Apache Doris consistently delivers significantly faster performance in large-scale benchmarks spanning both straightforward JOINs and production-grade TPC-H/TPC-DS workloads. On top of that, Apache Doris requires just 10%-20% of the cost of Snowflake or ClickHouse for OLAP workloads.

Apache Doris, a popular real-time data warehouse, ranked first in the latest RTABench results, setting a new benchmark for real-time analytics performance. In standardized tests, Doris delivered up to 6 times the performance of ClickHouse, 30 times that of PostgreSQL, and 100 times that of MongoDB.

At the core of database systems, the query optimizer acts as a shrewd strategist, constantly analyzing data traits to devise the optimal execution plans. Apache Doris, a high-performance MPP analytical database, employs a built-in Data Trait analysis mechanism in its optimizer. By uncovering statistical traits and semantic constraints within the data, Data Trait provides fundamental support for query optimization. Let’s explore its power!