Onehouse, a Menlo Park, CA-based managed data lakehouse company, raised $25M in Series A funding.
The round, which brought the total raised to $33m, was led by Addition and Greylock.
The company intends to use the funds to continue to advance Onehouse and to accelerate growth of the team to meet the market demand.
Led by founder and CEO Vinoth Chandar, Onehouse provides a cloud-native managed lakehouse service that makes data lakes efficient. It lets users take advantage of all the scale, interoperability and cost benefits of data lakehouses built on the popular Apache Hudi open source project, while fully leveraging native performance accelerations in Databricks and Snowflake.
Users securely connect their cloud account and then Onehouse quickly ingests, auto-optimizes and manages powerful incremental ETL pipelines to deliver minute-level analytics on the data lake. Data in Onehouse can then be readily accessed from best-of-breed data warehouse engines (AWS Redshift, Google BigQuery, Snowflake), data lake engines (AWS EMR, Databricks) and interactive analytics engines (Presto, Trino, AWS Athena).
The company is also releasing Onetable so Hudi data lakehouses can fully leverage native performance accelerations in Databricks and Snowflake, by interoperating with their respective open metadata layers Delta Lake and Apache Iceberg.
