Onehouse.ai

Onehouse is a company that delivers a new bedrock for data through a cloud-native managed lakehouse service. Founded in 2021 by Vinoth Chandar, the original creator of Apache Hudi, Onehouse aims to make data lakes easier, faster, and cheaper by combining the ease of use of a data warehouse with the scale of a data lake. The company's platform empowers enterprises to deploy and manage a world-class data lakehouse in minutes on Apache Hudi, Apache Iceberg, and Delta Lake. Delivered as a fully-managed cloud service in the user's VPC (Virtual Private Cloud), Onehouse offers high-performance ingestion pipelines for minute-level freshness and optimizes tables for maximum query performance. This approach eliminates data format, table format, compute, and catalog lock-ins, offering exceptional ELT (Extract, Load, Transform) and query performance.

Onehouse is built on Apache Hudi and Apache XTable (Incubating), featuring advanced capabilities such as indexing, ACID transactions, and time travel, ensuring consistent data across all downstream query engines and tools. The platform's unique incremental processing capabilities deliver unmatched ELT cost and performance by minimizing data movement and optimizing resource usage. Onehouse provides a self-managing data layer that seamlessly interoperates with any query engine, enabling businesses to gain access to a data warehouse with the cost and scale advantages of a data lake, which also automatically ingests, manages, and optimizes data for faster processing. The company emphasizes a "#nolockin" philosophy to future-proof any stack, offering 24/7 reliability, immediate cost savings, and open access for all major tools and query engines. Onehouse allows users to ingest at scale with minute-level freshness, transform data incrementally, and keep tables automatically optimized for performance. It is designed to accelerate data ingestion, optimize lakehouse tables, enable fast data preparation for warehouses, and supercharge Hudi lakehouses. Recently, Onehouse launched Compute Runtime to accelerate workloads across major cloud query engines and introduced a vector embeddings generator to automate embeddings pipelines.