Expedia Group’s Financial Impact Analysis product, Impulse, collects and processes a vast amount of data across different Lines of Business, Points of Sale, and brands. To maintain a high performance standard, Expedia Group required an equally high-performance database. Enter InfluxDB, which plays a crucial role in handling real-time time-series data related to booking trends, predicted numbers, and revenue loss due to incidents.

For use with Impulse, InfluxDB functions as an all-in-one time series database capable of powerful querying and ingestion of large volumes of data in near real-time. These features translate to business value in several ways. InfluxDB enables precise tracking of how bookings evolve over time and simple analysis of revenue loss based on incident data and booking trends. It also supports Impulse’s alerting and notification system. With InfluxDB, Impulse can notify users of any booking degradations promptly, mitigating potential revenue loss. Furthermore, InfluxDB’s retention policies and downsampling features are useful for managing the vast amounts of historical data generated by the system, ensuring that older data can be aggregated efficiently, maintaining performance, and preventing database bloat.

Overall, InfluxDB supports the efficient processing and analysis of real-time booking data and revenue-impacting incidents, making it a key component of Impulse’s ability to provide actionable insights and real-time alerts to its users.