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Cut AWS EMR Spark Costs by 60%+
No code changes. Faster ETL pipelines, fewer clusters, and zero ops.
80%
Faster Hudi & Iceberg Merges
3.5x
Better Price/Performance vs EMR Serverless
$1M+/year
Saved within a quarter
Why use Onehouse?
Onehouse's compute runtime runs Spark on your own EKS clusters, with adaptive autoscaling and queue-based resource management instead of EMR's generic Spark clusters. Drop-in replacement for your existing EMR jobs.
Measurable Savings
Point EMR Spark jobs to Onehouse Compute Runtime (OCR) with Quanton for 60%+ lower Spark infra cost and optimized performance.
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Adaptive Autoscaling
Serverless, adaptive scaling with queues and resource isolation across workloads—instead of basic OSS scaling that leaves you paying for idle nodes.
Faster Data Pipelines
Quanton’s lakehouse-optimized, storage-aware execution delivers 3.5x better price/performance than EMR Serverless, and jobs run up to 3x faster.
Hands-Free Table Optimization
Automated, asynchronous compaction, clustering, and cleaning for Apache Iceberg™, Delta, and Apache Hudi™, yielding 2–10x faster queries—with no inline write bottlenecks.
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Open & Interoperable
Work within and outside AWS. Multi-catalog sync and multi-format support—never stuck in a single vendor, catalog, or format. Query from EMR, Trino/Presto, Snowflake, and more.
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Already Enterprise-Ready
Run in your VPC with SOC2/PCI compliance. Keep your data secure, open, and under your control.
Find Your Own EMR Spark Savings Opportunities
Not sure where your EMR budget is going? The free Cost Analyzer for Apache Spark™ makes it easy:
- Install in minutes (pip install spark-analyzer)
- Point it at your EMR Spark History Server
- Get a detailed Excel report on bottlenecks, idle compute, and savings opportunities
In our analyses of EMR workloads, teams consistently uncover 30–70% wasted compute and see paths to 60%+ cost reductions.
RUN THE FREE COST ANALYZER
How It Works
1
Analyze your EMR jobs.
Run Cost Analyzer against your EMR history server to quantify idle compute and predicted savings with Quanton.
2
Point your EMR jobs to Quanton.
Use the same spark-submit commands and artifacts you already run.
3
Quanton takes over.
Storage-aware execution accelerates extract, transform, and load—not just the transform stage.
4
Tables stay optimized.
Background compaction, clustering, and cleaning keep reads fast.
5
Glue + Multi-catalog sync.
Glue, Unity, Snowflake—metadata stays in lock-step automatically.
Proof in Action
Large US Airline
Use Case
EMR-Based ETL Cost Reduction
spark runtime
EMR
Impact
60%
Cost Savings vs EMR
3.8M
Core-hours per year saved vs EMR
Public Fintech Company
Use Case
Accelerating Hudi Reads and Writes
spark runtime
EMR
Impact
$800K
Quanton cost savings per year vs EMR
45%
Reduction in Spark job runtimes
Workspace collaboration app
Use Case
Streaming + AI Vector Embedding
spark runtime
EMR
Impact
1PB
Data processed per day
50%
Cost savings vs EMR
Go deeper on EMR and Spark cost
Blog
Onehouse Quanton vs the latest AWS EMR for Apache Spark™ workloads
Read article
Blog
Introducing the Quanton Kubernetes Operator for Apache Spark™
Read article
Blog
Meet Cost Analyzer, a free tool to unearth Apache Spark™ bottlenecks
Read article
Ready to Cut Your EMR Costs by 60%+?
See exactly how much you could save with Onehouse on EMR Spark.