Gigasheet

What is Gigasheet?

Gigasheet is a no-code, cloud-based "big-data spreadsheet" that lets you open, analyze, and combine files with millions of rows, the kind of datasets that freeze or crash Excel and Google Sheets. You upload a large CSV or JSON file (or connect a source) and Gigasheet loads it into a familiar grid where you can sort, filter, group, pivot, and merge data with clicks instead of SQL, Python, or a database. The result is spreadsheet-style analysis at a scale ordinary spreadsheets can't reach.

Because it runs in the browser, there's nothing to install and your laptop's memory isn't the bottleneck, Gigasheet does the heavy lifting in the cloud. On top of the grid, it layers AI-assisted analysis so you can ask questions about your data in natural language and get answers without writing formulas. Premium plans add the ability to combine and merge up to 100 files, unrestricted exports, 100 enrichment credits per month, and up to 25 million rows per sheet, while a REST API (Premium add-on and Enterprise) lets you wire Gigasheet into a pipeline.

It's a strong fit for analysts, operations teams, and data teams who regularly receive CSV and JSON files far larger than a spreadsheet can handle but don't want to stand up a database just to explore them. Gigasheet is increasingly marketed toward healthcare price-transparency work, parsing large machine-readable files (MRFs) of negotiated rates, but the core product remains general-purpose: open a giant file, slice it, merge it, and export the answer.

Pricing

Community, Free: 1GB of storage with spreadsheet-like analysis of large files in the browser. The free tier caps the number of editable rows (results are paginated) and restricts exports, so it's ideal for opening and exploring a big file or evaluating whether Gigasheet fits your workflow, but not for ongoing production use.

Premium 25GB, $95/month (or $25/month billed yearly, $295/year): Up to 25 million rows per sheet, unrestricted exports, 100 enrichment credits per month, and the ability to combine up to 100 files. This is the entry Premium tier most individual and small-team users land on.

Premium 50GB, $165/month ($137/month billed yearly): Same Premium feature set with more storage for larger or more numerous datasets.

Premium 75GB, $250/month ($208/month billed yearly): The largest standard storage tier for heavy big-file workloads.

Enterprise, custom (contact sales): Up to roughly 5,000GB of storage, individual files up to 250GB, REST API access, SSO, and admin controls. Designed for organizations parsing very large CSV/JSON datasets such as healthcare price-transparency MRFs.

Premium pricing is tiered by storage rather than per user, and annual billing cuts the monthly rate sharply (25GB drops from $95 to $25/month). Pricing verified June 2026.

Key Features

• Open and analyze huge files, load CSV and JSON files with millions of rows that crash Excel and Google Sheets, then work with them in your browser.
• Familiar spreadsheet UI, sort, filter, group, and pivot your data with clicks, no SQL, Python, or database setup required.
• Combine and merge files, Premium plans let you combine and merge up to 100 files into a single analysis across shared columns.
• AI-assisted analysis, ask natural-language questions about your data and get answers without writing formulas.
• Cloud-based, no install, everything runs in the cloud, so your local machine's memory isn't the limit and there's nothing to download.
• Up to 25 million rows per sheet, every Premium tier supports sheets of up to 25 million rows.
• Enrichment credits, Premium includes 100 enrichment credits per month to augment your data.
• Unrestricted exports, Premium removes the free-tier export limits so you can export full results.
• REST API, available as a Premium add-on and on Enterprise, letting you integrate Gigasheet into a data pipeline.
• Very large files on Enterprise, handle individual files up to 250GB and total storage up to roughly 5,000GB.
• Healthcare price-transparency support, strong for parsing large machine-readable files (MRFs) of negotiated rates and other big JSON datasets.

Pros & Cons

Best For

• Analysts and operations teams who regularly receive CSV or JSON exports far larger than Excel or Sheets can open and need to filter, group, and pivot them quickly.
• Data teams without a database for ad-hoc work who want to explore a giant file in a familiar grid instead of standing up infrastructure just to look at it.
• Teams merging many large files, Gigasheet can combine up to 100 files on Premium, making cross-file analysis straightforward.
• Healthcare and finance professionals parsing large machine-readable files (MRFs) and other big JSON datasets where price-transparency analysis matters.

How Gigasheet Compares

Against Julius and other AI data analysts, Gigasheet takes a different angle: rather than chatting with a model that writes Python, it gives you a real spreadsheet grid that simply doesn't choke on millions of rows. Against Rows, an AI spreadsheet with built-in connectors and GPT formulas, Gigasheet is the better pick when raw file size is the problem, while Rows wins for live-connected, formula-driven dashboards on smaller data. Against notebook platforms like Deepnote, Hex, and Mode, Gigasheet trades code flexibility and collaborative SQL/Python for no-code simplicity: there's no kernel, no query language, just a familiar grid. And against Polymer Search, which turns spreadsheets into interactive dashboards, Gigasheet is more about opening and wrangling the giant file in the first place than presenting it. The right choice depends on whether your bottleneck is file size (Gigasheet) or analytical depth and collaboration (the notebook platforms). See the full list of Gigasheet alternatives for more.

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