Cost-effective analytics DB for billions of rows
80/100 commercial intent90/100 confidenceSelf-hosting
The problem, as people describe it
A data engineer needs a managed or self-hosted analytics database that supports column storage, distributed joins, and sub-second aggregation on multi‑billion‑row tables. Current options like MemSQL, Crate.io, and Citus fall short in cost, scalability, or data ingestion reliability, leading to performance bottlenecks as data grows.
- Corroboration
- 1×
- Sources
- 1
- Category
- Dev Tools / SaaS Infrastructure
- Found on
- stackoverflow
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