DB Weekly
Issue 28 — September 5, 2014
Supported by
Yao Yu
Twitter runs some of the largest Redis clusters in production. To adapt Redis to Twitter’s use cases, they’ve come up with numerous best practices and new features. Yao Yu provides a case study of running Redis at scale, complete with numbers and stories.

DataStax’s plans are to increase investment in the Cassandra developer community both within the project itself and with those in organizations developing Cassandra-oriented apps.

Rackspace   Sponsored
‘StreetLight Data functions like a giant, distributed data warehouse. We receive around 5 TB of cellular data from carriers each month, and we are currently integrating 1 TB to 2 TB of GPS data per month. In response to customers’ queries, we can serve up that data in less than 30 seconds.’ After a lot of price/value comparison and benchmarking with cloud providers, see why they chose Rackspace and watch the video here.


This could be an interesting tool for both porting code from using SQL to using MongoDB, but also as a way to learn about what’s involved in producing similar Mongo queries.

Robert Diana
Things are relatively stable, with strong growth throughout. MongoDB, Cassandra, HBase and Redis dominate.

Scott Mongeau and Jean Villedieu
A short slidedeck showing off an example of how authorities could use graphs and Neo4j to detect tax fraud.


    In brief