The Cassandra Database: When Performance Meets Scalability

A session at SXSW Interactive 2011

Monday 14th March, 2011

3:30pm to 4:30pm (CST)

Faced with the costs of vertically scaling their relational database systems, developers are increasingly turning to Apache Cassandra as an alternative. Cassandra solves the scaling problem by partitioning data, expanding horizontally and promising replication consistency. Effectively utilizing Cassandra requires that developers take different approaches to the ways they model data used in their applications. This presentation will explain how Cassandra achieves scale and reliability, and give an example of porting a SQL schema to Cassandra.

LEVEL: Advanced

About the speaker

This person is speaking at this event.
Jonathan Ellis

DataStax co-founder and project chair for Apache Cassandra. At Mozy, I built a multi-petabyte, scalable storage system based on Reed-Solomon encoding. bio from Twitter

Next session in Town Lake Ballroom

5pm Big Data for Everyone (No Data Scientists Required) by Eric Sammer, Steve Watt, Stu Hood, ɹǝɯoɹʞ (dılɟ) dılıɥd and Matt Pfeil

14 attendees

  • Eddie Stover
  • Eamonn O'Brien-Strain
  • Garann Means
  • Héctor Ramos
  • Jon Lim
  • Wade Austin
  • kickme444
  • Rowan
  • Michiel Berger
  • ɹǝɯoɹʞ (dılɟ) dılıɥd
  • Kipp Jones
  • Jonathan Ellis
  • Adam Keys
  • TyKisha

26 trackers

  • Andy Hume
  • Sean Patrick Henry
  • Brett Bukowski
  • Carson McDonald
  • Cody Stoltman
  • Mike Cravey
  • Darby Frey
  • Dustin Mihalik
  • Hans verschooten
  • Dan W
  • Jenn Howard
  • Larry Archer
  • LookBackMaps
  • Chris Carter
  • micah craig
  • Nick Downing
  • Herman Kuiper
  • Robbie Clutton
  • rubikzube
  • Benjamin Bykowski
  • Marc Sexton
  • tolleson, terry
  • Aurelio Tinio
  • Sebastjan Trepca
  • Ted Leung
  • Tyler Graf

Sign in to add slides, notes or videos to this session

Sign in to track this session

Tell your friends!


Time 3:30pm4:30pm CST

Date Mon 14th March 2011


Town Lake Ballroom, Radisson Hotel & Suites Austin-Town Lake

Session type


Session Hash Tag


Short URL


Official session page


View the schedule



See something wrong?

Report an issue with this session