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TiDB Cloud vs Zilliz

TiDB Cloud scores higher on the AgentReady, 65/100 against 49/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

TiDB Cloud. TiDB Cloud is a cloud-native distributed SQL database service that provides infrastructure for infinite agents and infinite data, with support for AI applications, vector search, and multi-modal data platforms.

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

Where TiDB Cloud is ahead

TiDB Cloud 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 understand: structured api reference. Zilliz misses it.

And on adopt, no mandatory sales call, agent-compatible signup flow and mcp integration available. Zilliz misses those.

Finally, on operate, structured, predictable output and agent compatibility verified. Zilliz misses those.

Where Zilliz is ahead

Zilliz passes clear canonical domain, and TiDB Cloud 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. TiDB Cloud misses it.

And on adopt, free trial or free allowance and official python sdk. TiDB Cloud misses those.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, fast time to first request, copyable quickstart, 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. TiDB Cloud leads 93 to 80. TiDB Cloud misses clear canonical domain; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand. TiDB Cloud leads 38 to 31. TiDB Cloud misses openapi / spec quality, pricing understandable, 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. TiDB Cloud leads 65 to 45. TiDB Cloud misses programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, 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 is whether an agent can run against it in production and recover when a call fails. TiDB Cloud leads 65 to 39. TiDB Cloud misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Zilliz misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

TiDB Cloud does not publish a machine-readable starting price. Zilliz does not publish one and has a free tier.

Signal by signal

Which to pick

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

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