vs

Azure Managed Redis vs Google Cloud Memorystore

Azure Managed Redis: Microsoft's managed Redis built on Redis Enterprise, replacing the retiring Azure Cache for Redis. Google Cloud Memorystore: Google Cloud's managed in-memory family: Valkey, Redis, Redis Cluster and Memcached.

key differences

  • Only Azure Managed Redis has secondary indexes, full-text search, json.

choose azure-cache-for-redis for

  • +Caching and session storage for Azure App Service and AKS apps
  • +Vector search and semantic caching for Azure OpenAI apps
  • +Globally shared leaderboards with active geo-replication

best at · Cache, Sessions, Pub/Sub

choose google-memorystore for

  • +Caching for GKE, Cloud Run and App Engine apps
  • +Session storage and rate limiting on Google Cloud
  • +Vector similarity lookups close to app data

best at · Cache, Sessions, Pub/Sub

overview
Primary model
Key-Value
Key-Value
Also supports
Document, Vector, Time-Series, Search Engine
Vector
Type
Managed service
Managed service
Status
Active
Active
Developer
Microsoft (with Redis Ltd.)
Google Cloud
First release
2025
2018
Latest version
Redis 7.4 (May 2026)
Valkey 9.1 (preview) (Jul 27, 2026)
License
ProprietaryAzure service terms
ProprietaryGoogle Cloud service terms
Free tier
—
—
popularity
WhichDB Score
0.4
5.6
Rank
#644
#377
GitHub stars
–
–
Stack Overflow questions
380
143
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
Native
Native
Multi-region
Active active
Read replicas
ACID
Limited
Limited
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
In memory, Distributed, Primary replica
In memory, Primary replica, Distributed
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
Azure
Google Cloud
capabilities
Transactions
✓
✓
Joins
—
—
Secondary indexes
✓
—
Full-text search
✓
—
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
—
Change data capture
—
—
Triggers
—
—
Stored procedures
✓
✓
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
✓
✓
Columnar storage
—
—
In-memory
✓
✓
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Redis commands (RESP), Lua, Redis Query Engine (FT.*)
Redis commands (RESP), Memcached protocol, Lua
Client languages
Python, Java, JavaScript, Go, C#, Rust, Ruby, PHP
Python, Java, JavaScript, Go, C#, Rust, Ruby, PHP
Best for
Cache, Sessions, Pub/Sub, Queue
Cache, Sessions, Pub/Sub, Vector search

Azure Managed Redis vs Google Cloud Memorystore: FAQ

What is the difference between Azure Managed Redis and Google Cloud Memorystore?

Azure Managed Redis: Microsoft's managed Redis built on Redis Enterprise, replacing the retiring Azure Cache for Redis. Google Cloud Memorystore: Google Cloud's managed in-memory family: Valkey, Redis, Redis Cluster and Memcached. Only Azure Managed Redis has secondary indexes, full-text search, json.

When should I choose Azure Managed Redis over Google Cloud Memorystore?

Choose Azure Managed Redis for caching and session storage for Azure App Service and AKS apps; vector search and semantic caching for Azure OpenAI apps; and globally shared leaderboards with active geo-replication. Choose Google Cloud Memorystore for caching for GKE, Cloud Run and App Engine apps; session storage and rate limiting on Google Cloud; and vector similarity lookups close to app data.

Is Azure Managed Redis or Google Cloud Memorystore more popular?

Google Cloud Memorystore ranks #377 on the WhichDB Score (5.6/100) and Azure Managed Redis ranks #644 (0.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Azure Managed Redis and Google Cloud Memorystore open source?

No. Azure Managed Redis is proprietary, closed-source software. License: Azure service terms. No. Google Cloud Memorystore is proprietary, closed-source software. License: Google Cloud service terms.