About ZeptoDB

Mission

Make microsecond-latency time-series analytics accessible to every team — not just those with $100K+ database budgets.

The time-series database market has a gap:

kdb+ delivers microsecond performance but costs $100K+/year and requires learning a proprietary language (q)
ClickHouse, TimescaleDB, InfluxDB are affordable but operate at millisecond latency — 100-1000x slower for real-time workloads
None offer zero-copy Python integration for ML pipelines

ZeptoDB closes this gap: kdb+-class performance, standard SQL, Python zero-copy, open source.

Zero-copy everywhere — data flows from network to column store to Python without copying
LLVM JIT — queries compile to native code, not interpreted
SIMD-first — Highway library for portable AVX2/512/NEON vectorization
Lock-free ingestion — MPMC ring buffer, no mutex on the hot path
SQL, not DSL — standard SQL with temporal extensions (ASOF JOIN, xbar, EMA)