Redis compatibility meets durable SQL storage
Redge vs Redis. An honest comparison.
Both solve cache and state management. Redis does everything; Redge does what matters for most teams, with durability and simpler operations.
Durability
Data persistence
Redis: RDB snapshots, AOF logs
Redge: Native SQL backend (D1, Turso, Postgres, MySQL, SQLite)
✓ Redge
Backup strategy
Redis: Manage Redis backups separately
Redge: Use standard database backups
✓ Redge
Data on restart
Redis: Lost if snapshot fails
Redge: Always restored from SQL
✓ Redge
Deployment
Multi-region setup
Redis: Separate Redis per region
Redge: Single database, local cache per instance
✓ Redge
Edge deployment
Redis: ❌ Not practical at edge
Redge: Lightweight Redge + local SQLite
✓ Redge
Scaling horizontally
Redis: Complex replication topology
Redge: Redge instances share same backend
✓ Redge
Operations
Inspect state
Redis: CLI commands, no queryable storage
Redge: HTTP API + SQL backend inspection
✓ Redge
Debug production issues
Redis: Blind troubleshooting
Redge: Query exact keys and values in SQL
✓ Redge
Cost per GB
Redis: High (dedicated memory)
Redge: Low (SQL storage pricing)
✓ Redge
Developer Experience
Client compatibility
Redis: All Redis clients work
Redge: All Redis clients work (same protocol)
Tie
Learning curve
Redis: Proven, well-documented
Redge: Easy transition from Redis
Tie
Command support
Redis: Everything
Redge: Honest subset (strings, TTL, sorted sets, scan, transactions)
✓ Redis
Performance
Hot cache hit latency
Redis: Sub-millisecond
Redge: Sub-millisecond (same L1 cache)
Tie
Cold/backend latency
Redis: N/A (all in memory)
Redge: 5-20ms (depends on backend)
✓ Redis
Memory footprint
Redis: High (must fit in RAM)
Redge: Low (cache configurable, rest in SQL)
✓ Redge
Decision Guide
Which should you choose?
Use Redis if...
- You need sub-5ms latency on every request (publish/subscribe, message queues)
- You use Redis Cluster or complex replication topologies
- You need Lua scripting or blocking commands
- Cost is not a concern and you have dedicated DevOps expertise
Use Redge if...
- You want durability without managing snapshots
- You deploy across multiple regions or edge locations
- You need to inspect, backup, and query your operational state
- You prefer SQL backends your team already manages
- You want to start lean with SQLite and grow to managed Cloud
Migration Path
From Redis to Redge
No client rewrites. Change your connection string and Redge handles the rest.
1
Update connection string
Point your app to rediss://your-endpoint
2
Keep client code the same
ioredis, redis-py, go-redis all work unchanged
3
Configure backend
Set DATABASE_URL to D1, Turso, Postgres, or SQLite
4
Deploy and monitor
Use HTTP admin API to inspect state in production
Ready to switch?
Start self-hosting Redge for free or join the waitlist for Cloud endpoints.