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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d About the environment Grafana: version 10.0.0

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Oracle Database is a commercial, proprietary multi-model database management system produced by Oracle Corporation, and the largest relational database management system (RDBMS) in the world. While Oracle remains the #1 database on the market, its popularity has steadily declined by over 18% since 2013. Not available.

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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. For storage, FIO is generally used.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

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HammerDB v4.7 New Features Pt 3: Lightweight Docker Images for rapid testing

HammerDB

introduced a Dockerfile and Docker Images to pull from Docker Hub for rapid deployment of HammerDB with builds already including third-party database libraries. When the script has finished we can gather our results, having installed, started and run a benchmark in our HammerDB Docker image in 3 steps. HammerDB v4.5 TMP/hammer.DB