# StarRocks vs Apache Doris: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: StarRocks wins for sub-second multi-table relational joins, cost-based optimizer (CBO), and direct vectorized query acceleration on Apache Iceberg and Delta Lake across 12.2k+ GitHub stars (99.4), while Apache Doris wins for high-concurrency point lookups, full-text inverted index search, and flexible partial column updates across 16.1k+ GitHub stars (99.1).

- **Category**: Vectorized MPP Lakehouse Joins vs High-Concurrency Real-Time Search & Point Queries Shootout
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## StarRocks Key Advantages
- 12,199+ GitHub stars under Apache-2.0 as next-generation vectorized MPP SQL query engine
- Sub-second multi-table joins on star and snowflake schemas with direct query execution over Apache Iceberg and Delta Lake
- Cuts commercial Snowflake compute bills ($3-$4/credit) down to $640/mo self-hosted (-95.8%)

## Apache Doris Key Advantages
- 16,131+ GitHub stars under Apache-2.0 as high-performance real-time analytical database
- High-concurrency point queries with built-in inverted index for full-text keyword search and log analysis
- Flexible partial column updates and real-time streaming ingestion from Kafka and Flink