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Redis vs Cloudflare Workers
Agent-native side-by-side. Scores are curated estimates on a 0–10 scale. Lock-in: higher = worse. Prefer JTBD picks via /api/decide when choosing for a job.
| Dimension | Redis | Cloudflare Workers |
|---|---|---|
| Overall | 8.1 | 8.5 |
| Capability fit | 8.2 | 8.6 |
| Price / performance | 7.0 | 9.2 |
| Latency / reliability | 9.0 | 9.2 |
| Developer & agent DX | 8.5 | 8.5 |
| Privacy / data retention | 7.5 | 8.0 |
| Lock-in risk (higher = worse) | 4.0 | 5.5 |
| Maturity / track record | 9.6 | 9.5 |
| Pricing | Redis OSS + Redis Cloud; vector search via Redis Query Engine; pay for memory-centric hosting. | Request-based Workers + Durable Objects + R2 + Queues; generous free tier; CPU time limits. |
| Tagline | Use as agent hot memory/cache, not as your only 100M-vector archive. | Best edge runtime for lightweight agent gateways and tools. Heavy LLM loops still belong on Modal/Fly/GPU… |
Redis
Use as agent hot memory/cache, not as your only 100M-vector archive. Strengths: Ultra-low latency KV + vectors; Ubiquitous in stacks already; Great session/memory cache for agents.
Strengths
- Ultra-low latency KV + vectors
- Ubiquitous in stacks already
- Great session/memory cache for agents
Weaknesses
- RAM cost at large vector corpora
- Not ideal as sole long-term vector warehouse
- Cluster ops complexity
Cloudflare Workers
Best edge runtime for lightweight agent gateways and tools. Heavy LLM loops still belong on Modal/Fly/GPU hosts. Strengths: Insane global edge; R2 zero-egress narrative; Durable Objects for agent state.
Strengths
- Insane global edge
- R2 zero-egress narrative
- Durable Objects for agent state
Weaknesses
- CPU/time limits constrain heavy agent loops
- Vendor-specific programming model
- Debugging distributed edge is hard
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