ON-DEMAND WEBINAR
Upcoming
Introducing Onehouse Compute Runtime: Accelerated Spark Runtime for Apache Hudi™, Iceberg and Delta Lake
Adaptive Optimizations Speed Queries 2-30x, Cut Cloud Infrastructure Costs 20-80%
Join Vinoth Chandar and Kyle Weller to learn how Onehouse Compute Runtime automates optimizations for 2-30x faster queries and 80% infrastructure cost reductions.
So many query engines. So many use cases. How can you operate like an expert on all of them?
Onehouse Compute Runtime, the foundation of the Onehouse Universal Data Lakehouse, is the industry’s only compute runtime that optimizes data lakehouse workloads across all leading cloud data platforms and query engines, including Amazon Redshift, Databricks, Google BigQuery and Snowflake.
Not only does Onehouse enable you to work across open lakehouse table formats - Apache Hudi, Apache Iceberg, and Delta Lake - it also dramatically accelerates your queries with automated optimizations that adapt to your workloads while reducing compute costs. Join this webinar to see how organizations are accelerating queries and reducing costs with Onehouse Compute Runtime for:
- Serverless compute management - Minimize compute footprint with elastic cluster scaling, multi-cluster management, and BYOC infrastructure.
- Adaptive workload optimizations - Effortlessly manage workloads with a multiplexed job scheduler, enforce latency SLAs via lag-aware scheduling, and balance write and query performance with performance profiles.
- High performance lakehouse I/O - Deliver fast writes through vectorized columnar merging, maximize CPU efficiency via parallel pipelined execution, reduce network requests with optimized storage access, and minimize compute hours through efficient data serialization.
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