Ultra-efficient
OLAP engine

Run batch, real-time, time-series, and ad hoc queries with high throughput and low cost. Self-host on-prem or in any cloud.

Problem

Large-scale analytics face a performance gap

Over the past decade, CPUs have scaled from 4–8 cores to over 100, but memory bandwidth hasn’t kept up.

As a result, OLAP providers struggle to improve cost efficiency.

Solution

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.

Capabilities

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

Capabilities

Run multidimensional queries on large datasets fast

Oxla’s radically vectorized MMP query engine quickly executes queries involving multiple JOINs and GROUP BY operations with minimal CPU usage and optimal RAM consumption.

Single-node or multi-node

Decoupled storage & compute

Time-series support

Columnar data storage

Star & snowflake schemas

Optimized data format

Capabilities

Simple, flexible deployment

Single-node

x86 64bit CPU (Intel/AMD/ARM)

Linux OS

Docker

PostgreSQL Client 14

Multi-node

One node per machine

SSH access for all machines

One network per deployment

Configure leader and follower nodes

Capabilities

Enjoy PostgreSQL compatibility

Oxla is wire-compatible with PostgreSQL, so you can plug it into your stack and start querying right away.

Integrations

Growing ecosystem

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

Visualization

Run queries from BI & observability tools

Stream data in real time for monitoring & live analytics

Storage & ingestion

Ingest ORC, Parquet, JSON and CSV files from storage

Orchestrate data ingestion with Apache Airflow

Languages

Run queries using native language libraries

Build your own integrations and custom pipelines

Let’s discuss your use case

Start modernizing your on-prem analytics stack—chat with our team to see if Oxla is the right fit.