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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.
Try it yourself
Skip the chit-chat. Spin up a cluster on your laptop and see the speed difference in under 10 minutes.
Office Hours
Weekly open Q&A — bring your Quanton and Spark questions. Every Wednesday at 9 AM PT.
Ready to make Spark fast? #
Deploy the Quanton Operator in under 10 minutes.
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