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Supabase vs Zilliz

Supabase scores higher on the AgentReady, 74/100 against 49/100. 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

Supabase. Supabase is an open-source Firebase alternative that provides a complete backend platform built on top of Postgres, offering database, authentication, storage, realtime, edge functions, and vector capabilities.

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

Where Supabase is ahead

Supabase 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, mcp integration available. Zilliz misses it.

Where Zilliz is ahead

Zilliz passes search discoverable, clear canonical domain and public docs discoverable, and Supabase 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. Supabase misses it.

And on adopt, self-service signup, free trial or free allowance, official typescript sdk and official python sdk. Supabase misses those.

Finally, on operate, canonical workflow succeeds and observable execution. Supabase 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, fast time to first request, copyable quickstart, 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. Supabase leads 100 to 80. Supabase misses search discoverable, clear canonical domain, public docs discoverable; Zilliz misses llms-full.txt / full agent docs, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Supabase leads 67 to 31. Supabase 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. Supabase leads 63 to 45. Supabase misses self-service signup, 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; Zilliz misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.

Operate. Supabase leads 67 to 39. Supabase misses canonical workflow succeeds, 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

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

Signal by signal

Which to pick

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

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