Onehouse: The Universal Data Platform

A Lakehouse is an architectural pattern that combines the best capabilities of a data lake and a data warehouse. Data lakes built on cloud storage like S3 are the cheapest and most flexible ways to store and process your data, but they are challenging to build and operate. Data warehouses are turn-key solutions, offering capabilities traditionally not possible on a lake like transaction support, schema enforcement, and advanced performance optimizations around clustering, indexing, etc.

Now with the emergence of Lakehouse technologies like Apache Hudi, you can unlock the power of a warehouse directly on the lake for orders of magnitude cost savings.

While born from the roots of Apache Hudi and founded by its original creator, Onehouse is not an enterprise fork of Hudi. The Onehouse product and its services leverage OSS Hudi, to offer a data lake platform similar to what companies like Uber have built. We remain fully committed to contributing to and supporting the rapid growth and development of Hudi as the industry leading lakehouse platform.

No, Onehouse offers services that are complementary to Databricks, Snowflake, or any other data warehouse or lake query engine. Our mission is to accelerate your time to adoption of a lakehouse architecture. We focus on foundational data infrastructure that are left out as DIY struggles today in the data lake ecosystem. If you plan to use Databricks, Snowflake, EMR, BigQuery, Athena, Starburst, we can help accelerate and simplify your adoption of these services. Onehouse interoperates with Delta Lake and Apache Iceberg, to better support Databricks and Snowflake queries respectively through the XTable feature.

Onehouse delivers its management services on a data plane inside of your cloud account. Unlike many vendors, this ensures no data ever leaves the trust boundary of your private networks and sensitive production databases are not exposed externally. You maintain ownership of all your data in your personal S3, GCS, or other cloud storage buckets. Onehouse’ commitment to openness is to ensure your data is future-proof. As of this writing, Onehouse is SOC2 Type I compliant. We are also multi-cloud available.

If you have data in RDMS databases, event streams, or even data lost inside data swamps, Onehouse can help you ingest, transform, manage, and make all of your data available in a fully managed lakehouse. Since we don’t build a query engine, we don’t play favorites and focus simply on making your underlying data to be performant and interoperable to any and all query engines.

If you are considering a data lake architecture, to either offload costs from a cloud warehouse or unlock data science, machine learning, Onehouse can provide standardization around how you build your data lake ingestion pipelines and leverage the battle-tested and industry leading technologies like Apache Hudi, to achieve your goals at much reduced cost and efforts.

Onehouse meters how many compute-hours are used to deliver its services and we charge an hourly compute cost based on usage. Connect with our account team to dive deeper into your use case and we can help provide total cost of ownership estimates for you. With our prices, we are proven to significantly lower the cost of your alternative DIY solutions.

If you have large existing Hudi installations and you want help operating them better, Onehouse can offer a limited one-time technical advisory/implementation service. Onehouse engineers and developer advocates are active daily in the Apache Hudi community Slack and Github to answer questions on a best-effort basis.