# Quanton: Fast compute engine for Apache Spark

> Source: <https://quanton.dev/>
> Published: 2026-05-29 12:25:49+00:00

#
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.