12/17/2023 0 Comments Postgresql vs mysql performance 2016![]() ![]() SysBench supports multiple database drivers and scriptable tests in the Lua programming language, so we decided to use this tool for both databases. The standard PostgreSQL tool for performance tests is pgbench, while for MySQL it’s SysBench. A fair comparison only makes sense if the workloads are as close as possible. The first thing we needed to agree on is which tool to use. Note that machines with smaller numbers of CPU cores and faster disks are more common for MySQL installations than machines with larger numbers of cores. Processors: physical = 2, cores = 12, virtual = 24, hyperthreading = yes Processors: physical = 4, cores = 72, virtual = 144, hyperthreading = yes PostgreSQL Professional together with Freematiq provided two modern, powerful machines for tests. OpenSource Databases on Big Machines, Series 1: “That Was Close…” Spoiler: We are far from the final results. That way we could compare different real-world use case scenarios and popular options. We expected to test base functionality, and then work on more detailed comparisons. We wanted to test both databases on the same hardware, using the same tools and tests. So instead, I found the chance to work with the Postgres Professional company and identify both the strong and weak points of the two databases an excellent opportunity. ![]() ![]() As a Support Engineer, I often work with customers who have heterogeneous database environments in their shops, and want to know about the impact of migrating jobs from one database to another. As our graphs will show, we’ve passed that mark already. Sveta: Dimitri Kravtchuk regularly publishes detailed benchmarks for MySQL, so my main task wasn’t confirming that MySQL can do millions of queries per second. So we have a pretty decent cast for this particular play! Alexander Korotkov is a PostgreSQL major contributor, and the developer of a number PostgreSQL features – including the CREATE ACCESS METHOD command, generic WAL interface, lockfree Pin/UnpinBuffer, index-based search for regular expressions and much more. Sveta has worked as Senior Principal Technical Support Engineer in the Bugs Verification Group of the MySQL Support Group at Oracle for more than eight years, and since 2015 has worked as a Principal Technical Services Engineer at Percona. The task fell to database experts with years of hands-on experience. However, because both PostgreSQL and MySQL ecosystems evolved independently, with standard testing tools (pgbench and SysBench) used for each database, it wasn’t an easy journey. Sveta and Aleksander wanted to test the most recent versions of both MySQL and PostgreSQL with the same tool, under the same challenging workloads and using the same configuration parameters (where possible). The idea behind this research is to provide an honest comparison for the two popular RDBMSs. The comparative research of PostgreSQL 9.6 and MySQL 5.7 performance will be especially valuable for environments with multiple databases. That’s why in this blog post, we share the benchmark testing results from Alexander Korotkov (CEO of Development, Postgres Professional) and Sveta Smirnova (Principal Technical Services Engineer, Percona). This blog compares how PostgreSQL and MySQL handle millions of queries per second.Īnastasia: Can open source databases cope with millions of queries per second? Many open source advocates would answer “yes.” However, assertions aren’t enough for well-grounded proof. ![]()
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