Developer ToolsSparkbig datadebugging

SparkTrace

Trace Spark job failures to exact code lines instantly.

Demand score

68/100

Emerging signal

Build difficulty

Hard

Time to ship

16-20 weeks

Search trend

Stable

Why this demand exists

Developers managing Spark jobs on platforms like EMR face significant challenges in tracing job failures back to the source code. Users report that existing tools, like Datadog and CloudWatch, fail to provide actionable insights, leading to time-consuming manual debugging. At least 5 users expressed the need for a solution that can connect runtime failures with specific lines of code to improve debugging efficiency.

Built for: Data engineers, big data developers, DevOps teams

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