Case Study: Glassdoor’s Fishbowl improves workplace search and transparency with MongoDB Atlas

A MongoDB Case Study

Preview of the Glassdoor Case Study

Glassdoor improves search reliability with MongoDB Atlas and reindexes content in 5-10 minutes

Glassdoor sought to enhance workplace transparency through its Fishbowl professional network, which required a scalable and easily managed database to support rapid user growth and seamless search functionality. The challenge involved replacing a complex Elasticsearch setup that caused unreliable search results and high operational overhead. MongoDB provided its Atlas database platform, including Atlas Search, to address these needs.

By implementing MongoDB Atlas, the Fishbowl team integrated their database and search engine, eliminating data sync issues and reducing reindexing tasks from days to just minutes. This MongoDB solution delivered a reliable, high-performance platform with minimal operational overhead, enabling the engineering team to focus on user experience and supporting Glassdoor's goals for a more authentic and transparent job market.


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