Compare the Top Caching Solutions that integrate with Kubernetes as of June 2025

This a list of Caching solutions that integrate with Kubernetes. Use the filters on the left to add additional filters for products that have integrations with Kubernetes. View the products that work with Kubernetes in the table below.

What are Caching Solutions for Kubernetes?

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 Kubernetes currently available using the table below. This list is updated regularly.

  • 1
    NGINX
    NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is a software load balancer, web server, and content cache built on top of open source NGINX. Use NGINX Plus instead of your hardware load balancer and get the freedom to innovate without being constrained by infrastructure. Save more than 80% compared to hardware ADCs, without sacrificing performance or functionality. Deploy anywhere: public cloud, private cloud, bare metal, virtual machines, and containers. Save time by performing common tasks through the built‑in NGINX Plus API. From NetOps to DevOps, modern app teams need a self‑service, API‑driven platform that integrates easily into CI/CD workflows to accelerate app deployment – whether your app has a hybrid or microservices architecture – and makes app lifecycle management easier.
  • 2
    IBM Cloud Content Delivery Network
    Your users expect fast load times for your web apps. But content delivery can be slow and inconsistent. IBM® Content Delivery Network provides content caching on the Akamai network, so content is delivered at record speed. Serve non-cacheable dynamic content with optimized performance, and automatically scale your service with pay-as-you-go pricing. IBM Cloud® has partnered with Akamai to offer the most comprehensive features, while ensuring affordability. This partnership combines Akamai's presence, nearly 1,700 networks in 136 countries, with IBM's global cloud footprint of 60-plus data centers in 19 countries, to bring the content closest to where you need it most, your users. Host and serve website assets, images, videos and documents, and user-generated content in cloud object storage. Ensure faster, more secure delivery to users worldwide. Deliver content at record speed to meet and exceed customer expectations.
    Starting Price: $0.025 per GB per month
  • 3
    F5 NGINX Plus
    The software load balancer, reverse proxy, web server, & content cache with the enterprise features and support you expect. Modern app infrastructure and dev teams love NGINX Plus. More than just the fastest web server around, NGINX Plus brings you everything you love about NGINX Open Source, adding enterprise‑grade features like high availability, active health checks, DNS system discovery, session persistence, and a RESTful API. NGINX Plus is a cloud‑native, easy-to-use reverse proxy, load balancer, and API gateway. Whether you need to integrate advanced monitoring, strengthen security controls, or orchestrate Kubernetes containers, NGINX Plus delivers the five‑star support you expect from NGINX. NGINX Plus provides scalable and reliable high availability along with monitoring to support debugging and diagnosing complex application architectures. Active health checks proactively poll upstream server status to get ahead of issues.
  • 4
    Tarantool

    Tarantool

    Tarantool

    Corporations need a way to ensure uninterrupted operation of their systems, high speed of data processing, and reliability of storage. The in-memory technologies have proven themselves well in solving these problems. For more than 10 years, Tarantool has been helping companies all over the world build smart caches, data marts, and golden client profiles while saving server capacity. Reduce the cost of storing credentials compared to siloed solutions and improve the service and security of client applications. Reduce data management costs of maintaining a large number of disparate systems that store customer identities. Increase sales by improving the speed and quality of customer recommendations for goods or services through the analysis of user behavior and user data. Improve mobile and web channel service by accelerating frontends to reduce user outflow. IT systems of large organizations operate in a closed loop of a local network, where data circulates unprotected.
  • 5
    Oracle Coherence
    Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center.
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