According to a recent LinkedIn post from ClickHouse, online travel platform Trip.com reported $8.9 billion in FY2025 revenue with 17% year-over-year growth and a 60% increase in international bookings. The post links this performance context to prior engineering choices around observability infrastructure.
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The company’s LinkedIn post highlights that Trip.com migrated its entire logging platform from Elasticsearch to ClickHouse in 2024, scaling from 4 petabytes to more than 50 petabytes of data. The post suggests this move reduced query times by 4–30x, lowered storage costs by over 50%, and improved latency, while keeping most user dashboards intact.
For investors, the post underscores ClickHouse’s role as a database technology supporting large-scale, latency-sensitive workloads at a major global travel platform. This could indicate growing adoption of ClickHouse in mission-critical analytics and logging, potentially reinforcing its competitive position in high-performance data infrastructure markets.
The described performance and cost gains may also signal to investors that enterprises facing rapid data growth could view ClickHouse as an alternative to incumbent search and analytics stacks. If such case studies translate into broader commercial traction, ClickHouse could benefit from expanding enterprise demand in observability, analytics, and real-time data applications.