Use Cases
Real wins from real teams using DataFlint to optimize their Apache Spark workloads.
Real winsfrom real teams
Use case

Fixing a broken pipeline and
cutting
runtime and costs 100XA data analyst at Similarweb developed a critical pipeline that broke down in production. It was running out of memory and showing complicated error messages that were hard to understand.
cutting
runtime and costs 100XA data analyst at Similarweb developed a critical pipeline that broke down in production. It was running out of memory and showing complicated error messages that were hard to understand.
Before DataFlintJob failedAnalyst blocked
After DataFlint: Job runningAnalyst unblocked
DataFlint pinpointed the exact issue and made improvements that optimized the join strategy in a few minutes. This optimized the process, cutting runtime from 2.5 hours to only 11 minutes, while also cutting costs by 100x.
100XLower infrastructure costs ($7000/year to $70)
13XFaster execution time (2.5 hours to 11 minutes)
10X your data team’s
velocity and impact.
velocity and impact.
DataFlint 2025