Scale your warehouse, not your infra, for low-latency analytics on growing datasets. Simple self-hosting, predictable costs. Runs on-prem or in any cloud.
At scale, long-term cloud compute costs outweigh short-term cost savings on infrastructure.
Regulated industries need full control over data beyond VPC and BYOC deployments.
Modern open-source OLAP is cloud-first, making self-hosting impractical due to engineering overhead.
Oxla outperforms both legacy and cloud warehouses through efficiency, enabling scale with predictable costs.
Run large-scale, low-latency analytics across diverse workloads in one DWH.
Easily deploy, run, and maintain Oxla with Docker and YAML, even on limited infra.
The single-node Developer Edition runs locally, so why not give it a try?
Ingest CSV, ORC, Parquet, and JSON blazingly fast. With up to 95% data compression, you won’t have to worry about storage or purging.
Oxla’s radically vectorized MPP query engine handles multi-way JOINs and GROUP BYs with minimal CPU usage and efficient RAM consumption.
Power real-time BI dashboards, process log data, support time-series analytics, and run exploratory queries at terabyte scale, all in one solution, so you can simplify your stack.
x86 64bit CPU (Intel/AMD/ARM)
Linux OS
Docker
PostgreSQL Client 14
One node per machine
SSH access for all machines
One network per deployment
Configure leader and follower nodes
Oxla is wire-compatible with PostgreSQL, so you can plug it into your stack and start querying immediately.
Plug Oxla into your stack with built-in connectors.
Set up a chat with our team to explore whether Oxla is the right fit for your data warehousing needs.