Case Study: Airbnb achieves unified, searchable master data and empowers its global workforce with Neo4j

A Neo4j Case Study

Preview of the Airbnb Case Study

Master Data Management Empowers a Global Network of Airbnb Employees

Airbnb, the global travel and lodging marketplace, faced a growing internal problem as its workforce and data assets expanded: thousands of tables, dashboards, experiments and knowledge posts were scattered across platforms, making information hard to find and forcing employees to rely on tribal knowledge. This fragmentation slowed productivity and left staff without a reliable, searchable way to access the data needed for their work.

To solve this, Airbnb built the Dataportal on Neo4j’s graph database, modeling their ecosystem as connected entities and integrating Hive, Elasticsearch, Python/Flask and a React front end. By pushing metadata and relationships into Neo4j, the Dataportal provides fast, contextual search and employee- and team-centric views, giving staff a one-stop, trustworthy resource that boosts productivity and scales with company growth.


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Airbnb

John Bodley

Software Engineer


Neo4j

166 Case Studies