Apache Hudi (Incubating) is an open-source data management framework used to simplify incremental data processing and data pipeline development. Apache Hudi enables you to manage data at the record-level in Amazon S3 to simplify Change Data Capture (CDC) and streaming data ingestion, and provides a framework to handle data privacy use cases requiring record level updates and deletes. Data sets managed by Apache Hudi are stored in S3 using open storage formats, and integrations with Presto, Apache Hive, Apache Spark, and AWS Glue Data Catalog give you near real-time access to updated data using familiar tools.
Hudi is integrated with Apache Spark, Apache Hive, and Presto. With Amazon EMR release version 5.28.0 and later, Amazon EMR installs Hudi components by default when Spark, Hive, or Presto are installed. You can use Spark or the Hudi DeltaStreamer utility to create or update Hudi datasets. You can use Hive, Spark, or Presto to query a Hudi dataset interactively or build data processing pipelines using incremental pull. Incremental pull refers to the ability to pull only the data that changed between two actions.