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Fauna vs Riverqueue

Riverqueue scores higher on the AgentReady, 45/100 against 20/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Fauna. Fauna is a distributed serverless database that combines document flexibility with relational power, automatic scaling, and zero operational overhead.

Riverqueue. Fast and reliable background jobs in Go.

Where Riverqueue is ahead

Riverqueue passes clear canonical domain, public docs discoverable, llms.txt published, llms-full.txt / full agent docs and machine-readable metadata, and Fauna does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Fauna misses it.

And on adopt, no mandatory sales call, copyable quickstart and cli available. Fauna misses those.

Finally, on operate, canonical workflow succeeds and retry behavior documented. Fauna misses those.

What neither does

Both fail clear product positioning, mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified. 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 is whether an agent can find the product at all without being told it exists. Riverqueue leads 73 to 33. Fauna misses clear canonical domain, clear product positioning, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, mcp discoverable, machine-readable metadata; Riverqueue misses clear product positioning, mcp discoverable.

Understand. Riverqueue leads 31 to 23. Fauna misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Riverqueue misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Riverqueue leads 48 to 25. Fauna misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available; Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available.

Operate. Riverqueue leads 29 to 0. Fauna misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Fauna starts at $150/mo with no free tier. Riverqueue does not publish one and has a free tier.

Signal by signal

Which to pick

Riverqueue clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Fauna and Riverqueue. Alternatives to each: Fauna, Riverqueue.

An agent can fetch this as data: POST /v1/compare {"slugs": ["fauna", "riverqueue"]}