Apache Doris compute-storage decoupled mode achieves 90% cost reduction and provides elasticity and workload isolation, while maintaining high performance in data ingestion and queries.

This version features improved SQL hash calculation, enhanced query result accuracy, and new metrics for better storage management. It also resolves critical bugs across multiple areas, enhancing the data management experience.

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