Case Study: AtomRain achieves scalable, reliable connected-data recommendation engines with Neo4j

AtomRain - Customer Case Study

AtomRain, led by CEO Bradley Nussbaum in Los Angeles, helps companies tackle the growing demand for connected data across enterprise and consumer applications. Facing limits with traditional databases—particularly around scaling and linking diverse data sources—they needed a reliable, scalable platform to support graph-based use cases in industries like entertainment.

AtomRain adopted Neo4j to build robust, scalable graph systems, integrating features like Causal Clustering and working closely with the Neo4j team. The company launched live recommendation and discovery products (datenightmovies.com and nextqueue.com) that aggregate content from Netflix, IMDb, Hulu, Vimeo and VUDU to deliver Netflix-style recommendations, demonstrating practical, production-ready results for connected-data challenges.

AtomRain

Bradley Nussbaum

Chief Executive Officer