MariaDB

How MySQL 8.0.21 and MariaDB 10.5.4 Perform in IO-Bound Scenarios on SATA SSD and NVMe Storage

MySQL 8.0.21 and MariaDB 10.5.4 Perform in IO-Bound Scenarios

Continuing with the same topic and evaluating new versions of MariaDB and MySQL on Enterprise SSD Storage and How MySQL and MariaDB Perform on NVMe Storage, this time let’s take a look at how MySQL 8.0.21 and MariaDB 10.5.4 perform in IO-bound scenarios on both SATA SSD and NVMe storage.
To emulate the IO-bound scenario, […]

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How MySQL and MariaDB Perform on NVMe Storage

mysql mariadb nvme

MySQL and MariaDB on NVMe Storage  – The Great Equalizer
Continuing with the checkpointing topic I restarted a month ago with MongoDB, followed with PostgreSQL, and then with MySQL and MariaDB on Enterprise SSD Storage, this time let’s take a look at how MySQL and MariaDB perform on NVMe storage.
Benchmark
To evaluate MariaDB and MySQL, I […]

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Checkpointing in MySQL and MariaDB

Checkpointing in MySQL and MariaDB

Continuing with the checkpointing topic I restarted a month ago with MongoDB and followed with PostgreSQL, I wanted to check how MySQL and MariaDB perform.
It was actually some time when I last looked into MySQL in this regard, so I am curious how new MySQL versions (8.0.21 in this case) would perform. And while […]

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ClickHouse and ColumnStore in the Star Schema Benchmark

ClickHouse and ColumnStore

There were two new releases in the OpenSource Analytical Databases space, which made me want to evaluate how they perform in the Star Schema Benchmark.
I covered Star Schema Benchmarks a few times before:

Star Schema Bechmark: InfoBright, InfiniDB and LucidDB
ClickHouse in a General Analytical Workload (Based on a Star Schema Benchmark)

What are the new releases:
MariaDB […]

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MariaDB S3 Engine: Implementation and Benchmarking

MariaDB S3 Engine

MariaDB 10.5 has an excellent engine plugin called “S3”. The S3 storage engine is based on the Aria code and the main feature is that you can directly move your table from a local device to S3 using ALTER. Still, your data is accessible from MariaDB client using the standard SQL commands. This is […]

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