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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

While Microsoft offers their own Azure Database product, there are other alternatives available that may be able to help you improve your MySQL performance. MySQL Azure Performance Benchmark. Check out our Benchmark Configuration section below the performance report to see how these tests were configured.

Azure 299
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have also used the default six test scenarios as defined by the YCSB framework. I have restricted it to 10M records for each test.

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Performance Testing at MongoDB

Alex Podelko

MongoDB has the most advanced continuous performance testing I know about. MongoDB shared a lot of information on how we do performance testing and even open sourced some parts of it. Continuous performance testing is built on the top of Evergreen. 34 (2020), Performance Testing with David Daly , is another good introduction.

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Introducing Page Speed Benchmarks – a new resource for the performance community

Speed Curve

What types of devices and connections should I test on? What are some good sites I can use for benchmarking? Page Speed Benchmarks is an interactive dashboard that lets you explore and compare web performance data for leading websites across several industries – from retail to media. How we set up our testing.

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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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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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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. On MySQL, we saw a 1.5X