Apache Doris vs MySQL vs PostgreSQL: Performance and Speed Analysis

Benchmark Queries

The two queries used for benchmarking are:

Query 1:

SQL

SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;

This query aggregates data from the hits table, grouping by RegionID and ordering the results by c in descending order.

Query 2:

SQL

SELECT UserID FROM hits WHERE UserID = 435090932899640449;

This query retrieves the UserID from the hits table where UserID equals a specific value.

Benchmark Results

Query	Apache Doris	MySQL	PostgreSQL
Query 1 (Execution Time)	0.755 seconds	326.17 seconds	362.261 seconds
Query 2 (Execution Time)	0.038 seconds	2.263 seconds	4.913 seconds

Analysis

As evident from the benchmark results, Apache Doris outperforms both MySQL and PostgreSQL significantly in both queries. For Query 1, Apache Doris is 433 times faster than MySQL and 478 times faster than PostgreSQL. For Query 2, Apache Doris is 59 times faster than MySQL and 129 times faster than PostgreSQL.

Apache Doris Advantages

Apache Doris’s superior performance can be attributed to several factors:

• MPP (Massively Parallel Processing) Architecture: Apache Doris distributes data and computation across multiple nodes, enabling parallel processing and improving query performance.
• Columnar Storage: Apache Doris stores data in a columnar format, which allows for more efficient data compression and faster data access for analytical queries.
• Optimized Query Execution Engine: Apache Doris employs a highly optimized query execution engine that leverages techniques like vectorization and code generation to accelerate query processing.

Conclusion

Based on the benchmark results and analysis, Apache Doris emerges as the clear winner in terms of performance and speed. Its MPP architecture, columnar storage, and optimized query engine make it an ideal choice for analytical workloads that demand fast and efficient data processing.

If you’re looking for a database that can handle complex analytical queries with blazing speed, Apache Doris is the solution you need. Its superior performance and scalability make it well-suited for modern data warehousing and analytics applications.

Additional Considerations

While Apache Doris excels in performance, it’s important to consider other factors when choosing a database, such as:

• Data Volume and Usage Patterns: Assess your data volume and usage patterns to determine if Apache Doris’s MPP architecture is suitable for your workload.
• Feature Set and Compatibility: Evaluate the feature set of each database and ensure compatibility with your existing infrastructure and applications.
• Community and Support: Consider the size and activity of the database community and the availability of support resources.