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Use Cases

Real wins from real teams using DataFlint to optimize their Apache Spark workloads.

Real winsfrom real teams

Use caseSimilar Web
Fixing a broken pipeline and
cutting runtime and costs 100X
A 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.