# apache/amoro

Apache Amoro(incubating) is a Lakehouse management system built on open data lake formats.

Repository: https://github.com/apache/amoro
Canonical: https://ross.abutalabs.com/products/amoro
Homepage: https://amoro.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: big-data, data-lake, flink, hudi, iceberg, management-system, paimon, spark, trino, lake-house, self-optimizing
Last push: 2026-09-02T14:59:21+00:00

## Health v2 (maintenance only)
Score: 73/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 23, longevity 100
- inputs: {"age_days": 1512, "days_push": 0, "days_rel": 356, "gap_med": 146.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1171, forks 395 (observed 2026-09-03T02:15:09.124717+00:00)

## What it is
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
- artifact type: service
- maturity: active
- function: database, etl, streaming, workflow-automation, monitoring
- domain: big-data, databases, analytics
- platform: jvm, self-hosted, cloud
- tags: lakehouse, iceberg, paimon, hudi, table-format, catalog-service, self-optimizing, flink, spark, trino, data-lake, apache-incubator, data-engineering, docker, kubernetes

## Member repositories
- apache/amoro (main) score 73

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.124717+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:40.697403+00:00, confidence not recorded.
  - readme: https://github.com/apache/amoro (fetched 2026-09-03T02:15:09.124717+00:00, sha 880c530ed95b)
  - homepage: https://amoro.apache.org/ (fetched 2026-08-29T12:34:33.580519+00:00, sha c14477428c99)
  - site_page: https://amoro.apache.org/docs/latest (fetched 2026-08-29T12:34:33.585381+00:00, sha 0114556e2c96)
  - site_page: https://amoro.apache.org/docs/0.8.1 (fetched 2026-08-29T12:34:33.587267+00:00, sha 6a36a4732089)
  - site_page: https://amoro.apache.org/docs/0.8.0 (fetched 2026-08-29T12:34:33.588918+00:00, sha 03042ffda13c)
  - site_page: https://amoro.apache.org/docs/0.7.1 (fetched 2026-08-29T12:34:33.590761+00:00, sha a0eced618578)
  - site_page: https://amoro.apache.org/docs/0.7.0 (fetched 2026-08-29T12:34:33.592604+00:00, sha 37ea92ba76f9)
  - site_page: https://amoro.apache.org/docs/0.6.1 (fetched 2026-08-29T12:34:33.594398+00:00, sha 5884a26757b5)
  - site_page: https://amoro.apache.org//download (fetched 2026-08-29T12:34:33.596626+00:00, sha 63894185e2cd)
  - site_page: https://amoro.apache.org/quick-start (fetched 2026-08-29T12:34:33.583329+00:00, sha 8d200078b649)
- Data as of 2026-08-30T08:39:29.467469+00:00.