Ingest and transform data in minutes, at a fraction of the cost. Store your data in an auto-optimized, open source data lakehouse to power all of your analytics and AI use cases. Query anywhere.
The fastest ingestion of all your data into Apache Hudi, Apache Iceberg, and Delta Lake tables in your cloud storage. Onehouse ingestion delivers industry leading performance at a fraction of the cost thanks to incremental processing.
Eliminate data lakehouse format friction. Work seamlessly across Apache Hudi, Apache Iceberg, and Delta Lake.
Transform data with industry-leading incremental processing technology for ETL/ELT to deliver data in near real-time.
No maintenance required. Onehouse manages everything your pipelines need, from core infrastructure to automatic optimizations.
Query anywhere. With your data stored in open table formats in your cloud account, Onehouse frees you to use any catalog and query engine of your choice.
Onehouse works with a variety of customers from large enterprises to startups who are starting their data journey. We have experience working across all verticals from Technology, Finance, Healthcare, Retail, and beyond. See what customers are doing with Onehouse today:
A Onehouse customer with large deployments of MySQL has many transactional datasets. With Onehouse they extract changelogs and create low-latency CDC pipelines to enable analytics ready Hudi tables on S3.
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An insurance company uses Onehouse to help them generate real-time quotes for customers on their website. Onehouse helped access untapped datasets and reduced the time to generate an insurance quote from days/weeks to < 1 hour.
A large tech SaaS company used Onehouse’s technology to reduce their batch processing times from 3+ hours to under 15 minutes all while saving ~40% on infrastructure costs. Replacing their DIY Spark jobs with a managed service, they can now operate their platform with a single engineer.
A talent marketplace company uses Onehouse to ingest all clickstream events from their mobile apps. They run multi-stage incremental transformation pipelines through Onehouse and query the resulting Hudi tables with BigQuery, Presto, and other analytics tools.
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A Onehouse customer with large deployments of MySQL has many transactional datasets. With Onehouse they extract changelogs and create low-latency CDC pipelines to enable analytics ready Hudi tables on S3.
An insurance company uses Onehouse to help them generate real-time quotes for customers on their website. Onehouse helped access untapped datasets and reduced the time to generate an insurance quote from days/weeks to < 1 hour.
A large tech SaaS company used Onehouse’s technology to reduce their batch processing times from 3+ hours to under 15 minutes all while saving ~40% on infrastructure costs. Replacing their DIY Spark jobs with a managed service, they can now operate their platform with a single engineer.
A talent marketplace company uses Onehouse to ingest all clickstream events from their mobile apps. They run multi-stage incremental transformation pipelines through Onehouse and query the resulting Hudi tables with BigQuery, Presto, and other analytics tools.
You have questions, we have answers
A data lakehouse is an architectural pattern that combines the best capabilities of a data lake and a data warehouse. Data lakes built on cloud storage such as Amazon 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 such as transaction support, schema enforcement, and advanced performance optimizations around clustering, indexing, and more.
Now with the emergence of data lakehouse technologies, 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 has built upon OSS Hudi to offer a data lake platform similar to what companies such as Uber have built, while adding interoperability to support Apache Iceberg and Delta Lake environments, along with many other advanced features to deliver the leading universal data lakehouse.
Onehouse offers services that are complementary to Databricks, Snowflake, and many other popular data warehouse or data lake query engines. Our mission is to accelerate your time to adoption of a lakehouse architecture while reducing your total infrastructure cost and simultaneously enabling you to work with near real-time data. 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, Amazon EMR, Google BigQuery, Amazon Athena, Starburst, or many other popular data infrastructure tools, we can help accelerate and simplify your adoption of these services. Onehouse interoperates with Apache Iceberg and Delta Lake to better support Databricks and Snowflake queries respectivel.
Onehouse delivers its management services on a data plane inside of your cloud account. This ensures no data ever leaves the trust boundary of your private networks, and sensitive production databases are never externally exposed. You maintain ownership of all your data in your personal Amazon S3, Google Cloud Storage, or other cloud storage buckets. Our commitment to openness is to ensure your data is future-proof. As of this writing, Onehouse is SOC2 Type I and Type 2 compliant. We are also multi-cloud available.
If you have data in relational databases, event streams, cloud storage, 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. We don’t have our own query engine, so we don’t play favorites. We focus simply on making your underlying data performant and interoperable for any and all query engines.
If you are considering a data lakehouse architecture to either offload costs from a cloud data warehouse or unlock data science and machine learning, Onehouse can provide standardization around how you build your data ingestion pipelines and leverage battle-tested and industry leading technologies to achieve your goals while dramatically reducing costs and efforts.
Onehouse measures 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 provide total cost of ownership estimates for you. We are proven to significantly lower the cost of alternative approaches by 50% or more.
