Cost Analyzer for Apache Spark™ Live Demo: Find Hidden Bottlenecks In Minutes, Unlock 2-3x Performance

Why attend?

Spark at scale is expensive, but most teams don’t know where waste hides. Cost Analyzer is a lightweight, open python tool that digs into your Spark History Server data and helps you:

• Find bottlenecks in Spark stages
• Identify waste in compute resources
• Get actionable insights on optimizing jobs and reducing costs

And the best part? You can install and run it in under 5 minutes.

What you’ll learn

• How to set up Cost Analyzer (on local machine or browser mode)
• Step-by-step demo: pip install, configure, and run your first analysis
• Walk-through a real analysis: learn how to interpret the report
• User examples: 45% faster runtimes, 60% lower EMR costs, and even 10× performance boosts
• Next steps: how to get a more detailed report using a free Analyzer ID

Who this is for

• Data engineers fighting slow or costly Spark jobs
• Teams running EMR, Databricks, or on-prem Spark who want more visibility
• Anyone curious about where the “other 50%” of their Spark budget is going

Bonus: real users examples

• Large Airline: 60% lower Spark costs, millions of core-hours saved
• Fintech Company: $800K/year saved, Spark jobs 45% faster‍
• Telecom Provider: 10× faster workloads vs Databricks