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Head-to-head · Caching Software

Google Cloud Memorystore vs Memcached

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Google Cloud Memorystore #3 in Caching Software 9.1/10 Paid ✓ 1 of 3 features Visit Google Cloud
Memcached #4 in Caching Software 9.0/10 Free plan Free plan✓ 2 of 3 features Visit Memcached

Google Cloud Memorystore leads on 0 checks, Memcached on 1, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreGoogle Cloud Memorystore · 9.1/10
  • Free planonly Memcached
  • Most featuresMemcached · 2 of 3

Google Cloud Memorystore scores higher on our rubric for caching software: 9.1 against 9.0 out of 10; our editors rank them #3 and #4.

Memcached offers free plan; Google Cloud Memorystore doesn't.

Google Cloud Memorystore is the better fit for google Cloud users wanting managed Redis. Memcached is the better fit for mature, lightweight self-hosted object caching.

  • Google Cloud Memorystore fits best

    Google Cloud users wanting managed Redis

  • Memcached fits best

    Mature, lightweight self-hosted object caching

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Side by side

Feature Google Cloud Memorystore 9.1/10 Visit ↗ Memcached 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #3 in Caching Software #4 in Caching Software
Best for Google Cloud users wanting managed Redis Mature, lightweight self-hosted object caching
Pricing model Paid Free
Starting price — Free plan
Free plan — ✓ (best)
Free trial — —
Deployment Cloud Self-hosted
Platforms Web Linux, macOS
Support Docs Community, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Google Cloud Memorystore 1/3 · Memcached 2/3
Edge caching Not checked yet Not checked yet
Data persistence Not checked yet ✓ (best)
High availability ✓ ✓
Specs
Deployment Not checked yet Self_hosted
Cache targets Not checked yet database-call results, API-call results, page-rendering results
Supported cache engines Not checked yet Text protocol, Meta Text protocol, Binary protocol, SASL authentication
Our review
Pros
  • High-availability tier adds cross-zone replication and automatic failover
  • Supports read replicas and scaling up to 300 GB
  • Private networking, TLS, monitoring, and logging fit Google Cloud environments
  • Free and open source with Linux, macOS, API, and self-hosted support
  • Distributed client-side selection with LRU eviction and item expiration
  • Meta protocol adds anti-stampede and stale-serving mechanisms
Cons
  • No free plan is available
  • Automatic backups are not supported
  • Usage-based pricing varies by region, capacity, tier, and replicas
  • Core servers do not replicate cached data
  • Requires client integration and self-hosted administration
  • Advanced routing depends on the optional built-in proxy
Our verdict

Google Cloud Memorystore is a fully managed in-memory data service for application caches and low-latency workloads. Its Redis offering is aimed at teams running applications on Google Cloud environments such as Compute Engine, Google…

Read the review →

Memcached is a free, open-source distributed memory object caching system for applications that need to reduce load from database calls, API calls, or page rendering. It stores small arbitrary values in an in-memory key-value store, with…

Read the review →
  1. Google Cloud MemorystoreCaching Software 9.1Paid
  2. MemcachedCaching Software 9.0Free plan

Strengths and trade-offs

  • Google Cloud Memorystore — where it wins

    • High-availability tier adds cross-zone replication and automatic failover
    • Supports read replicas and scaling up to 300 GB
    • Private networking, TLS, monitoring, and logging fit Google Cloud environments

    Where it doesn't

    • No free plan is available
    • Automatic backups are not supported
    • Usage-based pricing varies by region, capacity, tier, and replicas
  • Memcached — where it wins

    • Free and open source with Linux, macOS, API, and self-hosted support
    • Distributed client-side selection with LRU eviction and item expiration
    • Meta protocol adds anti-stampede and stale-serving mechanisms

    Where it doesn't

    • Core servers do not replicate cached data
    • Requires client integration and self-hosted administration
    • Advanced routing depends on the optional built-in proxy

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update