Query, compute, table format, storage, security and operations — integrated into one platform, deployed and supported as one. Every layer is open technology, and any layer can be replaced independently.
Select a layer on the left to see what Hare provides there.
Iceberg, Trino and Spark are open-source projects you could deploy yourself. The real work is turning them into a platform that is stable, secure and easy to operate — and that is what Hare delivers.
Once data is in Hare, reports, SQL, notebooks and AI all read the same tables — no more copying and syncing data for every tool.
Hare applies access rules by identity in real time: which rows are visible, which columns are masked, and every query is logged. Switch roles on the left to try it.
A reference configuration for a mid-sized deployment; actual sizing follows your assessment. Runs on bare metal, virtualization platforms and fully air-gapped environments.
Hare ships with monitoring and alerting dashboards: Trino queries, queues and memory; MinIO capacity, traffic and health — visible in real time, with proactive alerts. Use the tabs to switch dashboards.
* A recreation of the actual operations dashboards; data is simulated.
The components are free, but version matching, deployment, access integration, monitoring and future upgrades are all on you. Hare integrates and maintains all of this, with direct support from our Taiwan-based team.
No. Hare runs alongside existing systems. A single query entry point reaches data on both sides, and workloads move over step by step in priority order — current services keep running.
Hare speaks standard SQL, and BI tools connect directly over JDBC / ODBC. Most queries work as-is; differences are limited to a few functions and syntax details. We inventory your existing SQL first and quantify the changes.
No. Hare works with any S3-compatible object storage — existing storage systems or cloud object storage. We recommend MinIO for new on-prem deployments, but it is not a required component of Hare.
Yes. Hare supports air-gapped deployment; all components and updates can be installed offline.
It depends on data volume and use cases. You can start small with management, compute and storage nodes and expand online as load and capacity grow — no need to buy everything up front.
Day-to-day work is still SQL and familiar BI tools; operations center on the monitoring dashboards. We provide training and runbooks, and keep supporting you after handover.
We size capacity based on your data volume and use cases.