Build your modern
data warehouse on-prem

Purpose-built for compute and memory efficiency, Oxla is a self-hosted data warehouse for large-scale, time-series, and real-time analytics.

Talk to an engineer

Performance

Ultra-efficient query engine

Designed from the ground up for performance at scale, Oxla’s radically vectorized MMP (massively parallel processing) query engine runs compute-intensive queries with minimal CPU usage across varied workloads.

Simplify your data analytics stack

Replace specialized real-time and time-series tools with a single, versatile database and query engine.

Faster queries
without tuning

Get subsecond latency—no performance tuning, materialized views, or projections needed.

Wire-compatible with PostgreSQL

Oxla speaks Postgres-style SQL, so you can plug it into your stack and start querying right away.

Reduce total cost of ownership

Get more out of your existing hardware and delay expensive upgrades to cut costs and maximize ROI.

Integrations

Readily integrate with your stack

Easily implement Oxla in your data environment with out-of-the-box integrations.

Testimonial

An engineer’s take on Oxla

As the first investor, I placed my bets on Oxla’s radical approach to performance in the competitive OLAP space. 4 years later I’m beyond impressed by the team’s hard work building a database and query engine that leverage modern hardware capabilities.