Announcing Apache Spark™ and SQL on the Onehouse Compute Runtime with Quanton
Blog post from Onehouse
Onehouse has introduced Quanton, a new query execution engine designed to improve the price-performance of ETL workloads by 2-3 times compared to existing solutions. Integrated into the Onehouse Compute Runtime, Quanton allows users to run Apache Spark and SQL jobs more efficiently, offering significant cost reductions for Apache Hudi and SQL ETL workloads without requiring code changes. The platform promotes a Universal Data Lakehouse approach, supporting open table formats like Apache Hudi, Iceberg, and Delta Lake, and enabling interoperability with various data engines such as Databricks and Trino. Quanton is engineered to optimize compute and storage resources by minimizing the quantum of work in ETL processes, making it a cost-effective alternative to traditional data platforms. It also facilitates seamless integration and management of Spark and SQL pipelines, ensuring improved performance, compatibility, and cost transparency while avoiding vendor lock-in.
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