by Databricks Staff
Most enterprise analytics evaluations are really just dashboard comparisons. That's the wrong starting point. The question that matters isn't which vendor has the best UI — it's whether analytics, AI and agents all run on the same data. One is a product decision. The other is an architecture decision that will shape what your data team can build for the next decade.
A platform where your BI layer, ML workflows and AI agents operate on unified, governed data is fundamentally different from one where those capabilities are stitched together across separate tools. The first gets smarter over time. The second gets more expensive to maintain.
This is what's changed about platform evaluation. It used to be a capabilities comparison. Now it's an architecture decision, one that sets the ceiling for what your data team can build over the next decade. This blog gives you the framework to make that decision.
There's a meaningful difference between an analytics tool and an enterprise analytics platform. Conflating them is one of the most common sources of buyer's remorse.
