Presto and Trino distributed SQL query engines
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Three SQL engines dominate the Hadoop data lake landscape: Apache Hive, Presto, and Trino (Presto's open-source fork). Each evolved to solve different problems. Picking the wrong one leads to either unbearably slow interactive queries or over-engineered infrastructure for simple batch ETL. Here's how they compare.
Running SQL queries directly over petabytes of Hadoop data — without moving it into a separate warehouse — is one of the defining capabilities of a mature data platform. But the landscape of SQL-on-Hadoop engines is crowded and fragmented. Choosing the wrong one means slow analyst queries, wasted infrastructure spend, or painful migration later.
This guide reviews 10 SQL-on-Hadoop tools available in 2025, covering architecture, strengths, limitations, and the workloads each one is best suited for.