The Mongo-ODBC project is a collaborative effort by NYU MSIS students, guided by 10gen and Professor Evan Korth, to develop an ODBC driver for MongoDB. The goal of this project is to enable users of programs that don't yet offer MongoDB support to access data in MongoDB databases, making it particularly useful for new users and those dependent on Excel and Tableau for simple business analysis reporting. Developing the driver has presented challenges due to differences between relational and document-based databases, but the team is working on parsing SQL statements into mongo queries, mapping them to MongoDB C++ driver functions, and handling ODBC return format specifications. This project is the third collaboration between NYU MSIS program and 10gen, following previous student groups' work on the MongoDB adapter for Hadoop and the MongoDB Disco Adapter, and can be found on Github.