Dev Ittycheria
Dev Ittycheria has served as the President and CEO of MongoDB since September 2014, leading the company through its successful IPO in 2017. Under his leadership, MongoDB has achieved significant growth, expanded its global operations, and launched innovative products like Atlas, its global cloud database. He is recognized for driving faster business growth and delivering strong financial performance compared to other companies in the sector. Dev Ittycheria co-founded BladeLogic in 2001, serving as CEO until its $900 million acquisition by BMC in 2008. He became President and CEO of MongoDB in 2014, leading its successful IPO in 2017. Under his leadership, MongoDB launched innovative products like Atlas, its global cloud database. Ittycheria was recognized by Rutgers University as its 2010 Alumnus of the Year for the School of Engineering. He also serves as lead independent director on the board of Datadog, Inc. These achievements underscore his commitment to driving innovation and growth in the software industry.
Career Milestones
- Co-founded BladeLogic in 2001 and served as CEO until its $900 million acquisition by BMC in 2008.
- Became President and CEO of MongoDB in September 2014, leading the company through its successful IPO in 2017.
- Oversaw the launch of MongoDB Atlas, the company’s global cloud database platform.
- Recognized by Rutgers University as the 2010 Alumnus of the Year for the School of Engineering.
- Serves as lead independent director on the board of Datadog, Inc.
- Known for driving innovation, business growth, and strong financial performance in the software industry.
About MongoDB
MongoDB, founded in 2007, is a software company specializing in a document-oriented NoSQL database platform. They help developers and enterprises across industries like financial services, telecommunications, and retail to build and modernize applications. Core features include a flexible document model, scalability with sharding, replication for high availability, and powerful querying. Benefits include increased developer productivity and the ability to handle large, unstructured datasets.