Oxla

About Oxla

Oxla is a software company specializing in high-volume analytical data processing, founded in 2020 by Adam Szymański, a Google alumnus and three-time CTO, and later joined by co-founder and CEO Kacper Szcześniak. The initial idea for a new analytical database was conceived by Szymański in 2020, who then brought on Szcześniak, initially as an early investor and later as part of the executive team. Based in Warsaw, Poland, the company has since established a US legal entity in Delaware to support its global expansion. A significant milestone was achieved in October 2024, when Oxla secured $11 million in a seed funding round led by TQ Ventures, with participation from Lead Ventures, Warsaw Equity Group, and 4growth VC. This funding is intended to fuel commercialization and further product development.

The company develops a next-generation OLAP (Online Analytical Processing) database designed for fast and efficient analytical data processing. The core of Oxla's offering is a distributed database platform engineered to execute analytical queries at high speeds, positioning itself as a cost-effective alternative to established data warehouse solutions like Snowflake, Databricks, and ClickHouse. Oxla claims its system can deliver query execution up to ten times faster and reduce costs by as much as 85%. The business model targets clients in data-intensive sectors such as IoT, industrial applications, e-commerce, and cybersecurity. By providing a self-hosted data warehouse, Oxla enables companies to build modern on-prem data solutions, maximizing the use of their existing hardware.

Oxla's product is a high-performance, distributed analytical database built to handle large-scale data processing. Its architecture is designed to be ultra-efficient in compute and memory usage by minimizing data transfer between the CPU and RAM. A key feature is its compatibility with the PostgreSQL wire protocol, which simplifies integration for developers and allows existing tools and libraries to connect with Oxla. The platform is designed to handle complex queries and real-time analytics without requiring extensive performance tuning. This allows businesses to use a single, versatile OLAP engine for various needs, from serving real-time traffic to performing offline analysis. The company's team of database scientists has secured several patents related to data flow control in query engines, highlighting their focus on deep technological development.