Restate vs Inngest
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 | Restate | Inngest |
|---|---|---|
| Overall | 8.2 | 8.1 |
| Capability fit | 8.6 | 8.2 |
| Price / performance | 7.8 | 8.0 |
| Latency / reliability | 8.8 | 8.4 |
| Developer & agent DX | 8.4 | 9.0 |
| Privacy / data retention | 8.4 | 7.8 |
| Lock-in risk (higher = worse) | 3.8 | 4.2 |
| Maturity / track record | 7.4 | 7.8 |
| Pricing | As of 2026-09-14: Restate Cloud public usage-based — free tier 50k actions/mo, no card (restate.dev/blog/announcing-restate-cloud-public + docs). Paid action rates sales/console (marketing /pricing page thin to bots). BY… | As of 2026-09-14: Hobby $0 (50k executions); Pro from $99/mo (1M executions, PAYG to 20M); Enterprise custom. OSS self-host available. Step functions with retries, fan-out, and observability aimed at event-driven agents. |
| Tagline | Strong Temporal alternative for durable AI agents, especially on Workers/Vercel. Remains medium until paid… | Best DX default for durable agent workflows in TypeScript/Python. Temporal when you need harder multi-lang… |
Restate
Strong Temporal alternative for durable AI agents, especially on Workers/Vercel. Remains medium until paid $/action card is durably public. Depot durability pick stays Temporal Cloud. Strengths: Durable agents/workflows with journaled LLM/tool steps; Serverless invoker tunnel (Workers/Vercel/Deno); Free 50k actions + B
Strengths
- Durable agents/workflows with journaled LLM/tool steps
- Serverless invoker tunnel (Workers/Vercel/Deno)
- Free 50k actions + BYOC path
Weaknesses
- Public paid rate card still thin vs Temporal/Inngest
- Younger mindshare
- Action definition nuances need careful cost modeling
Inngest
Best DX default for durable agent workflows in TypeScript/Python. Temporal when you need harder multi-lang scale. Strengths: Great DX for durable steps; Fair free tier; OSS escape hatch.
Strengths
- Great DX for durable steps
- Fair free tier
- OSS escape hatch
Weaknesses
- Less multi-language maturity than Temporal
- Execution pricing to model
- Younger at extreme scale
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