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Apache Spark and Presto are powerful open-source analytics engines designed to handle unstructured and semi-structured data across various applications. They provide a straightforward and expressive programming model, accommodating use cases such as machine learning and stream processing. Spark and Presto excel in executing interactive queries on datasets of any size and seamlessly combining data from multiple sources, making them ideal for querying data lakes. They operate efficiently with distributed, parallel, and in-memory processing, enabling fast data processing. Although both of them have similar offerings, they come with their own share of differences, such as processing model and data processing paradigm.
