Onehouse 2025 Year in Review

In 2025, Onehouse underwent a transformative year by shifting its focus from merely enabling open data to taking responsibility for making it operationally successful. The company recognized that while open table formats and lakehouse architectures were industry standards, the practical implementation had challenges such as cost unpredictability, performance variability, and metadata management issues. To address these, Onehouse launched the Onehouse Compute Runtime (OCR), enhancing compute management across its services, and introduced Open Engines, allowing flexibility in choosing compute engines like Trino, Flink, or Ray. The new Quanton execution engine improved cost and performance efficiency for Spark jobs, while OneFlow redefined their data ingestion capabilities. Additionally, Onehouse embraced open formats like Apache Iceberg and Hudi, ensuring cost-effective and high-performance data processing. The company also launched Onehouse Notebooks, providing interactive PySpark capabilities with cost control and infrastructure management. Throughout the year, Onehouse's progress was driven by a dedicated team focused on solving complex problems with accountability and speed, setting a strong foundation for continued innovation in open data platforms in 2026.