Riverqueue vs Upstash
Upstash scores higher on the AgentReady, 72/100 against 45/100. They differ on 9 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Riverqueue. Fast and reliable background jobs in Go.
Upstash. Serverless data platform providing Redis, Vector database, messaging, workflow orchestration, and secure cloud containers for AI agents.
Where Upstash is ahead
Upstash passes clear product positioning and mcp discoverable, and Riverqueue does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented. Riverqueue misses it.
And on adopt, self-service signup, fast time to first request and mcp integration available. Riverqueue misses those.
Finally, on operate, rate-limit behavior predictable, observable execution and agent compatibility verified. Riverqueue misses those.
What neither does
Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, agent-compatible signup flow, programmatic credential creation, structured, predictable output, machine-readable errors, idempotency support. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover. Upstash leads 100 to 73. Riverqueue misses clear product positioning, mcp discoverable; Upstash misses nothing.
Understand. Upstash leads 38 to 31. Riverqueue misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Upstash misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.
Adopt. Upstash leads 80 to 48. Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available; Upstash misses agent-compatible signup flow, programmatic credential creation.
Operate is whether an agent can run against it in production and recover when a call fails. Upstash leads 71 to 29. Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Upstash misses structured, predictable output, machine-readable errors, idempotency support.
Pricing
Riverqueue does not publish a machine-readable starting price and has a free tier. Upstash starts at $0/mo and has a free tier.
| Riverqueue plans | Upstash plans |
|---|---|
| - | Free $0 |
| - | Pay as you go $0.2 per 100K commands |
| - | Fixed 250MB $10/month |
| - | Fixed 1GB $10/month |
| - | Fixed 5GB $10/month |
| - | Fixed 10GB $10/month |
| - | Fixed 50GB $10/month |
| - | Fixed 100GB $10/month |
| - | Fixed 500GB $10/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Riverqueue | Upstash |
|---|---|---|
| AgentReady | 45 | 72 |
| Discovery | 73 | 100 |
| Understanding | 31 | 38 |
| Adoption | 48 | 80 |
| Operability | 29 | 71 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | No | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Unknown | Yes |
| Free tier | Yes | Yes |
Which to pick
Upstash clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Riverqueue and Upstash. Alternatives to each: Riverqueue, Upstash.
An agent can fetch this as data: POST /v1/compare {"slugs": ["riverqueue", "upstash"]}