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Difference between Presto vs. Spark underlying architecture

Spark/Big Datahard3.5 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Walmart
Key Concepts Tested
etloptimizationpartitionsparksql
Expert AnswerPremium
700 wordsIncludes code examplesInterview-ready
**Section 1 — The Context (The 'Why')** Presto and Spark address fundamentally different workloads: ad-hoc interactive queries versus batch ETL and iterative processing. Confusing them leads to poor architecture—using Spark for sub-second BI queries wastes cluster spin-up time; using Presto for multi-stage ETL lacks state and fault tolerance....
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