Big data face-off: Spark vs. Impala vs. Hive vs. Presto

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade!

Big data face-off: Spark vs. Impala vs. Hive vs. Presto
Michael Smidt (Creative Commons BY or BY-SA)

Today AtScale released its Q4 benchmark results for the major big data SQL engines: Spark, Impala, Hive/Tez, and Presto.

The findings prove a lot of what we already know: Impala is better for needles in moderate-size haystacks, even when there are a lot of users. Presto also does well here. Hive and Spark do better on long-running analytics queries.

Copyright © 2016 IDG Communications, Inc.

How to choose a low-code development platform