Unstructured data—information without a predefined data model—is expected to swell to four times the amount of structured data by 2020. This growth has made the NoSQL datastore ecosystem thrive, because NoSQL is ideal model for tackling unstructured data.
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.
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.
This is a guest post written and contributed by Mike Miller, Co-founder, Chief Scientist of Cloudant, a Rackspace Cloud Tools partner. Cloudant is a managed NoSQL cloud database service, a fast, always-on, scalable database that Cloudant operates and grows so developers can stay focused on new development and not on IT operations.
In the last six months there has been a dramatic increase in interest for NoSQL and Big Data. You probably have heard “NoSQL is the future of databases,” or that “Big Data is a key technology that will allow businesses to get much smarter.”