Apache Spark

I mention Apache Spark because it’s still one of the core engines for modern data processing in 2026. If you’re serious about data engineering, Spark is part of the baseline for building scalable pipelines and lakehouse workflows.

Pros

+Widely used for large-scale batch processing
+Strong ecosystem and community support

Cons

-Operational complexity can be high at scale
-Can be overkill for small datasets and simple pipelines

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Apache Spark

Spark Available on Spark

Buy on Spark

External purchase

Highlights

+Widely used for large-scale batch processing
+Strong ecosystem and community support

Recommended by

Aishwarya Srinivasan