DB Weekly
Issue 30 — September 19, 2014
Supported by
Jan Stenberg
This quick opinion piece sparked quite a few comments in response.

The IndieWeb is a ‘people-focused alternative’ to the ‘corporate Web’ and part of their thinking is that using databases for the primary storage of content is an anti-pattern due to maintainability and opacity. An extreme viewpoint but there are some reasonable points too.

A look at an exciting new feature in a forthcoming version of MongoDB: pluggable storage modules/engines. They’ll allow engineers to totally change out the way data is stored on the backend while retaining the front-end APIs and services.

Rackspace   Sponsored
The Hadoop ecosystem is crammed full of software, much of which duplicates efforts, and much of which is named so similarly that it’s very confusing for newcomers. If you’re new to Hadoop, this guide is perfect to help you get familiar. This time around, we’ll get into more of the peripheral, optional components that might be useful to you.


IBM is promising data crunching for the masses with its Watson Analytics natural-language cognitive service.

Thumbtack Technology performed extensive testing to benchmark the three leading NoSQL databases: Couchbase Server, MongoDB, and Apache Cassandra / DataStax Enterprise. You have to sign up to get the results unfortunately.

If you're generating fake data but want it to appear realistic within your database, this is an example of generating normally distributed data.

With Docker and a small tool called ‘dock’ you can start all necessary services for your development environment in seconds.

Uses a simple JSON-based query language based on MongoDB’s query language, persistently stores data across page loads, open source, but costs money for commercial use.


    In brief