quality Monitoring

  Supports the use of assertions and metadata tests to monitor data freshness, schema stability, and null rates.

• Automated PII Classification

  Analyzes column names and values to suggest classifications for sensitive data, which may help with GDPR and CCPA compliance.

• Data Contract Enforcement

  Allows teams to bundle assertions into contracts to catch data violations in real time.

Use Cases

• Data Asset Discovery

  Helping analysts and scientists find reliable datasets, dashboards, and ML models across fragmented systems.

• Impact Analysis

  Using column-level lineage to identify which downstream reports or models may be affected by a schema change.

• Compliance Auditing

  Automating the identification and tagging of PII to support regulatory requirements.

• Infrastructure Cost Review

  Identifying unused pipelines and redundant tables through usage tracking to help reduce storage and compute waste.

• AI Workflow Support

  Managing feature stores and training dataset metadata to support machine learning development cycles.

Integrations

• Snowflake
• Databricks
• dbt
• Airflow
• AWS Athena
• BigQuery
• Azure SQL
• PostgreSQL
• MySQL
• Kafka
• Tableau
• Looker
• Power BI
• Slack

FAQ

What is DataHub used for?

DataHub is used to discover, understand, and govern data assets across an organization, providing a central place to track data lineage and quality.

Does DataHub support AI and machine learning workflows?

Yes, it supports AI workflows through feature store management and by providing metadata context for ML models and training datasets.

Can DataHub help with GDPR or CCPA compliance?

DataHub includes automated PII classification and lineage tracking, which may help teams identify and monitor sensitive data for compliance audits.

What are the deployment options for DataHub?

Organizations can choose between the open-source version, which they manage themselves, or a fully managed Cloud version.