Sub-second analytics on billions of rows, cloud-agnostic
Data engineers need a horizontally scalable, columnar analytics database that can run sub-second aggregation queries on billions of rows with distributed joins. Existing options like MemSQL, Crate.io, and Citus are either costly, have import bugs, or are locked to specific clouds. A managed or self-hosted solution that offers open-source flexibility, easy data ingestion, and predictable scaling would fill this gap.
- Corroboration
- 1×
- Sources
- 1
- Category
- Dev Tools / SaaS Infrastructure
- Found on
- stackoverflow
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