Optimize AWS EMR Apache Spark™ Pipelines

Cut AWS EMR Spark costs by 60%+ with no code changes. Faster ETL pipelines, fewer clusters, and zero ops.

ETL Price/Performance. EMR Serverless $3.03/Onehouse $1.00
60%+
Lower EMR Spark Cost
3-4x
Better ETL Price/Performance
$1M+/year
Saved by top users

Why EMR + Onehouse?

Drop-in compatibility with your existing EMR Spark jobs. Guaranteed cost savings, faster ETL, and hands-free table optimization, while staying open and interoperable in AWS.

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Guaranteed Savings

Point EMR Spark jobs to Onehouse Compute Runtime (OCR) with Quanton for 70%+ lower Spark infra cost and optimized performance.

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No Code Changes

Keep your existing Spark jobs and configurations. No rewrites, migrations, or refactoring needed.

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Faster ETL

Quanton’s ETL-aware execution and autoscaling deliver 3–4x better price/performance and instant scaling for spikes.

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Hands-Free Table Optimization

Automatic compaction, clustering, and cleaning for Apache Iceberg™, Delta, and Apache Hudi™, yielding 2–10x faster queries.

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Open & Interoperable

Stay in AWS with Glue sync and multi-format support. Query from EMR, Trino/Presto, Snowflake, and more.

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Enterprise-Ready Deployment

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
Spark Savings Opportunities

How It Works

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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.
ETL-aware execution computes only the differential work, cutting infra in half.
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 Embeding
spark runtime
EMR
Impact
1PB
Data processed per day
50%
Cost savings vs EMR

Ready to Cut Your EMR Costs by 60%+?

See exactly how much you could save with Onehouse on EMR Spark.