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Quanton Operator for Apache Spark™ on Kubernetes
Run Apache Spark workloads 3-4x faster on your own Kubernetes infrastructure in any cloud or on-premise environment, with zero code changes.
Data pipelines up to 4x faster and cheaper
Run Apache Spark™ 3-4x faster on your own Kubernetes, without changing a line of code.
The Quanton Operator exactly matches the Kubeflow Spark Operator, but deploys driver and worker pods with Quanton, our accelerated Apache Spark build. Install it on any K8s cluster and immediately accelerate your existing pipelines.
Built for teams who need cost control and data privacy without sacrificing performance. You manage your infrastructure, eliminate vendor lock-in, and get 2-3x better price/performance than Databricks or EMR – all while keeping your data in your own environment.
Lower Costs, Smarter Execution
Cut compute costs by 2-3x while boosting job performance.
Quanton optimizes Spark specifically for production ETL pipelines, maximizing efficiency where it matters most.
No Code Changes
Drop-in replacement for Apache Spark. Your existing jobs run faster immediately - no refactoring, no migration risk.
Runs on Your Infrastructure
Deploy on any K8s cluster. On-premise, private cloud, air-gapped — wherever you run Kubernetes today. You control compute, storage, and network.
Enterprise-Grade Security
Your data never leaves your environment. Maintain full control over compliance, access policies, and data governance without compromise.
TPC-DS (10 TB) Runtime in seconds
Run Spark 3-4x Faster on the
Quanton Engine
Powered by innovations, including
- Smart Lakehouse I/O
- SIMD Vectorized Processing
- Adaptive Query Planning
What makes quanton fast?
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No Credit Card, No Commitments!
Quanton brings smart, efficient compute to your most critical Spark pipelines. Cut costs and supercharge performance, without compromising on the deployment model.
Your Customized Cost Savings Estimate
Are you curious to understand how Onehouse can help you reduce costs in your environment?
Spark Cost Analyzer
Point this tool at your Spark history server to analyze past jobs and produce a detailed report with optimization opportunities.
download the spark cost analyzer tool
Chat With a Spark Expert
Meet with our team to discuss how you can 3x your Apache Spark cost-performance with the Quanton K8s operator.
Read the Docs
Check out the GitHub repo to learn more and quickly try a simple quickstart on your local laptop.
Read the docs