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.
Developers want to spend time focusing on new features rather than managing their databases. This reinforces the importance of database-as-a-service (DBaaS). This is why today we’re fortifying our technology partnership with Cloudant through a strategic investment.
ObjectRocket, the industrial strength MongoDB database-as-a-service company that we acquired in February, is now available in our Chicago data center. This means you can now use ObjectRocket as part of your Rackspace deployments.