Compare

Qdrant vs Supabase

Supabase scores higher on the AgentReady, 74/100 against 58/100. 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

Qdrant. Qdrant is a high-performance vector search engine that helps build AI retrieval systems.

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.

Where Qdrant is ahead

Qdrant passes search discoverable and clear canonical domain, 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, no mandatory sales call, free trial or free allowance, fast time to first request, copyable quickstart, official typescript sdk and official python sdk. Supabase misses those.

Finally, on operate, canonical workflow succeeds. Supabase misses it.

Where Supabase is ahead

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

What neither does

Both fail public docs discoverable, openapi / spec quality, 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, observable execution, 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. Qdrant misses public docs discoverable, llms-full.txt / full agent docs; Supabase misses search discoverable, clear canonical domain, public docs discoverable.

Understand. Supabase leads 67 to 46. Qdrant misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Supabase misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Qdrant leads 80 to 63. Qdrant misses agent-compatible signup flow, programmatic credential creation; 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.

Operate is whether an agent can run against it in production and recover when a call fails. Supabase leads 67 to 24. Qdrant misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; 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.

Pricing

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

Signal by signal

Which to pick

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

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