01 Extract / read
Keep CPUs and
networks busy.
- Pipeline I/O with data processing
- Decode in native columnar batches
- Reduce scan scheduling overhead
// Your Apache Spark™ jobs. Unchanged.
6× faster Apache Spark. Without the Databricks tax.
Costs 3× less than Databricks SQL Serverless. Pay per GiB processed or choose a flat annual fee.
!helm upgrade --install quanton-operator \
oci://registry-1.docker.io/onehouseai/quanton-operator \
--namespace quanton-operator \
--create-namespace \
-f onehouse-values.yaml
✔ Release "quanton-operator" deployed
✔ SparkApplication CRD registered
✔ Quanton engine active
>
!helm upgrade --install quanton-operator \
oci://registry-1.docker.io/onehouseai/quanton-operator \
--namespace quanton-operator --create-namespace \
-f onehouse-values.yaml
# Grant S3 access via IRSA
!kubectl annotate serviceaccount spark-operator-spark \
eks.amazonaws.com/role-arn=arn:aws:iam::<account>:role/SparkS3Role
✔ Quanton active on EKS — S3 access via IRSA
!helm upgrade --install quanton-operator \
oci://registry-1.docker.io/onehouseai/quanton-operator \
--namespace quanton-operator --create-namespace \
-f onehouse-values.yaml
# Grant GCS access via Workload Identity
!kubectl annotate serviceaccount spark-operator-spark \
iam.gke.io/gcp-service-account=spark-gcs@<project>.iam.gserviceaccount.com
✔ Quanton active on GKE — GCS access via Workload Identity
!helm upgrade --install quanton-operator \
oci://registry-1.docker.io/onehouseai/quanton-operator \
--namespace quanton-operator --create-namespace \
-f onehouse-values.yaml
# Mount ADLS Gen2 credentials
!kubectl create secret generic adls-sp \
--from-literal=client-id=<client-id> \
--from-literal=client-secret=<client-secret>
✔ Quanton active on AKS — ADLS Gen2 access configured
// Your infrastructure. Your open formats.
Deploy on
-
-
-
-
-
On-prem -
Neoclouds
Run inside
-
-
- EMR
-
Microsoft Fabric -
GCP Dataproc
Open formats
// Why Quanton
Vectorized execution alone is not enough.
Quanton combines storage intelligence, optimized SQL plans, and fast native operators to accelerate the full Spark pipeline.
Keep CPUs and
02 Transform / compute
Do less work.
Execute it faster.
- Reshape SQL plans using table metadata
- Velox operators reimplemented from scratch
- Index joins cut down scans and shuffles
03 Load / write
Make incremental updates and table maintenance efficient.
- Apply changes with low-shuffle merges
- Compact data in columnar batches
- Build and maintain indexes automatically
Storage intelligence Table metadataStatisticsDynamic indexes
// Benchmarks
open-source-spark
TPC-DS · 99 queries · 10 TB
12,200 seconds
Total suite runtime
quanton
TPC-DS · 99 queries · 10 TB
2,034 seconds
6.0× faster than OSS Spark
Scaled for playback · Updated Oct 2026
up to 6.0×
Faster Execution
vs. open-source Spark on TPC-DS 10 TB
up to 60%
Compute Cost Reduction
achieved by Fortune 500 companies in production
Petabytes
Data Processed Per Day in Production
on battle-tested Spark infrastructure
// Pricing
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.
Compute billing — 6× faster = ~83% fewer billed hours.
Per-GB billing — speed is free to give.
THAT ONE RED BRICK CO.
40 TB processed per month
compute billing
Compute hours × DBU markup rate $96,291.00
Mandatory support tier $5,250.00
Subtotal$101,541.00
ANNUAL AMOUNT DUE$101,541.00
OVERPRICED
QUANTON · ONEHOUSE
40 TB processed per month
per-GB billing
40,000 GB × markup rate $34,000.00
Support included
Subtotal$34,000.00
ANNUAL AMOUNT DUE$34,000.00
YOU SAVE $67K
* Estimates for illustrative purposes only. Actual costs vary by workload, usage, and vendor pricing.
See full pricing// Your AI Spark engineer. Free on every plan.
Know why your Spark job is slow.
Diagnose bottlenecks and get tuning recommendations from your job’s execution plans, metrics, and logs—directly in the Spark UI.
Bring your own model API key.
- Read live logs, stage DAGs, and executor metrics together.
- Diagnose OOMs and skew, with specific tuning recommendations.
- Inspect SQL plans, debug PySpark, and tune table storage.
- Keep your API key in your browser. Prompts never pass through our servers.
// The team
Built by engineers who’ve
run Spark at scale.
Meet the Onehouse team Uber and LinkedIn
We’ve operated some of the world’s largest Spark platforms, where reliability and performance matter on every run.
Open format experts
Our team created industry-defining open table formats and interoperability layers.
A decade in open source
We’ve spent a decade helping the community run Spark and open table formats at scale.
Talk to the engineers building Quanton.
Ready to make Spark fast?
Deploy the Quanton Operator in under 10 minutes.
// Customer impact
Click a card or use the arrows to explore.
