Use Cases
Real wins from real teams using DataFlint to optimize their Apache Spark workloads.
Real winsfrom real teams
Use case
AI-Powered Spark Tuning:
90X faster, 160X cheaperA critical Spark job at SimilarWeb was failing after 22 hours on 200 machines. Standard AI tools couldn't help. The code was correct, but Spark was only using 83 of 800 available cores.
90X faster, 160X cheaperA critical Spark job at SimilarWeb was failing after 22 hours on 200 machines. Standard AI tools couldn't help. The code was correct, but Spark was only using 83 of 800 available cores.
Before DataFlint22 hours runtime200 machines
After DataFlint: 15 minutes runtime20 machines
DataFlint's AI Copilot connected to production context via MCP and identified the root cause in minutes. The fix? Just 4 lines of code changes: marking a UDF as non-deterministic and adding caching to prevent recomputation.
160XLower infrastructure costs
90XFaster execution (22 hours to 15 minutes)
AI-Powered Spark
optimization at scale.Read the full case study
optimization at scale.Read the full case study
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