Quanton: Fast compute engine for Apache Spark

Quanton has launched a high-performance compute engine for Apache Spark that delivers faster execution through SIMD-vectorized processing and storage-aware planning, with no migration or code rewrites required. The engine embeds an AI assistant directly into the Spark UI to diagnose jobs in real time and offers pricing based on gigabytes processed rather than compute hours burned. Quanton runs on any Kubernetes cluster in the cloud or on-premises, allowing users to retain spot and reserved-instance savings that can reduce infrastructure costs by up to 70 percent.

Spark at full speed, now with AI. One engine that runs everywhere. Drop Quanton into your existing Spark stack in minutes — no migration, no rewrites. AI superpowers directly on Spark UI. Unmatched Speed Faster with SIMD-vectorized execution. Smarter with storage-aware planning, incremental rewrites, and background indexing across your lakehouse. Runs Anywhere Run in the cloud or on-prem using our Kubernetes operator built on the kubeflow SparkApplication CRD. Or directly run it in your existing Spark platform. AI Spark Engineer, embedded Lives inside the Spark UI with live access to configs, runtime, heap, and GC. Backed by a knowledge server trained on a decade of Spark and lakehouse expertise. AI assistance for every Spark job. Quanton AI watches every job, diagnosing issues in real time, and guiding you from your first DataFrame to debugging large-scale production pipelines. Radically fair pricing. Pay by GB processed, not by compute hours burnt — every speedup we ship cuts your infra bill while keeping your Quanton bill flat. Quanton runs in your own Kubernetes, so spot and reserved-instance savings stay yours, not ours — up to 70% on top. Estimates for illustrative purposes only. Actual costs vary by workload, usage, and vendor pricing. You're not alone in this. We've been where you are — pioneering the Lakehouse and running planet-scale ones at Uber and LinkedIn. Now we show up in your Slack, merge PRs fast, and take Spark seriously. Talk to an engineer Ask the team who built Quanton. Real engineers, real answers, no sales pitch. Join us on Slack → https://quanton.short.gy/onehouse-slack Try it yourself Skip the chit-chat. Spin up a cluster on your laptop and see the speed difference in under 10 minutes. View on GitHub → https://github.com/onehouseinc/quanton-operator/ Office Hours Weekly open Q&A — bring your Quanton and Spark questions. Every Wednesday at 9 AM PT. View schedule → /office-hours Ready to make Spark fast? Deploy the Quanton Operator in under 10 minutes. Click a card or use the arrows to explore.