SQL and Spark Jobs, powered by Quanton™
Reduce your ETL pipeline costs by 50%, using your existing tools and libraries
Product Overview
Run SQL and Apache Spark™ Jobs on the Onehouse Compute Runtime. Onehouse delivers 2-3x better price/performance than other leading Spark platforms and cloud data warehouses.
SQL and Spark Jobs on Onehouse are powered by the Quanton execution engine, which is purpose-built to process extract, transform, and load (ETL) workloads. Quanton achieves unprecedented processing efficiency by optimizing for the unique characteristics of ETL workloads: recurring, high-volume pipelines with predictable pipeline characteristics.
Lower Costs, Smarter Execution
Onehouse maximizes efficiency of your Spark and SQL pipelines to reduce costs by 2-3x, while ensuring enterprise service levels
Powered by Quanton
The Onehouse Quanton execution engine is purpose-built to process ETL pipelines, and improves efficiency by minimizing the quantum of work performed in each ETL run.
Runs on Onehouse Compute Runtime
Onehouse SQL and Spark Jobs run on serverless clusters in the Onehouse Compute Runtime, which delivers fast lakehouse I/O, best-in-class cluster management and efficient auto-scaling.
The Most Open ETL Platform
Process data just once and query with any engine, including Snowflake, Databricks, Trino, and Ray. All your tables are synced across your catalogs with OneSync™, and Apache XTable™ provides metadata translation between Apache Hudi™, Apache Iceberg™, and Delta Lake.
Unique differentiators
ETL-Optimized Execution Engine
Quanton is designed for recurring, production-grade ETL pipelines. It analyzes stable SQL transformation logic to minimize the quantum of work processed in each ETL run. This reduces compute usage and accelerates job runtimes without sacrificing reliability.
Serverless Spark in Your Cloud Account
Onehouse runs managed Spark clusters on the Onehouse Compute Runtime, which provides a purpose-built and lakehouse-optimized Spark runtime. Better autoscaling and automated cluster management eliminate the need for manual cluster maintenance.
Easy Table Management
Quanton integrates directly with table services with built-in lock providers, asynchronous compaction, clustering, locking, and indexing. It understands how data changes over time, which helps maintain performance and minimize table maintenance overhead.
Built-In Observability and Cost Insights
Rich dashboards and alerts for monitoring pipeline health, data quality, lag, and performance bottlenecks. Granular, job-level cost insights to optimize spend proactively.
Interoperable with Your Lakehouse or Warehouse
Quanton writes to open table formats and syncs metadata across catalogs with OneSync™ and Apache XTable™ (incubating). Your data becomes instantly queryable by engines such as Snowflake, Databricks, Trino, and Ray without duplicating compute or rewriting pipelines.
Native Support for Open Table Formats
Onehouse SQL and Spark Jobs work seamlessly with Apache Hudi™, Apache Iceberg™, and Delta Lake. This gives data teams the flexibility to choose the right formats for their needs.
Ecosystem Integrations
Working across the popular data tools on Onehouse is seamless, thanks to Apache Spark's rich ecosystem and the integrations built into the Onehouse platform. Onehouse provides Spark and SQL compatibility, opening the doors for you to use your data with any tool or library in the ecosystem.
Orchestration & Workflows
SQL Clients
Observability
Spark Libraries
Your Customized Cost Savings Estimate
Spark Cost Analyzer
Point this tool at your Spark history server to analyze past jobs and produce a detailed report with optimization opportunities.
30 Minutes for 30% Savings
Give us 30 minutes of your time, and we’ll show you how Onehouse can save you at least 30% on your ETL pipeline costs, guaranteed!
TCO Calculator
Estimate potential cost reductions by migrating ETL to Quanton based on your workload distribution.
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Quanton brings smart, efficient compute to your most critical Spark and SQL
pipelines. Cut costs, move faster, and stay open.