![]() There’s a second reason why in-memory databases are fast. Benchmarks with only MySQL and with MySQL and Redis. Moreover, even with SSDs, RAM is still up to 30 times faster because of its more performant memory chips and CPU interface. Some benchmarking tests have shown that using MySQL with Redis - a popular in-memory database - as a caching layer can decrease query latency by up to 25% versus using a standalone MySQL database. The HDD must then read the data and transfer it via the interface between the storage device and the computer. Fast websites rank better in search results, increasing the chances of users visiting your website.īecause in-memory databases store data in RAM, they experience far lower latency than an HDD, which uses mechanical, moving parts to access the correct disk location. Additionally, Google and other search engines also use site load speeds as a factor in SEO. Users who find the website responsive are more likely to continue using it. Reducing latency is particularly important for websites. They are also helpful for caching data that you usually store in a disk-based database to reduce the number of reads and writes to the disk and minimize latency. In-memory databases are an excellent option for applications that require fast or real-time data, such as leaderboards or real-time analytics. Unlike disk storage, memory doesn’t retain its contents upon power loss, so there’s a trade-off of resilience versus speed. This low latency comes at a cost because the data stored in memory will be lost if a server fails. Therefore, the CPU overhead is lower when reading and writing data. ![]() First, accessing data from memory is faster than from a disk, and second, the data structures used to store data in memory are more straightforward than disk storage. Latency reduction is due to two main reasons. In-memory databases use RAM instead of hard disk drives (HDD) or solid-state drives (SSD) to store data, drastically reducing the latency of reading and writing data.
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