Databricks

Databricks is relevant because lakehouse architectures are a major shift in 2026 data engineering. If you’re working with Spark, open table formats, and large-scale pipelines, Databricks is often where those systems live in the real world.

Pros

+Strong platform for Spark and lakehouse workflows
+Common in orgs building AI-ready data infrastructure

Cons

-Platform complexity can be high for beginners
-Costs and configuration need active management

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Databricks

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Highlights

+Strong platform for Spark and lakehouse workflows
+Common in orgs building AI-ready data infrastructure

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Aishwarya Srinivasan