DB Weekly
Issue 37 — November 7, 2014
Supported by
Netflix Tech Blog
The Cloud Database Engineering team at Netflix created Dynomite to improve app response times while maintaining high availability and multi-datacenter scalability. Dynomite can make existing non distributed datastores, such as Redis or Memcached, into a fully distributed & multi-datacenter replicating datastore.

Use The Index, Luke
A description of the major differences between DB2 and Oracle, SQL Server, PostgreSQL and MySQL. Interesting if you’ve never worked with DB2 before.

Rackspace   Sponsored
SumAll handles lots of data - its business is built on it. They have data multiplied by data at extremely high speeds which requires Mongo. With write contention issues, something breaks every month. SumAll shares their lessons learned in their years of big data and how they manage their Mongo problems. Watch the video.


Hasso Plattner Institut
A fascinating visual of the ‘genealogy’ of database systems.

Chris Clarke
A slide deck demonstrating how a company that used to offer graph database services migrated to using MongoDB as its backend while still working with graph database concepts.

When it comes to certain types of analytic workloads with open-ended problems, nothing beats a graph database.

SmartData Collective
Developers specializing in R and MapReduce make the most.

Marco Slot
Citus Data benchmarked the latest version of CitusDB (a DB that extends Postgres to be horizontally scalable) and two of the leading Hadoop-based SQL solutions, Impala and SparkSQL, using the TPC-H benchmark.


    In brief