Developers are continually upping the ante by creating better, smarter and more valuable apps. However, these apps also have increasingly sophisticated data requirements, and the ability to take them to the next level may be stymied by an archaic approach to databases in which developers are required to either make serious compromises about how they store and query their data, or learn to manage their own data infrastructure.
Mobile apps, for instance, typically require a great deal of user-provided and contextual data to function, as compared to what a stationary computer would have collected 10 years ago. The data that’s being collected is frequently well suited for a particular type of database, but a bad fit for another. While MongoDB, for example, handles most of what a mobile app requires, such as the geodata that a mobile device collects, other databases are well suited for tracking relationships between users (graphs) or time series data.
To read the full article featured on The App Economy by Kurt Mackey regarding MongoDB, click here!