Case Study: Atlassian achieves 5x faster analytics, sub-100ms queries and 5+ years retention with Imply

A Imply Case Study

Preview of the Atlassian Case Study

Imply helps Atlassian provide product usage analytics for their customers

Atlassian’s Confluence Analytics Experience team, responsible for surfacing user behavior insights in Confluence, needed a high-performance, scalable analytics database to support interactive, high-concurrency queries and growing data retention. After finding PostgreSQL unable to scale or deliver low-latency results, Atlassian chose Imply and deployed Imply Enterprise Hybrid (the enterprise distribution of Apache Druid) to run in their VPC with Imply’s management control plane.

Imply delivered a real-time, easy-to-manage analytics platform that replaced the PostgreSQL-based pipeline and enabled massive gains: up to 5X performance improvements, sub-100 ms latencies, five years-plus of data retention, and reliable funnel analysis on up to two years of data with real-time ingestion and aggregation. Atlassian also benefits from simpler cluster configuration using Imply Manager, meeting their need for speed, scale, and operational ease.


Open case study document...

Atlassian

Puneet Arora

Engineering Manager


Imply

44 Case Studies