High-performance data warehouse
Handle batch, real-time, time-series, and ad hoc queries with high throughput and low cost—in the cloud or on-prem.
Trusted by
Distributed analytics face a performance gap
Over the past decade, CPUs have evolved from having 4–8 cores to featuring over 100 cores. However, memory bandwidth growth hasn't kept up.
As a result, date warehouse providers struggle to improve cost efficiency.
Oxla minimizes data transfer between CPU and RAM
Input/Output
A distributed cache reduces storage requests.
A custom data format enhances data locality.
Networking
Adaptive query pipelines handle all operation variants.
Execution strategies are chosen at runtime for optimal performance.
Memory & Data Efficiency
Compressed data and user-space storage caches reduce memory overhead.
Optimized hashmaps and hybrid row/column formats improve data locality.
Temporal access patterns ensure data remains available and isn’t evicted prematurely.
Run multidimensional queries extremely fast
Oxla’s radically vectorized MMP query engine quickly executes queries involving multiple JOINs and GROUP BY operations with minimal CPU usage, reducing compute costs by up to 90% compared to leading data warehouses.
Multi-node architecture
Decoupled storage & compute
High concurrency support
Columnar data storage
Star & snowflake schemas
Optimized data format
Run multidimensional queries on large datasets fast
Oxla’s radically vectorized MMP query engine quickly executes queries with multiple JOINs and GROUP BYs on massive datasets with minimal CPU usage, reducing compute costs by up to 90% compared to leading data warehouses.
Multi-node architecture
Decoupled storage & compute
High concurrency support
Columnar data storage
Star & snowflake schemas
Optimized data format
Streaming & time-series at scale
Real-time analytics
Real-time data ingestion & processing
Scales for high-velocity data streams
Enables monitoring for anomalies
High availability & fault tolerance
Time-series analytics
Stores & analyzes sequential data
Advanced time-based aggregations
Supports highly granular data streams
Efficient storage & compression
Enjoy PostgreSQL compatibility
Oxla's SQL dialect only minimally differs from PostgreSQL, so you can get started right away.
