# apache/phoenix

Apache Phoenix

Repository: https://github.com/apache/phoenix
Canonical: https://ross.abutalabs.com/products/apache-phoenix
Homepage: https://phoenix.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: phoenix, java, database, sql, hbase
Last push: 2026-08-26T06:45:18+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 67, longevity 100
- inputs: {"age_days": 4473, "days_push": 7, "days_rel": 60, "gap_med": 136.5, "n_releases_24m": 5}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1060, forks 1009 (observed 2026-08-28T04:03:25.638590+00:00)

## What it is
Apache Phoenix is a SQL layer over Apache HBase delivered as a client-embedded JDBC driver, compiling standard SQL queries into low-latency HBase scans. It provides OLTP and operational analytics on Hadoop with ACID transactions, secondary indexing, BSON document support, and change data capture.

## Use cases
- query hbase data with standard sql and jdbc
- run low-latency oltp workloads on hadoop
- add secondary indexes to hbase tables for fast lookups
- stream row-level change events from a table with cdc
- store and query schemaless bson documents alongside relational columns
- build multi-tenant saas applications with tenant isolation
- run etl pipelines integrating hbase with spark and hive
- point dynamodb sdk applications at a self-hosted cluster

## When to choose
- you already run hbase and want sql access with millisecond latency
- you need ACID transactions and secondary indexes over HBase data
- you want operational analytics integrated with the Hadoop ecosystem (Spark, Hive, Pig)
- you need DynamoDB-compatible APIs without AWS lock-in

## When to avoid
- you are starting a greenfield project with no existing HBase investment
- you need a general-purpose standalone SQL database like PostgreSQL
- your workload is pure batch analytics better served by a data warehouse
- you cannot operate an HBase cluster and its operational complexity

## Facets
- artifact type: library
- maturity: active
- function: database, database-driver, search-engine, streaming
- domain: databases, big-data, analytics
- platform: jvm, cloud, self-hosted
- tags: sql, jdbc, hbase, hadoop, nosql, oltp, secondary-indexes, change-data-capture, bson, spark-integration, data-engineering, linux

## Member repositories
- apache/phoenix (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:25.638590+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 2026-08-30T06:56:54.994399+00:00, confidence not recorded.
  - readme: https://github.com/apache/phoenix (fetched 2026-08-28T04:03:25.638590+00:00, sha 90495cd4c31d)
  - homepage: https://phoenix.apache.org/ (fetched 2026-08-29T12:58:48.239148+00:00, sha 4e8cc923c606)
  - site_page: https://phoenix.apache.org/docs (fetched 2026-08-29T12:58:48.248290+00:00, sha 9b37dbc2d642)
  - site_page: https://phoenix.apache.org/docs/integrations/phoenix-dynamodb (fetched 2026-08-29T12:58:48.250207+00:00, sha 8e2802a18183)
  - site_page: https://phoenix.apache.org/docs/features/bson (fetched 2026-08-29T12:58:48.251825+00:00, sha 5b12ebf49e85)
  - site_page: https://phoenix.apache.org/docs/features/change-data-capture (fetched 2026-08-29T12:58:48.253541+00:00, sha d9d12a10668d)
  - site_page: https://phoenix.apache.org/docs/features/eventually-consistent-indexes (fetched 2026-08-29T12:58:48.255982+00:00, sha 7f42e227fd58)
  - site_page: https://phoenix.apache.org/docs/grammar (fetched 2026-08-29T12:58:48.263401+00:00, sha feee7308e73d)
  - site_page: https://phoenix.apache.org/recent-improvements (fetched 2026-08-29T12:58:48.259082+00:00, sha 4bf863709003)
  - site_page: https://phoenix.apache.org/news (fetched 2026-08-29T12:58:48.261483+00:00, sha fe17713aad71)
- Data as of 2026-08-30T08:39:29.467469+00:00.