Are you a developer that loves MongoDB, but haven't been able to convince your boss to use it for a project at work? Consider checking out our upcoming webinar on January 17, in which we will present a total cost of ownership (TCO) framework for database development and deployment.
It can be faster and cheaper to develop and deploy applications on MongoDB, yielding both bottom-line benefits - lower developer and administrative costs - and topline advantages - it is easier and faster to evolve applications to meet changing business and market conditions.
Cloud CMS is a new breed of content management system that makes it easy to publish content and digital experiences to mobile applications.
Founded on the belief that successful customer experiences will need to span an increasing number of devices and form factors, over long periods of time, Cloud CMS helps brands by enabling companies to manage, deliver and source meaningful content to their audiences at just the right time. Cloud CMS provides businesses with an intelligent content backbone that supplies the infrastructure and authoring tools to source, curate, collaborate and respond with crisp content to... Read More >
Just as the ink was drying on my ReadWrite piece on how the convenience of public cloud computing is steamrolling over concerns about security and control, Redmonk ÃƒÂ_ber-analyst Stephen O’Grady posts an exceptional review of why we should “not underestimate the power of convenience.”
As he writes:
One of the biggest challenges for vendors built around traditional procurement patterns is their tendency to undervalue convenience. Developers, in general, respond to very different incentives than do their executive purchasing counterparts. Where organizational buyers tend to be less price sensitive and more focused on issues relating to reliability and... Read More >
Gartner estimates that by 2015, 25 percent of new databases deployed will be of technologies supporting alternative data types and non-traditional data structures. This is great news, as these new database choices, many of them NoSQL, are generally better tuned to modern application requirements. The downside to this end to the “30-year old freeze,” to quote Redmonk analyst James Governor, is that with all these new options comes the risk of complicating a hitherto somewhat simple choice: which database to use?
Perhaps your business has settled on the exact right operating model, one that will remain static for years, if not decades. But for the 99.999 percent of the rest of the world’s enterprises, your market is in a constant state of flux, demanding constant iterations on how you do business. As the Research & Development group of The New York Times Company (NYT) has found, a key way to confront the constant flux of today’s businesses is to build upon a flexible data infrastructure like MongoDB.
The story behind theThe New York Times Company’s use of MongoDB isn’t... Read More >
There are many reasons to use a NoSQL database like MongoDB, but Pierre DeBois hones in one that doesn’t always get the attention it deserves: analytics.
As DeBois, founder of Zimana, writes, “NoSQL databases are gaining in popularity because they offer the scalability required for real-time processing of complex datasets.” As I’ve noted before, “Big Data” is sometimes the reason enterprises look to NoSQL, but sometimes they unnecessarily focus on MongoDB or another NoSQL database as an operational data store, and neglect its utility for analytics, too.
Reading through Mary Meeker’s excellent 2012 KPCB Internet Trends Year-End Update, I was reminded by how critical NoSQL databases are to the present and future of application development. Even the most casual perusal of Meeker’s data indicates a critical need for new data stores that can handle Gartner’s 3 V’s of Big Data: velocity, volume, and variety.
Importantly, as noted previously, such “V’s” aren’t restricted to some niche category of application. Going forward into the post-transactional future, the vast majority of applications will be better suited to a NoSQL database like MongoDB than to a legacy RDBMS.