# alibaba/tair

A distributed key-value storage system developed by Alibaba Group

Repository: https://github.com/alibaba/tair
Canonical: https://ross.abutalabs.com/products/tair
Language: C++
License: GPL-2.0
License Family: copyleft
Last push: 2019-11-19T03:53:09+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5088, "days_push": 2479, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2312, forks 609 (observed 2026-08-28T04:06:36.563342+00:00)

## What it is
Tair is a distributed key-value storage system developed by Alibaba, offering fast in-memory (MDB) and persistent (LDB) storage engines. It uses a cluster architecture with ConfigServers and DataServers to provide high availability, load balancing, and elastic scaling of capacity and throughput.

## Use cases
- run a distributed key-value cache cluster
- self-host a redis-compatible nosql store
- scale cache capacity and qps elastically
- store persistent key-value data with high availability
- migrate and rebalance data across storage nodes automatically

## When to choose
- you need a highly available, horizontally scalable key-value store
- you want both in-memory and persistent storage engines
- you need automatic failover and data migration in a cache cluster

## When to avoid
- you need a simple single-node cache
- you require active community development and recent releases
- gpl-2.0 licensing is incompatible with your project

## Facets
- artifact type: service
- maturity: maintenance
- function: database, caching, message-queue
- domain: databases, microservices, cloud-computing
- platform: cpp, self-hosted
- tags: key-value-store, redis-compatible, distributed-cache, alibaba, nosql, linux

## Member repositories
- alibaba/tair (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:36.563342+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 2026-08-30T02:39:30.108226+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/tair (fetched 2026-08-28T04:06:36.563342+00:00, sha 6a36eb63eabe)
- Data as of 2026-08-30T08:39:29.467469+00:00.