apache/amoro

Health v2 · maintenance only

Adoption not part of the score

1171 stars · 395 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Amoro (incubating) is a Lakehouse management system built on open data lake formats like Iceberg, Paimon, and Mixed-Hive. It provides a unified catalog service, self-optimizing table maintenance, and management tools that work with Flink, Spark, and Trino compute engines.

Use cases

• manage iceberg tables across flink spark and trino
• automatically compact small files in a data lake
• unified catalog service for multiple compute engines
• build a lakehouse with stream and batch fusion
• expire old data and reduce lake storage costs
• cdc ingestion into lakehouse tables
• deploy lakehouse management on kubernetes

When to choose

• you use multiple table formats (Iceberg, Paimon, Mixed-Hive) and want unified management
• you need automatic table optimization like compaction, sorting, and deduplication
• you want a single catalog for Flink, Spark, and Trino
• you need real-time CDC ingestion with millisecond-to-second SLAs via LogStore

When to avoid

• you only use a single engine with native Iceberg tooling and need no extra management layer
• you need a fully graduated Apache top-level project with guaranteed stability
• your stack is outside the JVM/Hadoop ecosystem
• you want a lightweight embedded library rather than a deployed management service

Facets

service · maturity active

database etl streaming workflow-automation monitoring big-data databases analytics jvm self-hosted cloud lakehouse iceberg paimon hudi table-format catalog-service self-optimizing flink spark trino data-lake apache-incubator data-engineering docker kubernetes

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/amoro")