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.

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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

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Run Spark 3-4x Faster on the
Quanton Engine

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.

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