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Comparison, written September 2026 by Arif Aslam 6 min read

A Gigasheet alternative

Gigasheet is cloud-first: your file uploads to their infrastructure and a server does the work. For truly massive files a server is the honest answer, and theirs is good at it. This page is about where the line sits.

Fair is fair: what Gigasheet does well

Scale that a browser cannot reach. Multi-gigabyte files, billions of cells, work that keeps running while you close the laptop. None of that is available in a tab, and no amount of clever WebAssembly changes the fact that a browser has one machine's memory and a tab's lifetime.

Server-side also means shared. A colleague can open the same view, a link points at a real thing, and the state does not live in one person's browser. If your work is collaborative, that is a structural advantage rather than a feature we could add.

Where the two differ

  ExploreMyData Gigasheet
Architecture Entirely in the browser tab; there is no server to send a file to Cloud-first: files upload to their infrastructure
The size question 1 GB hard cap, confirmation above 100 MB. Past that, a browser is not the tool and we say so Built for files far larger than a browser can hold
Sensitive data Nothing to approve: the bytes never leave the machine, and the network tab shows it Uploading regulated data to any third party may need security or compliance sign-off first
Accounts and price No account, no tier, ad-supported Account required; free tier with paid plans at the time of writing

Competitor details are general and may change; verify current capabilities and pricing on their site. Statements about ExploreMyData are testable here, right now.

How to tell which case you are in

Three questions, and they settle it faster than a feature comparison.

  • How big is the file, actually? Under a few hundred megabytes, a browser handles it and there is no reason to upload anything. Above a gigabyte, be honest: a browser is not the tool.
  • Can the data leave? If it is regulated, personal or under contract, the approval process for uploading it usually costs more time than the analysis. That is the whole argument, and it has nothing to do with features.
  • Does anyone else need this view? If yes, a server is the right shape. Our state lives in one browser on one machine, deliberately.

I used Gigasheet for X. Where is that here?

There Here
Opening a file too big for ExcelThe workbench, up to 1 GB, parsed off the main thread
Filtering and grouping millions of rowsSQL in the browser, full DuckDB
Joining two large filesCSV Merger, or a Join step in the pipeline
Splitting a file into manageable partsCSV Splitter
Profiling a large file's columnsCSV Profiler

The honest limit

I would rather lose a visitor than have them fight a tab with a four-gigabyte file. If that is your situation, upload it to a service built for it, or install DuckDB locally and query the file where it already is. Both are better than the browser, and saying so costs nothing.

Questions people actually ask

How big can a browser really go?

Our hard cap is 1 GB, with a confirmation above 100 MB, and past a few hundred megabytes the experience depends heavily on the machine. Above 1 GB a browser tab is the wrong tool and I would rather say that than promise otherwise.

When is a server the right answer?

When the file is many gigabytes, when several people need the same view of it, or when the work has to run on a schedule without anyone present. Those are all things a server does and a tab cannot.

Why does uploading matter?

Because uploading regulated data to any third party may need security or compliance sign-off first, and that process usually takes longer than the analysis. If your file cannot leave the building, the calculus is not about features.

Is Gigasheet free?

It has offered a free tier with paid plans above it at the time of writing. Verify current pricing on their site.

What if my file is too big for the browser but I cannot upload it?

Run DuckDB or Postgres locally. That is a genuine answer and it is the one I give people rather than pretending a tab will cope.

AA

Arif Aslam

Staff engineer in Bangalore. By day at Mammoth Analytics; building ExploreMyData on the side. More on my author page or LinkedIn.

See how far a tab gets

Drop a few hundred megabytes in. It parses off the main thread with a progress bar and never leaves the machine.

Open the workbench