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Qdrant vs turbopuffer

Qdrant scores higher on the AgentReady, 58/100 against 53/100. 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

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

turbopuffer. turbopuffer is a fast, object-storage native search engine providing vector and full-text search built on object storage.

Where Qdrant is ahead

Qdrant passes clear canonical domain and mcp discoverable, and turbopuffer 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 and authentication documented. turbopuffer misses those.

And on adopt, cli available and mcp integration available. turbopuffer misses those.

Where turbopuffer is ahead

turbopuffer passes public docs discoverable and 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.

It also holds operate: structured, predictable output and observable execution. Qdrant misses those.

What neither does

Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, agent-compatible signup flow, programmatic credential creation, 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. Both sit at 80/100 here. Qdrant misses public docs discoverable, llms-full.txt / full agent docs; turbopuffer misses clear canonical domain, mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Qdrant leads 46 to 23. Qdrant misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; turbopuffer misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Qdrant leads 80 to 60. Qdrant misses agent-compatible signup flow, programmatic credential creation; turbopuffer misses agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. turbopuffer leads 47 to 24. Qdrant misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; turbopuffer misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Qdrant does not publish a machine-readable starting price and has a free tier. turbopuffer starts at $16/month with no free tier.

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 turbopuffer. Alternatives to each: Qdrant, turbopuffer.

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