---
title: "This week's database news, issue 37"
publication: "DB Weekly"
issue: 37
published_at: "2014-11-07"
canonical_url: "https://dbweekly.com/issues/37"
---

This week's database news, issue 37

This week's database news, supported by Rackspace[Read this e-mail on the Web](http://dbweekly.com/issues/37)

DB WeeklyIssue 37 — November 7, 2014

Supported by [![\](http://dbweekly.com/images/rackspacetrans.png)](http://rackspace.com/?utm_source=dbweekly&utm_medium=email)

[Introducing Dynomite: Making Non-Distributed Databases Distributed](http://techblog.netflix.com/2014/11/introducing-dynomite.html?utm_source=dbweekly&utm_medium=email)Netflix Tech BlogThe 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.


[Seven Surprising Findings About DB2](http://use-the-index-luke.com/blog/2014-11/seven-surprising-findings-about-DB2?utm_source=dbweekly&utm_medium=email)Use The Index, LukeA description of the major differences between DB2 and Oracle, SQL Server, PostgreSQL and MySQL. Interesting if you’ve never worked with DB2 before.


[Solving Their Big Data Problem](http://www.rackspace.com/blog/rackspacesolve-ny-sumall-solves-for-big-data-video/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-solvesumall)RackspaceSponsoredSumAll 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.](http://www.rackspace.com/blog/rackspacesolve-ny-sumall-solves-for-big-data-video/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-solvesumall)

[![Rackspace\](http://s3.amazonaws.com/nlga/uploads/item/image/27948/125.png)](http://www.rackspace.com/blog/rackspacesolve-ny-sumall-solves-for-big-data-video/?cm_mmc=managed-_-cloud-_-contentnam-_-dbweekly-solvesumall)


[The Relational Database Management System Family Tree](http://www.hpi.uni-potsdam.de/fileadmin/hpi/FG_Naumann/projekte/RDBMSGenealogy/RDBMS_Genealogy_V4_Bild.jpg?utm_source=dbweekly&utm_medium=email)Hasso Plattner InstitutA fascinating visual of the ‘genealogy’ of database systems.


[Using MongoDB as a Graph Database](http://engineering.talis.com/articles/using-mongodb-as-graph-db/?utm_source=dbweekly&utm_medium=email)Chris ClarkeA 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.


[Graph Analytics Poised to Solve Tough Big Data Problems](http://www.datanami.com/2014/11/03/graph-analytics-poised-solve-tough-big-data-problems/?utm_source=dbweekly&utm_medium=email)DatanamiWhen it comes to certain types of analytic workloads with open-ended problems, nothing beats a graph database.


[Average Salaries for Big Data Developers (infographic)](http://smartdatacollective.com/node/279896?utm_source=dbweekly&utm_medium=email)SmartData CollectiveDevelopers specializing in R and MapReduce make the most.


[Making PostgreSQL Scale Hadoop-style: Benchmark Numbers](http://www.citusdata.com/blog/86-making-postgresql-scale-hadoop-style?utm_source=dbweekly&utm_medium=email)Marco SlotCitus 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.


Jobs

In brief

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