DriftDB observes your query patterns, pre-computes results, auto-creates indexes, and adapts its schema in real time — so your app stays fast without you lifting a finger.
DriftDB runs a lightweight ML model alongside your data, continuously optimizing without human intervention.
DriftDB learns which queries run most often and pre-computes their results. Hot paths get served from memory, not disk — transparently.
Drop an index on a hot column and DriftDB accelerates it instantly. Unused indexes are flagged and removed automatically — no more stale bloat.
Add columns, change types, or restructure tables mid-flight. DriftDB migrates data incrementally and serves queries throughout the process.
During low-traffic windows, DriftDB runs what-if analysis on your query plans and pre-allocates resources before traffic spikes arrive.
Multi-version concurrency with serializable isolation guarantees. DriftDB never reads stale data, even under heavy write pressure.
OLAP and OLTP in one engine. Run analytical queries alongside transactional ones without impacting each other's performance.
Real-world benchmarks from production workloads migrated to DriftDB.
"We migrated our 500GB analytics DB to DriftDB and cut our dashboard load time from 4.2s to 890ms — without touching a single query. The auto-indexing alone saved us three sprint weeks."
"DriftDB is the first database I've used that actually gets faster the longer it runs. Our e-commerce platform handles 6× the Black Friday traffic now, no ops involvement."
"The schema evolution feature is magic. We added a JSONB column to a 200M-row table and DriftDB served reads throughout — zero downtime, zero incidents. That used to be a weekend project."
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