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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. MySQL Azure Performance Benchmark. Balanced Workloads.

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 used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. Load and 2.

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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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Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. While a database is barely getting started at 20,000 rows, a spreadsheet could be hanging. Rahman et al. Towards faster spreadsheets.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52
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Towards multiverse databases

The Morning Paper

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. Such a design rules out an entire class of application errors, protecting private data from accidentally leaking. HotOS’19. Managing universes.