Databricks alternatives
The highest-scoring alternative to Databricks is Neon at 90/100 on the AgentReady, against 52/100 for Databricks.
All scored in Databases.
| Score | Alternative | Compare |
|---|---|---|
| 90 | Neon | - |
| 86 | Turso | - |
| 74 | Supabase | - |
| 72 | Upstash | - |
| 70 | Xata | - |
| 69 | Thenile | - |
| 65 | TiDB Cloud | - |
| 64 | PlanetScale | - |
| 62 | MongoDB Atlas | - |
| 61 | Convex | - |
| 61 | Prisma | - |
| 59 | Encore | - |
| 57 | Singlestore | - |
| 56 | Vespa | - |
| 51 | CockroachDB | - |
| 50 | Powersync | - |
| 49 | Zilliz | - |
| 48 | Yugabyte | - |
| 45 | Riverqueue | - |
| 42 | Electric Sql | - |
| 20 | Fauna | - |
What Neon does that Databricks does not
Neon passes mcp discoverable, authentication documented, pricing understandable, self-service signup, mcp integration available, and Databricks fails them. That is the whole of the gap between the two scores, so if none of those matter to your agent the ranking above overstates the difference.
Why people look for an alternative
Databricks fails mcp discoverable, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, 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, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. Each one is a place an unattended run stops, which is usually what sends someone looking in the first place.
Where Databricks loses the points
| Pillar | Databricks | What it measures |
|---|---|---|
| Discover | 87 | Can an agent find it at all: sitemap, robots, structured data. |
| Understand | 31 | Is there a spec, an llms.txt, a machine-readable description. |
| Adopt | 35 | Signup, keys, SDKs, and whether a human has to be involved. |
| Operate | 53 | Rate-limit headers, errors, status, and behaviour under load. |
Databricks is weakest on understand at 31/100. Without a spec an agent has to guess at endpoints, and it guesses wrong. If that is the part your agent depends on, take the ranking above seriously; if it is not, Databricks may still be the right pick.
What an agent runs into with Databricks
These are the findings from the last audit on 2026-09-01. Each one is a place unattended software stops, which is the practical reason to look at the list above.
- Make signup self-serve; an agent cannot sit through a sales call.
- Ship an MCP server so agents can call you as a tool.
- Publish MCP install instructions so agents can discover the server.
- Flesh out the OpenAPI: paths, schemas, and descriptions.
- Document error responses as an enum in your OpenAPI.
- Let agents create API keys programmatically.
- Return X-RateLimit / Retry-After headers so agents pace themselves.
- Add request examples to your API reference.
What this category actually supports
Across the 22 products scored in Databases, query a sql database is offered by 73%, serverless database is offered by 23%, branch a database is offered by 9%. Anything under half is a gap you should expect to fill yourself whichever one you pick.
An agent can get this list directly: resolve("alternative to Databricks") over the MCP server, or GET /v1/categories/databases.