Compare

MongoDB Atlas vs PlanetScale

PlanetScale scores higher on the AgentReady, 64/100 against 62/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

MongoDB Atlas. MongoDB Atlas is a modern, AI-ready data platform that combines operational data, vectors, and stream processing in a unified platform.

PlanetScale. PlanetScale provides the world's fastest and most scalable cloud databases, offering fully-managed Vitess and PostgreSQL clusters with exceptional speed, reliability, and horizontal scalability through sharding.

Where MongoDB Atlas is ahead

MongoDB Atlas passes self-service signup, free trial or free allowance and official python sdk, and PlanetScale does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

Where PlanetScale is ahead

PlanetScale passes llms-full.txt / full agent docs, and MongoDB Atlas 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. MongoDB Atlas misses it.

And on adopt, copyable quickstart. MongoDB Atlas misses it.

Finally, on operate, agent compatibility verified. MongoDB Atlas misses it.

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, structured, predictable output, 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. PlanetScale leads 100 to 93. MongoDB Atlas misses llms-full.txt / full agent docs; PlanetScale misses nothing.

Understand. PlanetScale leads 46 to 38. MongoDB Atlas misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; PlanetScale misses 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. MongoDB Atlas leads 80 to 55. MongoDB Atlas misses programmatic credential creation, fast time to first request, copyable quickstart; PlanetScale misses self-service signup, programmatic credential creation, free trial or free allowance, fast time to first request, official python sdk.

Operate. PlanetScale leads 56 to 35. MongoDB Atlas misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; PlanetScale misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

MongoDB Atlas starts at $0/hour and has a free tier. PlanetScale starts at $5/mo.

Signal by signal

Which to pick

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

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