Turso 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 | Turso | Cloudflare Workers |
|---|---|---|
| Overall | 8.2 | 8.5 |
| Capability fit | 7.8 | 8.6 |
| Price / performance | 9.0 | 9.2 |
| Latency / reliability | 8.4 | 9.2 |
| Developer & agent DX | 8.8 | 8.5 |
| Privacy / data retention | 8.2 | 8.0 |
| Lock-in risk (higher = worse) | 3.6 | 5.5 |
| Maturity / track record | 8.0 | 9.5 |
| Pricing | As of 2026-09-14 (turso.tech/pricing): Free $0 — 100 DBs, 5GB storage, 500M rows read, 10M written, 3GB embedded sync, 1-day PITR. Developer $4.99/mo; Scaler $24.92/mo; Pro $416.58/mo (annual-save prices shown). Unlimite… | Request-based Workers + Durable Objects + R2 + Queues; generous free tier; CPU time limits. |
| Tagline | Depot pick for edge/per-tenant SQLite agent state. Serverless Postgres pick stays Neon; hot KV stays Redis… | Best edge runtime for lightweight agent gateways and tools. Heavy LLM loops still belong on Modal/Fly/GPU… |
Turso
Depot pick for edge/per-tenant SQLite agent state. Serverless Postgres pick stays Neon; hot KV stays Redis; pgvector RAG stays Supabase. Strengths: Per-tenant/per-agent SQLite DBs are cheap and numerous; Edge replicas + embedded sync for local-first agents; Clear free→$5 path.
Strengths
- Per-tenant/per-agent SQLite DBs are cheap and numerous
- Edge replicas + embedded sync for local-first agents
- Clear free→$5 path
Weaknesses
- Rows-read metering can surprise chatty agents
- Not a full Postgres (Neon/Supabase) or vector-first DB
- Vector story is bring-your-own / extensions — not Pinecone-class
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