ACM

Communications of the ACM

Home/Magazine Archive/June 2011 (Vol. 54, No. 6)/Dremel: Interactive Analysis of Web-Scale Datasets/Abstract

Research highlights

Dremel: Interactive Analysis of Web-Scale Datasets

By Sergey Melnik, Andrey Gubarev, Jing Jing Long, Geoffrey Romer, Shiva Shivakumar, Matt Tolton, Theo Vassilakis
Communications of the ACM, June 2011, Vol. 54 No. 6, Pages 114-123
10.1145/1953122.1953148
Comments (1)

View as: Print Mobile App ACM Digital Library In the Digital Edition Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook

Dremel is a scalable, interactive ad hoc query system for analysis of read-only nested data. By combining multilevel execution trees and columnar data layout, it is capable of running aggregation queries over trillion-row tables in seconds.

The full text of this article is premium content

Comments

Alexander Todorovic

July 19, 2015 04:32

I've read this article a couple of times since 2011. Even after years reading it again it's still a fascinating article about this breathtaking technology. Particulary having nowadays Apache Drill as the open source version of Dremel.

Displaying 1 comment

Log in to Read the Full Article

Sign In

Sign in using your ACM Web Account username and password to access premium content if you are an ACM member, Communications subscriber or Digital Library subscriber.

Need Access?

Please select one of the options below for access to premium content and features.

Create a Web Account

If you are already an ACM member, Communications subscriber, or Digital Library subscriber, please set up a web account to access premium content on this site.

Join the ACM

Become a member to take full advantage of ACM's outstanding computing information resources, networking opportunities, and other benefits.

Subscribe to Communications of the ACM Magazine

Get full access to 50+ years of CACM content and receive the print version of the magazine monthly.

Purchase the Article

Non-members can purchase this article or a copy of the magazine in which it appears.