Case Study: Rippling achieves scalable growth and AI readiness with MongoDB Atlas

A MongoDB Case Study

Preview of the Rippling Case Study

Rippling expands to nearly 70 products with MongoDB

Rippling, a payroll, HR, IT, and finance startup, needed a resilient and scalable database solution to support the expansion of its product portfolio and its new AI initiatives, including the Rippling AI tool. This challenge required a robust data foundation to handle live data and permissions across its entire workforce.

Using MongoDB Atlas, Rippling built a common data store that serves as the core of its employee graph and provides an AI-ready foundation. This solution from MongoDB enabled the company to expand its platform to nearly 70 different products, boosting productivity. It is now developing a platform-wide AI agent to guide users across its full suite of offerings.


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