Oxla
Przemek Zglinicki is a skilled software developer with a robust background in software engineering. Currently at Oxla since February 2023, Przemek has previously served as a Senior Software Engineer at Mobica, where expertise included developing multi-threaded applications for media file processing and designing thread-safe software architecture. At Fujitsu Poland, Przemek maintained cross-platform file transfer and remote control software, while also managing CI/CD processes on Jenkins. Early career experiences include roles at Ericsson, where internal frameworks were maintained, and various architectural assistant positions. Przemek holds multiple degrees from Lodz University of Technology and the University of Lodz, including a Master's in Structural Engineering and Bachelor's degrees in Applied Mathematics and Computer Science.
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Oxla
Oxla is a high-performance analytical database built to maximize data processing efficiency. As data production continues to grow exponentially, leading data warehouses like Snowflake, Databricks, and BigQuery have become prohibitively expensive for processing terabytes of data due to performance inefficiencies. This is largely because they rely on outdated technology that fails to leverage modern hardware capabilities. The main challenge stems from a disparity: while core counts have increased more than twenty-fold in the past decade, data transfer between RAM and the CPU has slowed by three-fold per CPU clock tick, creating a performance bottleneck. Oxla addresses this bottleneck by deploying an innovative parallelized query engine that optimises data transfer between CPU and RAM. The result is a substantial performance boost, yielding up to 90% reduction in compute costs. By making distributed analytics affordable, we aim to empower companies facing rising data processing costs, unlock previously cost-prohibitive use cases, and democratize data science.