In yesterday’s post I considered some of the limitations of running MongoDB on the public cloud. In the event that you decide to host MongoDB with a cloud provider, below are some thoughts on how to choose the right one. The framework is actually applicable to many other data services, but we will continue to use MongoDB for the discussion.
It wasn't too long ago that developers and database administrators answered with a simple "no, thank you" when asked about implementing any database on virtualized or cloud environments. The state of database-as-a-service solutions has come a long way in a relatively short period of time. Today, the number of choices available to developers in the data services tier has exploded.
I started writing small web applications in the late 90s. I came from a traditional relational database background, relying heavily on one of the most popular open source solutions, MySQL. After seeing a lot of online discussion around non-relational databases, and having talked to a number of customers looking for help with MongoDB, I knew that it was time to learn something new and get my feet wet with non-relational databases. Here are some of the steps I took and resources I used to learn MongoDB.
This is a guest post written and contributed by Rollie Schmidt Sr., Director of Business Development at Clustrix, a Rackspace Cloud Tools partner. Clustrix is the leading scale-out SQL database engineered for the cloud.
This is a guest post written and contributed by Ravi Chandran, Founder & CTO at XtremeData, Inc., a Rackspace Cloud Tools Partner. XtremeData provides a scalable, full-featured SQL data warehouse solution for Big Data analytics.