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METRIC OAK

New: the 3-week Data Platform Assessment: fixed fee, priced roadmap. See what's included →

Free tool · 2 minutes

Databricks, Snowflake or Microsoft Fabric?

Eight questions about your team, workloads, cloud and budget. You get a ranked fit with the reasons behind it. Runs in your browser.

Who will do most of the work on the platform?
How important are machine learning and GenAI in the next two years?
What does your organization already standardize on?
What kind of data do you mostly handle?
How much do you want to manage yourselves?
Do you need to share data with partners or customers?
How do you prefer to pay?
How important are open formats and avoiding lock-in?

Frequently asked questions

Can we use more than one platform?

Yes, and many large organizations do: for example Databricks for engineering and machine learning with Snowflake or Fabric for analytics. Open table formats such as Delta Lake and Apache Iceberg make this more practical. It works when it is a deliberate choice with clear ownership.

Is this recommendation vendor-neutral?

Yes. The weights reflect common trade-offs between the platforms, and Metric Oak works on all three. A Data Platform Assessment compares them on your actual workloads, skills and costs.

What matters more than the platform?

Governance, data quality and cost discipline. Most failed programs chose a reasonable platform and then skipped ownership, testing and cost controls.

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