Best Caching Solutions for Yandex Cloud
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Compare the Top Caching Solutions that integrate with Yandex Cloud as of April 2026
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This a list of Caching solutions that integrate with Yandex Cloud. Use the filters on the left to add additional filters for products that have integrations with Yandex Cloud. View the products that work with Yandex Cloud in the table below.
What are Caching Solutions for Yandex Cloud?
Caching solutions are software or systems designed to temporarily store frequently accessed data in a fast-access storage layer, such as memory, to improve the performance and scalability of applications or services. These solutions work by keeping a copy of data closer to the application or user, reducing the need to repeatedly fetch data from slower storage systems or databases. Caching solutions are commonly used in web applications, content delivery networks (CDNs), and distributed systems to enhance response times and reduce latency. Popular caching techniques include in-memory caching, distributed caching, and database caching, which help manage large-scale data efficiently and optimize resource usage. Compare and read user reviews of the best Caching solutions for Yandex Cloud currently available using the table below. This list is updated regularly.
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Yandex Cloud CDN
Yandex
Decrease load times for your services' media content by leveraging content caching on geographically distributed CDN servers. CDN servers located all over the world get content from your origins, cache, and deliver it to end users upon request. Group servers hosting the same content to distribute your load more efficiently and deliver content even faster. Set up content caching for CDN servers and browsers, set the lifetime for file copies, and preload large files before they are even requested. In Yandex Cloud CDN, you can analyze metrics of downloaded and sent traffic and the number of requests and errors over the past 30 days. -
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You can deploy a ready-to-use cluster in just a few minutes. DB settings are initially optimized for the cluster size you selected. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Redis stores data in key-value format, supported values include strings, arrays, dictionaries, sets, bitmasks, and other types. Redis runs in RAM and is therefore suitable for tasks that require a quick response or involve performing a large number of operations on a relatively small amount of data. Backups of database contents are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. Set a time limit for Yandex Managed Service for Redis to automatically delete data and optimize your data storage costs.
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