Slash compute costs for distributed analytics

A high-performance data warehouse built for superior throughput, reducing compute costs by up to 90% in the cloud or on-prem.

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Performance

Ultraefficient 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.

Simplify your data analytics stack

Leverage Oxla’s efficiency for distributed analytics with real-time and time-series capabilities built in.

Run massive JOIN operations quickly

Oxla is optimized for memory-intensive tasks, so you can execute complex joins on huge datasets fast.

Enjoy Postgres compatibility

Oxla's SQL dialect only minimally differs from PostgreSQL, so you can get started right away.

Dramatically slash compute costs

Oxla’s query engine reduces compute costs by up to 90% compared to modern data warehouses.

Integrations

Readily integrate with your stack

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

Testimonials

What engineers say about Oxla

Arkadiusz Czechowski

Senior Software Engineer,
Performante

We needed to move our event database from Postgres to scale real-time processing and eliminate data retention. Oxla proved to be the most cost-effective choice and was surprisingly easy to implement.

As the first investor, I placed my bets on Oxla’s radical approach to performance in the competitive data warehouse space. 4 years later I’m beyond impressed by the team’s hard work building an OLAP DBMS that leverages modern hardware capabilities.