Case Study: ESG Data & Solutions achieves 98% faster data processing with MongoDB Atlas

ESG Data & Solutions slashes data processing time by 98% with MongoDB

ESG Data & Solutions (ESGDS) faced challenges with its legacy relational databases, which lacked the flexibility and scalability needed to process massive, diverse ESG datasets for its AI-driven ESGSure research platform. These limitations resulted in stale data, delayed insights, and complex security compliance issues, hindering the company's growth and its ability to provide timely analysis to investors. To overcome this, ESGDS sought a modern database solution from MongoDB.

By migrating to MongoDB Atlas and utilizing MongoDB Atlas Vector Search, ESGDS gained a flexible data model with built-in AI capabilities. This solution eliminated the need for complex data pipelines and enabled near real-time data processing. The results were transformative: ESGDS slashed its manual data review time by 98%, doubled its data ingestion capability, and successfully expanded its AI platform into new global markets.

ESG Data & Solutions (esgds)