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Databricks vs Neon

Neon scores higher on the AgentReady, 90/100 against 52/100. 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

Databricks. Databricks provides a Data + AI Platform to unify data, analytics and AI, enabling users to build and run apps, agents and AI on their data.

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

Where Databricks is ahead

Databricks 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 adopt: official typescript sdk and official python sdk. Neon misses those.

And on operate, canonical workflow succeeds and observable execution. Neon misses those.

Where Neon is ahead

Neon passes mcp discoverable, and Databricks 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 and pricing understandable. Databricks misses those.

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

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. 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 87. Databricks misses mcp discoverable; Neon misses search discoverable, public docs discoverable.

Understand. Neon leads 83 to 31. Databricks misses openapi / spec quality, authentication documented, pricing understandable, 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 is whether an agent can get a key and make its first successful call without a human in the loop. Neon leads 100 to 35. Databricks misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, 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. Neon leads 78 to 53. Databricks misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Neon misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

Databricks does not publish a machine-readable starting price. Neon does not publish one.

Signal by signal

Which to pick

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

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