A lot has changed for MongoDB since raising $150 million in their last round of financing in 2013. The leader of a bumper crop of NoSQL projects, Mongo is now the most heavily funded database startup in the world, garnering attention from the likes of Salesforce, Altimeter Capital and Sequoia. The company has raised $231 million since the founders started the company in 2007.
But it is not just their massive cash haul that has Silicon Valley salivating. New partnerships with Adobe and Cloudera bring Mongo into the world of petabyte-sized data storage and big data, respectively. With every new integration, Mongo shows its ability to scale to multiple servers and handle more complex problems, all without sacrificing data load times or site performance.
MongoDB is a document-oriented database that uses real language to combine multiple data points into documents that can be called individually or as a group, to create relationships, instead of calling each data point individually. Flexible and versatile, Mongo supports BSON and JSON documents, allowing for embedding of complex objects. This not only improves performance and page load speed, it makes your data system more scalable and more efficient, saving you time and money on infrastructure.
At Kanban, we decided back in early 2013 that the SQL database solutions we were using did not meet our requirements for integration and content performance. So we built a proof of concept to test Mongo across a number of client scenarios. The results were impressive. Once we completed our due diligence, we began to implement MongoDB for our clients, and in one particular case, integrated MongoDB with HP Autonomy TeamSite/LiveSite Content Management System. Leading the project were TeamSite Whisperers Melvin Monteiro and David Gili Casals. Below, they describe the process and how Mongo brought site performance, time-to-market and data load to new levels.