apache/griffin

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1172 stars · 585 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Griffin is a model-driven data quality service platform for defining, executing, and reporting data quality measures across multiple data systems. It provides a standard process for on-demand examination of data quality in big data environments.

Use cases

• measure data quality across hadoop and spark pipelines
• define and schedule data quality checks for big data
• validate data accuracy and completeness before feeding machine learning models
• monitor data quality for IoT sensor data
• generate data quality reports across multiple data systems

When to choose

• you need a standardized, model-driven data quality framework for big data platforms
• you want on-demand data quality measurement with defined measures, executions, and reports
• your organization runs Spark/Hadoop ecosystems and needs cross-system DQ validation

When to avoid

• you need lightweight data validation in a small application rather than a platform
• your stack does not involve big data systems like Spark or Hadoop
• you need actively evolving features - the project appears to be in maintenance mode

Facets

service · maturity maintenance

monitoring analytics etl data-science big-data analytics databases jvm self-hosted cloud data-quality apache scala spark model-driven data-engineering docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/griffin")