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Apache Griffin

Open source data quality solution for distributed data systems, providing unified process for measuring data quality.

Open Source
1K+ users
Free
Author: Paul Huston
Overview

Apache Griffin is an open source data quality solution for distributed data systems. It provides a unified process for measuring data quality from different perspectives, helping organizations ensure data accuracy, completeness, validity, and consistency across their big data ecosystems.

As part of the Apache Software Foundation, Griffin is designed to work seamlessly with other Apache projects like Spark, Hadoop, and Kafka. It's particularly well-suited for organizations already invested in the Apache ecosystem and provides both batch and streaming data quality measurement capabilities.

Griffin was originally developed by eBay and donated to the Apache Software Foundation in 2016. It has since evolved into a comprehensive data quality platform that supports various data quality dimensions and provides flexible rule definition capabilities.

Key Features

Multi-dimensional Quality Metrics

Accuracy, completeness, validity, timeliness, and consistency measurements

Batch and Streaming Support

Real-time and batch data quality assessment capabilities

Apache Ecosystem Integration

Native integration with Spark, Hadoop, Hive, and Kafka

Flexible Rule Engine

Customizable data quality rules using SQL-like expressions

Web-based Dashboard

Intuitive UI for monitoring and managing data quality metrics

RESTful APIs

Programmatic access for integration with other systems

Advantages
  • Completely free and open source
  • Strong integration with Apache ecosystem
  • Supports both batch and streaming data processing
  • Scalable architecture for big data environments
  • Active Apache community support
  • Flexible and extensible architecture
Things to be aware of
  • Requires significant technical expertise to set up and maintain
  • Limited documentation and learning resources
  • No commercial support available
  • Slower development pace compared to commercial alternatives
  • UI could be more modern and user-friendly
  • Limited advanced analytics and ML capabilities
Best For

Apache Ecosystem Users

Organizations using Spark, Hadoop, and other Apache tools

Big Data Teams

Teams working with large-scale distributed data systems

Technical Teams

Organizations with strong technical capabilities

Customer Success Story

eBay Core Data

E-commerce

"Apache Griffin enables real-time scoring and data quality measurement across our core data systems, helping us maintain data accuracy for millions of transactions daily."

Source: innovation.ebayinc.com