Case Study: CAIS modernizes its website and improves search with MongoDB Atlas

CAIS improves scalability 10x with MongoDB

The California Association of Independent Schools (CAIS) was outgrowing its previous database solution, which had limitations in indexing, search capabilities, and handling high traffic. This led to website downtime and a poor user experience for its members and job seekers. To modernize its web experience, CAIS needed a new database from vendor MongoDB that could handle its growing data needs, provide advanced search, and integrate with its technology stack.

By implementing MongoDB Atlas and MongoDB Atlas Search, CAIS gained advanced search functionalities like autocomplete and wildcard search, which significantly enhanced the user experience. The solution also improved data resilience and reduced database maintenance. MongoDB enabled CAIS to scale its infrastructure by an estimated 10 times, allowing the organization to better serve its member schools and their users.

CAIS