An open lakehouse data platform: storage and compute scale independently, every engine works on the same data, and it runs on your own infrastructure — with no vendor lock-in on your data or architecture.
Traditional clusters put compute and storage on the same nodes: whatever you run short of, you buy whole servers — and data takes three times the space. Use the buttons below to see how scaling differs.
Hare: compute and storage scale independentlyEvery layer uses open technology and open formats, connected through standard interfaces. Watch the orange packet travel from applications all the way down to storage.
Prometheus · GrafanaOnce data lands in Hare, SQL, batch jobs, notebooks and AI frameworks all read the same data — no more copies for every tool. On the right: one SQL query spanning Hare and an existing database.
Founded in 2008 in Hsinchu, Taiwan, starting from semiconductor systems. Hare has evolved from 1.0 to the open lakehouse of 3.0. Version testing and fixes are handled by our Taiwan-based team, with support from 5×8 up to 7×24.
Start with an assessment of where you are today — and get a concrete target architecture.
Tell us about your environment — current platform, data volume, what you want to solve — and we will get back to you shortly.
Email aga@is-land.com.tw
Phone +886-3-5630345
Web www.is-land.com.tw