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Databricks vs Restate

Restate scores higher on the AgentReady, 59/100 against 52/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Databricks. Databricks provides a Data + AI Platform to unify data, analytics and AI, enabling users to build and run apps, agents and AI on their data.

Restate. Restate is a lightweight runtime to turn AI agents, workflows, and backend services into durable processes.

Where Databricks is ahead

Databricks passes structured api reference, and Restate does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: agent-compatible signup flow. Restate misses it.

And on operate, agent compatibility verified. Restate misses it.

Where Restate is ahead

Restate passes mcp discoverable, and Databricks 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. Databricks misses it.

And on adopt, self-service signup, free trial or free allowance, fast time to first request, copyable quickstart and mcp integration available. Databricks misses those.

Finally, on operate, retry behavior documented. Databricks misses it.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, structured, predictable output, machine-readable errors, 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. Restate leads 100 to 87. Databricks misses mcp discoverable; Restate misses nothing.

Understand. Databricks leads 31 to 23. Databricks misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Restate misses structured api reference, openapi / spec quality, authentication documented, 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. Restate leads 70 to 35. Databricks misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, mcp integration available; Restate misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation.

Operate. Databricks leads 53 to 41. Databricks misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Restate misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Databricks does not publish a machine-readable starting price. Restate starts at $0/mo and has a free tier.

Signal by signal

Which to pick

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

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