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CockroachDB vs Zilliz

CockroachDB scores higher on the AgentReady, 51/100 against 49/100. They differ on 10 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.

Zilliz. Zilliz offers a fully managed Vector Lakebase powered by Milvus, unifying real-time vector search, lake-scale discovery, and AI data operations.

Where CockroachDB is ahead

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

It also holds adopt: no mandatory sales call, fast time to first request, copyable quickstart and mcp integration available. Zilliz misses those.

Where Zilliz is ahead

Zilliz 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: authentication documented. CockroachDB misses it.

And on adopt, official python sdk. CockroachDB misses it.

Finally, on operate, observable execution. CockroachDB misses it.

What neither does

Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, 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. CockroachDB leads 87 to 80. CockroachDB misses search discoverable; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand. Zilliz 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; Zilliz misses structured api reference, 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. CockroachDB leads 71 to 45. CockroachDB misses agent-compatible signup flow, programmatic credential creation, official python sdk; Zilliz misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate. Zilliz leads 39 to 24. CockroachDB misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; Zilliz 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. Zilliz does not publish one and has a free tier.

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 Zilliz. Alternatives to each: CockroachDB, Zilliz.

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