Case Study: VinBigData reduces database costs and keeps APIs under 100ms with MongoDB Atlas

A MongoDB Case Study

Preview of the VinBigData Case Study

VinBigData cuts database operations costs by 30% with MongoDB

VinBigData, a subsidiary of Vietnam's Vingroup, faced a challenge with fragmented data across its customers' multiple business units. This fragmentation stifled innovation and made it difficult to maintain data accuracy and control operations. To address this, VinBigData sought a centralized data management solution using MongoDB Atlas.

By implementing MongoDB Atlas on AWS, VinBigData built a scalable and flexible foundation for its AI applications. This solution reduced their database operations and management costs by 30% while consistently keeping API latency below 100ms, ensuring a smooth user experience for their customers' products. MongoDB's platform also allows VinBigData to rapidly develop and deploy new AI-driven solutions.


View this case study…

MongoDB

430 Case Studies