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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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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130
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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 Most Important MySQL Setting

Percona

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? Sysbench ran on a third server, which I’ll refer to as the application server (APP).

Tuning 137
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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. Performance Testing. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test.

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PostgreSQL: Pgpool-II Use Cases and Benefits

Percona

Load balancing One of the primary benefits of using pgpool-II is its ability to distribute incoming client connections across multiple PostgreSQL servers, allowing you to balance the load and increase the capacity of your database cluster. This can significantly improve query response times and reduce the load on your database servers.

Cache 116
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Impact of Querying Table Information From information_schema

Percona

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark.

Cache 105