kairosdb/kairosdb
Fast scalable time series database observed · 2026-08-28
Health v2 · maintenance only
54/100
- Activity 70
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4957
- days_rel: n/a
- days_push: 181
- n_releases_24m: 0
Adoption not part of the score
1762 stars · 340 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
KairosDB is a fast, distributed, scalable time series database written in Java and built on top of Cassandra. It stores and queries metrics data at scale and ships with a Helm chart for Kubernetes deployment.
Use cases
- store time series metrics from servers and applications
- query high-volume monitoring data at scale
- run a scalable metrics backend on Cassandra
- deploy a time series database in Kubernetes
- replace OpenTSDB for metric storage
When to choose
- you need a distributed time series store backed by Cassandra
- you ingest large volumes of metrics and need horizontal scalability
- you want a self-hosted OpenTSDB-like alternative
When to avoid
- you need a simple single-node metrics store without Cassandra operations overhead
- you want built-in long-term analytics or SQL querying
- your team cannot operate Cassandra clusters
Facets
service · maturity active
database monitoring analytics databases monitoring big-data analytics jvm self-hosted time-series-database cassandra metrics-storage distributed docker kubernetes
1 source
- readme: https://github.com/kairosdb/kairosdb · fetched 2026-08-28 · 00d2004c3a3c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| kairosdb/kairosdb | main | 54 |
For agents
markdown · JSON · MCP: product_card(name="kairosdb/kairosdb")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem