Listen to what users say! Rahul Kolluri has provided a detailed technical comparison between Elasticsearch and Apache Doris based on real-world billing analytics scenarios. Based on his experience building dashboards and backend APIs around AWS usage and billing data, he saw Elasticsearch hit major limits when used for analytics.

Handle full-text search, audience segmentation, and aggregation analysis directly within Apache Doris and slash their storage costs by 80% while boosting write performance by 4x

Apache Doris is a real-time data warehouse commonly used for observability, cyber security analysis, online reports, customer profiles, data lakehouse and more. Elasticsearch is more like a search engine, but it is also widely used for data analytics, so there's an overlap in their use cases. The comparison in this post will focus on the real-time analytics capabilities of Apache Doris and Elasticsearch from a user-oriented perspective