10 Best SQL-on-Hadoop Tools in 2025: Open Source and Enterprise Compared
· 16 min read
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.