This documentation is for an unreleased version of Apache Paimon. We recommend you use the latest stable version.

Apache Amoro With Paimon #

Apache Amoro(incubating) is a Lakehouse management system built on open data lake formats. Working with compute engines including Flink, Spark, and Trino, Amoro brings pluggable and Table Maintenance features for a Lakehouse to provide out-of-the-box data warehouse experience, and helps data platforms or products easily build infra-decoupled, stream-and-batch-fused and lake-native architecture. AMS(Amoro Management Service) provides Lakehouse management features, like self-optimizing, data expiration, etc. It also provides a unified catalog service for all compute engines, which can also be combined with existing metadata services like HMS(Hive Metastore).

Table Format #

Apache Amoro supports all catalog types supported by paimon, including common catalog: Hadoop, Hive, Glue, JDBC, Nessie and other third-party catalog. Amoro supports all storage types supported by Paimon, including common store: Hadoop, S3, GCS, ECS, OSS, and so on.

In the future, Paimon automatic optimization strategy will be supported, and users can achieve the best balance experience by cooperating with Amoro automatic optimization