"We had outgrown our legacy systems, but with the Databricks Data Intelligence Platform—especially Lakebase and Databricks Apps—we've built a revenue management app that's faster, simpler, and far more reliable."
- Dennis Michon, Head of Data Product, easyJet
easyJet, one of Europe’s leading low-cost airlines, is modernising a decade-old revenue management stack by moving to the Databricks Data Intelligence Platform. With Lakebase, Delta Lake, Unity Catalog, Lakeflow and Databricks Apps, the team is turning a legacy desktop RMS and sprawling SQL Server estate into a unified, governed hub for commercial decision-making.
Key highlights:
- Faster app delivery: Revenue management apps now launch in about 4 months, down from 6–9 months, helping easyJet respond faster to changing market conditions.
- Simpler engineering footprint: More than 100+ Git repos have been consolidated into just 2, streamlining pipelines, CI/CD and maintenance.
- Unified operational + analytical data: Lakebase captures live booking and pricing activity, while Delta Lake powers analytics from the same lakehouse, keeping trading decisions aligned with real-time demand and longer-term trends.
- Centralised governance and automation: Unity Catalog governs access end to end, and Lakeflow Jobs & Declarative Pipelines keep fares, reports and checks up to date with less manual oversight.
- Modern apps for trading teams: Databricks Apps provide a single, governed workspace where trading teams can analyse demand, compare fares, and act on pricing strategies without juggling legacy tools.
Curious how easyJet is turning a legacy revenue management system into a modern airline retailing hub on Databricks?
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