A high-performance analytical database built for superior throughput, reducing compute costs by up to 90%.
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.
Leverage Oxla’s efficiency for distributed analytics with real-time and time-series capabilities built in.
Oxla is optimized for memory-intensive tasks, so you can execute complex joins on huge datasets fast.
Oxla's SQL dialect only minimally differs from PostgreSQL, so you can get started right away.
Oxla’s query engine reduces compute costs by up to 90% compared to modern data warehouses.
Easily implement Oxla in your data environment with out-of-the-box integrations.
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.
Install Oxla for Linux using Docker and connect with PostgreSQL client to experience the efficiency of a single node on your machine.