Our second patent covers a novel approach to using hash tables for processing queries.
For data engineers, this means faster queries, lower infrastructure costs, and a more efficient way to handle datasets at terabyte scale and beyond.
#dataengineering #dataanalytics #database
The scalable self-hosted query engine
Product: oxla.com/product
Docs: docs.oxla.com
Blog: oxla.com/blog
- On-prem OLAP shouldn’t come with cloud-native complexity. But most modern OLAP systems were built for the cloud. Oxla is different. A recent customer POC? Expected setup: 2 weeks. Actual: 17 minutes on a call with our support engineer. #datawarehouse #OLAP #dataengineering
- Can you really own data in your cloud warehouse? Even with regional hosting, the CLOUD Act lets U.S. authorities request data from AWS, GCP, or Azure regardless of location. For real control, on-prem is the best option, and it doesn't mean sacrificing scalability or performance
- Cloud warehousing seems fair—pay for what you use, no infra worries. But you're paying a steep premium on overpriced public cloud compute. CPUs got faster and cheaper. Cloud prices barely budged. Self-hosting is simpler (and cheaper) than you'd think #analytics #OLAP #database
- For over a decade, cloud data warehousing has promised ease of use, elasticity, and cost-effectiveness. But it’s not a silver bullet. Find out why we're building for on-prem on our blog (see below)

