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Neon vs Riverqueue

Neon scores higher on the AgentReady, 90/100 against 45/100. They differ on 17 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Neon. The backend for apps and agents, built to scale on Lakebase Postgres.

Riverqueue. Fast and reliable background jobs in Go.

Where Neon is ahead

Neon 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: structured api reference and authentication documented. Riverqueue misses those.

And on adopt, self-service signup and mcp integration available. Riverqueue misses those.

Finally, on operate, agent compatibility verified. Riverqueue misses it.

Where Riverqueue is ahead

Riverqueue passes search discoverable and public docs discoverable, and Neon 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. Neon misses it.

And on adopt, no mandatory sales call, free trial or free allowance, copyable quickstart, official typescript sdk and official python sdk. Neon misses those.

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

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, fast time to first request, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution. 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. Neon leads 100 to 73. Neon misses search discoverable, public docs discoverable; Riverqueue misses clear product positioning, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Neon leads 83 to 31. Neon misses openapi / spec quality, 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 is whether an agent can get a key and make its first successful call without a human in the loop. Neon leads 100 to 48. Neon misses no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available.

Operate. Neon leads 78 to 29. Neon misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Neon does not publish a machine-readable starting price. 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: Neon and Riverqueue. Alternatives to each: Neon, Riverqueue.

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