Case Study: Skello scales to 600K daily users and 100K monthly payslips with MongoDB Atlas

A MongoDB Case Study

Preview of the Skello Case Study

Skello scales to 600K daily users and 100K monthly payslips with MongoDB

Skello, a fast-growing SaaS provider of HR management solutions, faced scaling challenges as its user base grew to 600,000 daily users. Its legacy architecture strained under millions of daily HR transactions and the need for new AI-driven features. To build resilience and support future growth, Skello turned to MongoDB, implementing the MongoDB Atlas database platform.

Using MongoDB Atlas, particularly Atlas Search and vector search capabilities, Skello built a flexible, AI-ready architecture. This solution powers an AI chatbot, securely processes 100,000 monthly payslips with OCR and RAG, and enables scalable search. MongoDB enabled Skello to handle peak loads reliably, improved document retrieval rates to 70-80%, and provided significant cost efficiency and developer agility, allowing new features to reach market faster.


View this case study…

MongoDB

430 Case Studies