Blurred Lines or Power Couple? Making Sense of Databricks and Salesforce Data Cloud
It’s a familiar scene in banking: you're in the conference room, trying to explain the difference between Databricks and Salesforce Data Cloud to a room full of Senior Executives. Eyes glaze. Someone asks, “Aren’t they the same thing?” Another asks, “Which one did we just pay for again?” And before you know it, the CFO is wondering if your data strategy is just another vendor bingo card.
Welcome to the world of blurred lines in data tech —The truth is, Databricks and Data Cloud aren’t duplicates, they’re dance partners. One gets your messy data in shape—clean, governed, AI-ready. The other puts it to work—segmenting customers, personalizing interactions, and fueling real-time decisions right inside Salesforce.
As Manvir Sandhu, founder at Zennify, breaks down in this guide, the magic happens when you stop asking “which one?” and start designing for “how they work together.”
Demystify the data stack, cut through the buzzwords, and finally answer the question every exec asks: What’s actually going to help us get stuff done?
