Redis vs Memcached

Growth happens. Use a caching solution that can grow with your business.

Why Redis Open Source over Memcached

Redis and Memcached are popular, open-source, in-memory data stores. Memcached is a cache-focused key/value store. Redis is also a key/value store often used for caching, but is also often utilized as a primary database or a message broker and offers a clear growth path to an enterprise-hardened solution.

You’ll eventually outgrow both Redis open source and Memcached as your business grows and will require an enterprise solution. Start with the open source caching solution that provides a clear path to an enterprise-hardened solution.

Redis Enterprise can be leveraged as a self-managed or a DBasS platform that unlocks the full potential of Redis at enterprise scale.

Get a complimentary, personalized report of the value Redis Enterprise could deliver to your business.

Featured customers

Redis Enterprise has high availability, robust resilience, best-in-class performance with linear scalability, and purpose-built data models, making it ideally suited to power globally distributed applications across any industry.

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We were relying on OSS Redis, so it was easy to go forward with Redis Enterprise for increased support and to make scaling easier—and it couldn’t get any easier from a developer standpoint.

Anton Dollmaier

Senior Site Reliability Engineer

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With Redis Enterprise, we’ve been able to improve responsiveness on our website as well as our strategic mobile app, resulting in higher customer satisfaction and additional revenue.

Dani Mohr

Head of Software Development

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It really wasn’t cost-effective to maintain [open source] Redis internally; it was a lot better to get involved with others who were experts in the technology.

Spenser Aden

Senior Director of Product Architecture

How does Redis compare to Memcached?

Use a solution that is more than just a cache and comes with data replication, persistence and scalability.

MemcachedRedis Open SourceRedis Enterprise
Boost app performance
Scale with read-replica caching
Support enterprise caching (write-behind, write-through)
BuildGUI with predefined developer guides and tools
Multiple Data Models
Rapid development with out-of-the-box object mapping libraries for Spring, ASP.NET Core, Fast API, and Express
Build any real-time app with extended data models and processing engine support (JSON, search, time series, graph)
Ingest data from external data sources
DeployHybrid deployments
Multi-cloud deployments
Deliver consistent real-time customer experience with globally geo-distributed databases
Database and cluster management (scaling, re-sharding, re-balancing)
RunHigh availability and disaster recovery management
Comprehensive documentation
Enterprise-grade customer support

See how Redis open source and Memcached compare in more detail

See how Redis open source and Redis Enterprise compare in more detail

Choose the right database: Redis open source or Redis Enterprise

Redis Enterprise enables:

Uninterrupted high availability

Safeguard your most critical data from interruption with automatic failover and a 99.999% Service Level Agreement that guarantees under 30 seconds of downtime per month.

Real-time performance at any scale

Scale linearly to increase cache throughput without increasing management overhead, achieving sub-millisecond latency at virtually any scale.

A unified hybrid and multicloud data layer

Support modern architectures with a unified real-time data layer that deploys on premises, in a single cloud, or across your hybrid and multicloud environments.

Global scale with low local latency

Deploy a unified multi-region cache that enables you to scale globally in real-time, avoiding latency as data travels across regions.

Support from the best at Redis

Be prepared for the unexpected with the most knowledgeable enterprise-grade support, provided by the creators of Redis.

Cost efficiency to cache more data at a lower cost

Cut costs with better resource utilization and intelligent tiering that maintains performance by only using expensive RAM where you really need it.