Read Your Databricks Warehouse in Plain English
Connect Databricks to FUSE and ask your numbers in plain English, right next to your Google Ads, GA4 and Meta data. Read-only, and the limit is set by you.
Your team already set your key numbers up in Databricks: revenue, the way it is counted, the definitions everyone agreed on. FUSE reads those. Ask a question in plain English and the answer comes back from your own numbers, sitting right next to your Google Ads, GA4 and Meta data. FUSE can read them. It cannot change them, and the limit on what it can touch is set by you, inside Databricks.
It reads your numbers, it does not reinvent them
Your team already did the hard part. Somewhere in Databricks, "revenue" has a definition everyone agreed on: what counts, what does not, how it adds up. FUSE uses that exact definition. It does not make up its own version and hope it matches.
That is the difference that saves you a bad meeting. A tool that rebuilds your numbers will, sooner or later, count something a little differently than you do, and nobody notices until two reports disagree in front of your boss. FUSE asks Databricks for the number you already defined, and Databricks answers. Same definition, every time.
There is no second copy either. FUSE does not haul your data off somewhere and keep its own version going stale. Every question runs against Databricks, live.
The number your CEO trusts, next to the channel that moved it
Databricks on its own answers "what happened." It cannot tell you "what did we spend to make it happen," because it never sees your ad platforms.
FUSE does. Your Databricks numbers sit in the same conversation as your marketing data: Google Ads, GA4, Meta, Klaviyo. Ask for last month's revenue by region from Databricks, then ask what each region cost on Meta, and the two land side by side.
Nothing inside Databricks does this, because it is not its job. Databricks holds your own numbers. FUSE is where those numbers meet the outside spend that produced them.
It reads. It cannot change a thing. And you hold the switch.
Anyone can say "read-only." Here is how it actually holds.
FUSE only ever asks to read. And the thing that enforces that is not a promise in our code, it is the permission your own team sets inside Databricks. You decide what the login FUSE uses is allowed to see, in the same place you decide it for everyone else. Give it read access only, and reading is all it can ever do.
This is the same read-only stance FUSE takes with Salesforce, and it is the honest version. What stops a change is your own permission system, not our word for it.
What it does not do
FUSE does not copy your data out of Databricks. There is no overnight sync and no second copy going stale. Every question runs against your live data, in Databricks.
With read access only, FUSE cannot change anything. Fixing, updating, loading: those stay in Databricks, where the approvals and the history live. Reading and changing are different jobs, and they belong apart.
It also needs a Premium Databricks plan or higher. The features this relies on were never on the basic tier, which Databricks is retiring anyway, so this is a floor, not a limit FUSE invented.
For whoever owns your Databricks setup
Forward this part. Here is what is being asked for.
Nothing gets installed. FUSE reads through the same setup your reporting tools already use, with a login your team creates and controls. You decide what that login can see, in Databricks, the same place you decide it for everyone else. If that login cannot see something today, neither can FUSE. Nothing opens up because someone asked a question.
Frequently asked questions
Does FUSE copy my Databricks data?
No. There is no scheduled sync and no second copy. Every question runs against your live data, and the answer comes back into the conversation, the way an email thread keeps what was in it. The numbers stay defined and maintained in Databricks, where they already live.
Does FUSE need permission to change my data?
No. FUSE only asks to read, and read access on the login it uses is what enforces that, inside Databricks. Your team sets it. Changing your data is neither needed nor requested.
Does FUSE replace Databricks or its own tools?
No. FUSE reads the numbers Databricks already holds and sets them next to your marketing data. Your setup, your definitions and your access rules all stay in Databricks, exactly as they are. FUSE reads that, it does not replace it.
What happens with a very large result?
Large results come back as a summary or a preview, not a data dump. FUSE asks Databricks to add things up and reads the total, rather than pulling raw records across. If a preview is not enough, narrow the question the way you would narrow a report: a date range, one region, one owner.
Which Databricks plan do I need?
Premium or higher. The features this relies on were never on the basic tier, which Databricks is retiring anyway. A Premium or Enterprise workspace on AWS, Azure or Google Cloud works.
The rest of your data, in the same place
You already set your numbers up in Databricks. That was the hard part, and it was the right call. FUSE does not ask you to redo it anywhere else. It reads what you built, and sets those numbers next to the marketing data Databricks was never meant to hold.
One conversation. Your Databricks numbers, your ad platforms, your email tool, side by side. Ask in plain English, and the limit on what comes back stays exactly where you set it, inside Databricks.