Ably 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 | Ably | Cloudflare Workers |
|---|---|---|
| Overall | 8.3 | 8.5 |
| Capability fit | 8.8 | 8.6 |
| Price / performance | 7.4 | 9.2 |
| Latency / reliability | 9.2 | 9.2 |
| Developer & agent DX | 8.4 | 8.5 |
| Privacy / data retention | 8.6 | 8.0 |
| Lock-in risk (higher = worse) | 5.2 | 5.5 |
| Maturity / track record | 9.2 | 9.5 |
| Pricing | As of 2026-10-24 (ably.com/pricing, fetched 2026-10-24): Messages '$2.50 / million' ('As low as $0.50/M with volume discount'); channels and connections '$1.00 / million mins' each ('As low as $0.20/M with volume discoun… | Request-based Workers + Durable Objects + R2 + Queues; generous free tier; CPU time limits. |
| Tagline | Depot pick for realtime agent↔user channels (token streaming, presence, multiplayer agent UIs). Not a… | Best edge runtime for lightweight agent gateways and tools. Heavy LLM loops still belong on Modal/Fly/GPU… |
Ably
Depot pick for realtime agent↔user channels (token streaming, presence, multiplayer agent UIs). Not a substitute for email/SMS orchestration or durable workflow engines. Strengths: Battle-tested pub/sub + presence for streaming agent tokens to clients; Clear free→$29 path; strong SLAs on Enterprise; AI Transport scenar
Strengths
- Battle-tested pub/sub + presence for streaming agent tokens to clients
- Clear free→$29 path; strong SLAs on Enterprise
- AI Transport scenarios documented on pricing page
Weaknesses
- Usage math (msg + conn + channel mins) easy to under-estimate
- Not a notification preference/orchestrator (pair with Knock/Courier)
- Overkill for pure server-side agent queues (use QStash/SQS)
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
More pairs: anthropic-vs-openai · openai-vs-google-ai · groq-vs-fireworks · fireworks-vs-together · qdrant-vs-pinecone · pinecone-vs-supabase-pgvector · e2b-vs-modal · browserbase-vs-firecrawl