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CockroachDB vs MongoDB Atlas

MongoDB Atlas scores higher on the AgentReady, 62/100 against 51/100. They differ on 8 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.

MongoDB Atlas. MongoDB Atlas is a modern, AI-ready data platform that combines operational data, vectors, and stream processing in a unified platform.

Where CockroachDB is ahead

CockroachDB passes llms-full.txt / full agent docs, and MongoDB Atlas does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: fast time to first request and copyable quickstart. MongoDB Atlas misses those.

Where MongoDB Atlas is ahead

MongoDB Atlas 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. CockroachDB misses it.

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, 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. MongoDB Atlas leads 93 to 87. CockroachDB misses search discoverable; MongoDB Atlas misses llms-full.txt / full agent docs.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. MongoDB Atlas leads 38 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; MongoDB Atlas misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. MongoDB Atlas leads 80 to 71. CockroachDB misses agent-compatible signup flow, programmatic credential creation, official python sdk; MongoDB Atlas misses programmatic credential creation, fast time to first request, copyable quickstart.

Operate. MongoDB Atlas leads 35 to 24. CockroachDB misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; MongoDB Atlas misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

CockroachDB does not publish a machine-readable starting price and has a free tier. MongoDB Atlas starts at $0/hour and has a free tier.

Signal by signal

Which to pick

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

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