Databases Key-Value / Cache mature

Redis

In-memory data structure store for sub-millisecond latency

68.0K stars 700 contributors Since 2009
Website → GitHub

In-memory key-value store supporting strings, hashes, lists, sets, sorted sets, streams, and modules for JSON, search, time-series, and graph data structures.

License
RSALv2
Min RAM
128 MB
Min CPUs
1 core
Scaling
horizontal
Complexity
beginner
Performance
enterprise grade
Self-hostable
✓
K8s native
✕
Offline
✓
Pricing
fully free
Docs quality
excellent
Vendor lock-in
none

Use cases

  • ✓ Application cache layer for database query results
  • ✓ Session storage for web applications
  • ✓ Real-time leaderboards and counters
  • ✓ Message broker with Streams
  • ✓ Rate limiting and throttling

Anti-patterns / when NOT to use

  • ✕ Data must fit in RAM - expensive at scale
  • ✕ Not for primary data storage (persistence is secondary)
  • ✕ Complex data relationships not supported
  • ✕ License changed from BSD - check RSALv2 terms

Integrates with

Mattermost
Team Chat
GitLab CE
CI/CD
PostgreSQL
Relational
Plane
Project Tracker
Nextcloud
File Storage
Supabase
Backend-as-Service
Listmonk
Newsletter
n8n
Workflow
python-apps
nodejs

Complements

GitLab CE
CI/CD
PostgreSQL
Relational
Supabase
Backend-as-Service
Elasticsearch
Search
MySQL
Relational
n8n
Workflow

Compare with alternatives

Conflicts with

KeyDB
Databases
Dragonfly
Databases

Replaces / alternatives to

  • Memcached
  • DynamoDB for caching

Technical specs

Language
C
API type
SDKCLI
Protocols
RESP
Data model
kv
Deployment
aptdockerbinary
SDKs
pythonjavascriptjavagorustrubyphpcc#

Community

GitHub stars 68.0K
Contributors 700
Commit frequency weekly
Plugin ecosystem medium
Backing Redis Ltd
Funding open_core

Release

Latest version —
Last release —
Since 2009

Best fit

Team size
solosmallmediumenterprise
Industries
generalfintechgamingsocial-mediae-commerce

Tags

  • cache
  • in-memory
  • key-value
  • pub-sub
  • streams
  • data-structures
  • session-store