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

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Application example: user profile cache, where profiles are constructed elsewhere (e.g., However, user can run the bench for as many numbers as they practically find suitable. About YCSB. Following configurations were used for the evaluation purpose.

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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold.

Servers 57
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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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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 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 138
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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 118