Load, query, and refresh datasets too large or slow for Excel to handle on its own — right inside the add-in. Nothing installed outside it, nothing uploaded anywhere.
Not live in the Microsoft Store yet — get notified the day it ships.
Power BI can handle the scale — but it isn't your deliverable, and rebuilding everything in it isn't always the answer.
Your colleagues expect an .xlsx, not a Power BI link. Rebuilding the whole workflow in another tool is a bigger ask than fixing the query that's actually slow. SheetVelocity optimizes it in place, in the file you already have.
It'll blow past its context window before it finishes the first sheet — if Excel can even open the file at all. SheetVelocity gives your data a real database to query instead of a wall of text to swallow whole.
An existing table already in your workbook, or a file to side-load — including ones far too large for Excel to open on its own.
Streamed into an embedded database that runs inside the task pane. Nothing leaves your machine.
Plain SQL, with a schema panel that shows you every column — click one to insert it into your query.
Results write straight back to whichever sheet you're on, as a real Excel table. Re-run anytime — that's your "Refresh."
Point it at a table a slow query already loads into. Its current data gets copied into the embedded database once — future refreshes are fast, without waiting on the original source again.
CSV files with millions of rows — the kind Excel's own 1,048,576-row ceiling won't even let you open — load straight into the add-in instead.
A row with the wrong number of columns doesn't get silently dropped or corrupted — it's flagged, color-coded, and editable right in the task pane, with one-click bulk repair.
Let Claude, Cursor, or another MCP-compatible assistant query your data directly — using your own AI subscription, never routed through us.
Everything runs locally, so there's no per-row or per-query metering to worry about.
No. Everything you load runs inside an embedded database in the task pane, on your device. SheetVelocity doesn't operate a backend that your spreadsheet data passes through.
No — "Optimize" and "Side-load" are one-click actions. Querying does use SQL, but a schema panel shows you every column so you're never guessing at names.
No. If your output can live in Power BI, it's a great tool. SheetVelocity is for when your deliverable has to stay an Excel file.
No. When it ships, that connection runs directly between your AI client and your own AI provider account — SheetVelocity never sits in the middle of it.
It's not yet listed in the Microsoft Store. Join the waitlist above and you'll be the first to know when it is.