apache/kylin
Apache Kylin observed · 2026-08-28
Health v2 · maintenance only
64/100
- Activity 92
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 190
- age_days: 4260
- days_rel: 514
- days_push: 48
- n_releases_24m: 2
Adoption not part of the score
3773 stars · 1504 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Apache Kylin is an open-source distributed OLAP engine for big data that delivers sub-second query latency on trillions of records. It provides a unified big data warehouse architecture with seamless BI tool integration, native compute via Gluten-ClickHouse, and streaming-batch hybrid analysis.
Use cases
- run sub-second OLAP queries over trillions of rows
- serve high-concurrency analytics dashboards from a big data warehouse
- analyze streaming and batch data together with Kafka fusion models
- auto-generate models and indexes from query history
- connect BI tools like Tableau to a fast analytical backend
When to choose
- you need sub-second latency on very large fact tables
- you want a unified lakehouse + OLAP warehouse on Spark
- your BI users need high-concurrency dashboard queries
When to avoid
- you need a lightweight embedded analytics database
- your data volume is small enough for Postgres or DuckDB
- you cannot operate a JVM-based distributed cluster
Facets
application · maturity stable
database search-engine analytics data-visualization big-data analytics databases jvm cloud olap data-warehouse sub-second-queries apache bi-integration spark kafka lakehouse data-engineering linux docker
1 source
- readme: https://github.com/apache/kylin · fetched 2026-08-28 · 7ab8aeb206b7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apache/kylin | main | 64 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem