From RDBMS to MongoDB: Migration Stories Infographic

Dana Groce


Data is growing annually at a rate of 40%, with 90% of that data being unstructured. How does this impact your organization? It means that your team must be able to deliver new applications that capitalize on modern data - faster, better, and more efficiently than ever before.

But how are you going to create GIANT ideas with a database built to handle requirements from the 1970s?

Organizations of all sizes are adopting MongoDB for their modern applications. Here are just a few examples:


Before migrating from Oracle to MongoDB, it took Telefonica 7 developers, multiple iterations, and over a year to build a system that performed poorly. Using MongoDB, a small team of 3 developers were able to easily build a user data management system in 3 months, which now powers both legacy and new services across the globe.


Shutterfly developed on Oracle for over a decade, leaving them with brittle code and a painfully slow development cycle. Oracle continued to be a costly expense (between software licenses and hardware) while delivering poor performance. Shutterfly migrated to MongoDB for its agility, high performance, and scalable solution at a significantly lower cost - 80% reduction is data storage cost.

Learn more about migrating from RDBMS to MongoDB.
Read our RDBMS to MongoDB Migration Guide