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CockroachDB vs Databricks

Databricks scores higher on the AgentReady, 52/100 against 51/100. They differ on 14 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

CockroachDB. CockroachDB is a cloud-agnostic, PostgreSQL compatible database built for modern applications delivering unmatched uptime, scale and compliance anywhere in the world.

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.

Where CockroachDB is ahead

CockroachDB 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: pricing understandable. Databricks misses it.

And on adopt, self-service signup, no mandatory sales call, free trial or free allowance, fast time to first request, copyable quickstart and mcp integration available. Databricks misses those.

Where Databricks is ahead

Databricks passes search discoverable, and CockroachDB 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. CockroachDB misses it.

And on adopt, agent-compatible signup flow and official python sdk. CockroachDB misses those.

Finally, on operate, observable execution and agent compatibility verified. CockroachDB misses those.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, 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. Both sit at 87/100 here. CockroachDB misses search discoverable; Databricks misses mcp discoverable.

Understand. Databricks leads 31 to 23. CockroachDB misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Databricks misses openapi / spec quality, authentication documented, pricing understandable, 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. CockroachDB leads 71 to 35. CockroachDB misses agent-compatible signup flow, programmatic credential creation, official python sdk; 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.

Operate. Databricks leads 53 to 24. CockroachDB misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Databricks misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

CockroachDB does not publish a machine-readable starting price and has a free tier. Databricks does not publish one.

Signal by signal

Which to pick

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

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