Case Study: Airbnb achieves real-time analytics with Preset and Apache Superset

A Preset Case Study

Preview of the Airbnb Case Study

Airbnb supports real-time analytics with Preset’s Apache Superset after a 1,032-word deep dive

The customer, Airbnb, needed to support real-time analytics but found that its existing closed-source BI tool struggled when used with its data stack, which included Druid and Presto. This limitation prompted a team member to seek a more effective solution, leading to the initial creation of what would become the Apache Superset open-source project, which is now supported by the vendor, Preset.

Preset, through Apache Superset, provided a solution that acts as a thin layer atop Airbnb's data infrastructure. The platform offers first-class support for real-time analytics with integrations for numerous OLTP and OLAP databases, powerful time-series charts, alerting capabilities, and time-series forecasting. By implementing Superset, Airbnb was able to effectively visualize trends, monitor goals, and identify emergencies, establishing the foundation for a powerful, open-source BI tool that started at the company.


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