AWS Glue for Apache Spark Native support for Data Lake Frameworks (Apache Hudi, Apache Iceberg, Delta Lake)
AWS Glue for Apache Spark now supports three open source data lake storage frameworks: Apache Hudi, Apache Iceberg, and Linux Foundation Delta Lake. These frameworks allow you to read and write data in Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. This feature removes the need to install a separate connector and reduces the configuration steps required to use these frameworks in AWS Glue for Apache Spark jobs.
AWS Glue for Apache Spark now supports three open source data lake storage frameworks: Apache Hudi, Apache Iceberg, and Linux Foundation Delta Lake. These frameworks allow you to read and write data in Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. This feature removes the need to install a separate connector and reduces the configuration steps required to use these frameworks in AWS Glue for Apache Spark jobs.
These open source data lake frameworks simplify incremental data processing in data lakes built on Amazon S3. They enable capabilities including time travel queries, ACID (Atomicity, Consistency, Isolation, Durability) transactions, streaming ingestion, change data capture (CDC), upserts, and deletes.
To learn more, visit our documentation.
This feature is available in all commercial AWS Regions where AWS Glue is available.