Case Study: JetBlue achieves real-time analytics and faster data pipelines with Fivetran

A Fivetran Case Study

Preview of the JetBlue Case Study

JetBlue flies high with Fivetran to fuel real-time analytics

JetBlue, the North American airline operating more than 900 flights a day, needed a better way to tame the huge volumes of data generated across its business, from customer feedback and operational systems to aircraft maintenance records. Before using Fivetran, data was spread across many sources and hard to access quickly enough for real-time decision-making.

JetBlue implemented Fivetran with Snowflake on Microsoft Azure to centralize data from SaaS tools and on-premise Oracle systems, using connectors and log-based change data capture to move information into its modern data stack. With Fivetran, JetBlue can set up pipelines in under two minutes, has unified data from 130 systems into more than 115TB in Snowflake, and has enabled self-service analytics that improve customer experience, operational efficiency, and predictive maintenance planning.


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JetBlue

Ashley Van Name

General Manager of Data Engineering


Fivetran

207 Case Studies