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Fauna vs Neon

Neon scores higher on the AgentReady, 90/100 against 20/100. They differ on 16 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.

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

Where Fauna is ahead

Fauna passes search 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 adopt: free trial or free allowance, official typescript sdk and official python sdk. Neon misses those.

Where Neon is ahead

Neon passes clear canonical domain, clear product positioning, llms.txt published, llms-full.txt / full agent docs, mcp discoverable 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: structured api reference and authentication documented. Fauna misses those.

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

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

What neither does

Both fail public docs discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, 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 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; Neon misses search discoverable, public docs discoverable.

Understand. Neon leads 83 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; Neon misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Neon leads 100 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; 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.

Operate is whether an agent can run against it in production and recover when a call fails. Neon leads 78 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; Neon misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

Fauna starts at $150/mo with no free tier. Neon does not publish one.

Signal by signal

Which to pick

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

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