The company's new products include Onehouse LakeView, a free tool providing insights into lakehouse functionality, and Table Optimizer, a managed cloud service that optimizes existing tables to expedite data ingestion and transformation. Onehouse aims to differentiate itself in the competitive data management market by offering an "open and interoperable" system that avoids vendor lock-in, making a single copy of data universally accessible from various platforms.
Key takeaways:
- Onehouse, a Californian startup founded by Vinoth Chandar, is capitalizing on the demand for AI computing power and data infrastructure. The company builds on the open source Apache Hudi project, which brings the benefits of data warehouses to data lakes, creating a “data lakehouse.”
- Onehouse has raised $35 million in a Series B round of funding as it brings two new products to market to improve Hudi’s performance and reduce cloud storage and processing costs.
- Onehouse offers a fully-managed, cloud-native platform that ingests, transforms and optimizes the data in a fraction of the time, with broad interoperability with all major cloud-native services, warehouses and data lake engines.
- The company is expanding its platform with a free tool called Onehouse LakeView, which provides observability into lakehouse functionality for insights on table stats, trends, file sizes, timeline history and more. It is also debuting a new product called Table Optimizer, a managed cloud service that optimizes existing tables to expedite data ingestion and transformation.