Data lakehouse startup Onehouse emerged from stealth with its cloud-native managed service based on Apache Hudi that makes data lakes easier, faster and cheaper. The company raised $8 million in seed funding co-led by Greylock and Addition. Onehouse plans to use the money for its managed lakehouse product and to further the research and development on Apache Hudi.

Onehouse streamlines the adoption of the lakehouse architecture, by offering a fully-managed cloud-native service that quickly ingests, self-manages and auto-optimizes data.

Instead of creating yet another vertically integrated data and query stack, it provides one interoperable and truly open data layer that accelerates workloads across all popular data lake query engines like Apache Spark, Trino, Presto and even cloud warehouses as external tables.

Onehouse founder and CEO Vinoth Chandar said: “While a warehouse can just be ‘used’, a lakehouse still needs to be ‘built’. Having worked with many organizations on that journey for four years in the Apache Hudi community, we believe Onehouse will enable easy adoption of data lakes and future-proof the data architecture for machine learning/data science down the line.”