Archive for the ‘BigCouch’ Category

BigCouch 0.4

Sunday, January 29th, 2012

BigCouch 0.4 by Alan Hoffman.

From the post:

It is a big day here at Cloudant HQ; we are announcing the release of BigCouch 0.4! This release, which brings BigCouch into API equivalence with Apache CouchDB 1.1.1, has been baking for a while, and we are excited that it is now ready for public consumption. Instructions for installing and using BigCouch 0.4 can be found on the BigCouch page. Users running Debian Squeeze, Ubuntu (LTS or newer) or RedHat / CentOS / Amazon Linux are welcome and encouraged to use our prebuilt distributions based on Erlang/OTP R14B01 and SpiderMonkey 1.8.5.

Later in the post Alan points out that Cloudant is dedicated to donating and integrating BigCouch into Apache CouchDB.

Is it just me or does it seem like at least for “big data,” that vendors are trying to build out open infrastructures? And doing so by supporting open source versions of their software? Good to see the potential for an evolving, common infrastructure that will support commercial, governmental or other services.

NoSQL Databases: Why, what and when

Tuesday, March 1st, 2011

NoSQL Databases: Why, what and when by Lorenzo Alberton.

When I posted RDBMS in the Social Networks Age I did not anticipate returning the very next day with another slide deck from Lorenzo. But, after viewing this slide deck, I just had to post it.

It is a very good overview of NoSQL databases and their underlying principles, with useful graphics as well (as opposed to the other kind).

I am going to have to study his graphic technique in hopes of applying it to the semantic issues that are at the core of topic maps.


Saturday, February 12th, 2011

BigCouch 0.3 release.

From the website:

BigCouch is our open-source flavor of CouchDB with built-in clustering capability.

The main difference between BigCouch and standalone Couch is the inclusion of an OTP application that ‘clusters’ CouchDB across multiple servers.

For now, BigCouch is a stand-alone fork of CouchDB. In the future, we believe (and hope!) that many of the upgrades we’ve made will be incorporated back into CouchDB proper.

Many worthwhile topic map applications can be written without clustering, but “clustering” is one of those buzz words to include your response to an RFP, grant proposal, etc.

Good to have some background on what clustering means/requires in general and beating on several of the clustering solutions will develop that background.

Not to mention that you will know when it makes sense to actually implement clustering.