Apache Griffin Insights

What is Apache Griffin?

Apache Griffin is an open-source data quality solution that provides a unified process to measure and improve data quality. It is commonly used to define data quality metrics, measure the accuracy and completeness of data, and monitor data quality over time. It supports various data sources and processing engines, making it a versatile tool for ensuring data reliability and trustworthiness.

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What other technologies are related to Apache Griffin?

Apache Griffin Competitor Technologies

Deequ

Deequ is a library built on top of Apache Spark for defining and verifying data quality metrics, thus competing in the data quality space.

mentioned alongside Apache Griffin in 59% (273) of relevant job posts

Expectations

Expectations focuses on data quality testing and validation, which is a competitive space with Apache Griffin.

mentioned alongside Apache Griffin in 13% (268) of relevant job posts

Apache Griffin Complementary Technologies

Data Lake Infrastructure

Data Lake Infrastructure provides the storage and processing capabilities that Apache Griffin can leverage to perform data quality assessments. Apache Griffin needs access to the data to perform data quality checks.

mentioned alongside Apache Griffin in 50% (64) of relevant job posts

Azure Synapse

Azure Synapse is a data warehouse and analytics service. Apache Griffin can be used to validate the data quality within Azure Synapse pipelines.

mentioned alongside Apache Griffin in 0% (226) of relevant job posts

PySpark

PySpark is the Python API for Apache Spark. Griffin may use Spark, or work with data in Spark, so PySpark can be used for that.

mentioned alongside Apache Griffin in 0% (231) of relevant job posts