FileFeed alternative with a canvas grid that holds a million rows
Updog renders its grid on a canvas with virtual scrolling and worker-based filtering, so about one million rows stay smooth. It ships for React and as a Web Component.
100% client-sideWhite-label1M+ rows
Updog and FileFeed at a glance
| Dimension | Updog | FileFeed |
|---|---|---|
| Data privacy | Files are parsed, validated, and edited in the browser. Row data never reaches Updog's servers, so there is no data processor, DPA, or residency to manage. | An open-source (MIT) importer that runs entirely in the browser: parsing, mapping, validation, and fixes all happen client-side, and your app receives the cleaned rows directly. Optional AI mapping calls only endpoints you host. As a self-hosted library there is no vendor, so compliance certifications, a DPA, and data residency do not apply. |
| White-label | Full styling through CSS variables and class overrides. No Updog logos or "powered by" on any plan, including the free one. | A light and dark theme, with CSS variables for colors and styling. Built on the Mantine component library, so it ships Mantine's look. As an MIT library it carries no vendor branding. |
| Pricing | Free for development, and a 14-day trial with no card when you go live. In production, a flat $19 per domain per month, the same at any volume, and your first paid domain includes a free one for staging. | Free and open-source under the MIT license. No paid tiers or usage fees for the importer. |
| Data mapping | Schema in code. Fuzzy column matching with a built-in synonym dictionary you can extend, or connect the AI your organization already approves through a hook, so it runs on infrastructure you control with no new AI vendor to clear. Updog keeps no mapping history. Your app owns that state and can supply saved selections on later imports. Maps incoming values to your options. Auto-detects number and date formats. Combines files by upserting on a key. | Schema in code, with typed fields and required and unique flags. Columns auto-match to your fields, with manual drag-and-drop, and incoming values map to your options with built-in suggestions. AI is bring-your-own: optional endpoints you host suggest column and value mappings, with a local fallback. Number and date output formats are configurable. |
| Data cleaning | Cells edit inline through a typed editor per column, text, number, date, select, or multi-select, with clipboard, fill handle, and full undo and redo. Values pass a transform on the way in, then validation runs at three levels, built-in rules, your own checks, and asynchronous ones. Sorting, full-text search, filters on the columns you enable, and formulas. Invalid rows can block submit or come through flagged. Any view also exports in any supported format. | Per-field validation (required, type, regex, min/max, unique, and custom rules) with invalid cells highlighted and editable inline, plus a filter to invalid rows. Built-in and custom transforms, and manual row entry in the grid. No find & replace or undo/redo found; it is an import-and-fix flow, not a full spreadsheet editor. |
| Scale & performance | About one million rows at around 20 columns in the browser, with a filter on every column. No fixed row cap, the browser tab's memory is the ceiling, and fewer columns reach further. Filtering and sorting run in a worker, measured at 30 to 250 milliseconds over a million rows. | Client-side, marketed as fast at a hundred thousand rows. Excel files over 50 MB are rejected; CSV has no size cap and no documented row limit, so throughput is bound by browser memory. |
| Integration | React component, plus a Web Component for Vue, Angular, Svelte, and vanilla JS. Renders inline in your page's DOM. Imports CSV, TSV, Excel, JSON, and XML, plus any other format through a parser you register yourself. | A React component, rendered inline or as a modal; no web component or wrappers for other frameworks found. Imports CSV, XLSX, and XLS, with file encoding auto-detected. |
| Languages & RTL | English by default, with every interface string overridable, so you can localize into any language. Right-to-left is first-class. It flips layout, text alignment, scrollbars, and column pinning, and carries through to export. | No interface translations, string overrides, or right-to-left support was found. |
| Accessibility | An ARIA grid with full keyboard navigation and screen-reader support. WCAG 2.2 AA is the level Updog builds to, with automated rule checks over every component and every step of the importer on each test run. Updog holds no independent audit or VPAT. | No accessibility statement found. Buttons, tabs, and form controls carry roles and labels from the Mantine components underneath, and no table or grid semantics were found in the published package. |
FileFeed also sells Automated FileFeeds, a server-side platform for recurring file exchange; this page compares only its free, MIT-licensed embeddable React importer, the closest match to Updog. Facts checked against FileFeed's public pages in July 2026.
Which one fits your team
FileFeed may fit better if
- You want a completely free importer: open-source MIT code you can audit, fork, and modify, running entirely in the browser.
- Your app already runs React and Mantine, so it matches your stack out of the box.
- You only need an import flow without a spreadsheet editor: mapping, validation, and inline fixes.
- You import CSV at up to hundreds of thousands of rows, or Excel files up to 50 MB.
Updog may fit better if
- You want an importer and spreadsheet editor embedded in your own app.
- You want to match your app's design exactly, styling the editor with your own CSS through variables and class overrides.
- You want to handle large files in the browser, with nothing stored on a server.
- You want flat, public pricing with no per-import fees.
- You want to use the AI your organization already approves, with no new vendor to clear.
Questions people ask
Is Updog a drop-in replacement for FileFeed?
Not quite. Both importers run client-side and embed in your app, but Updog is also a full spreadsheet editor with find & replace, bulk transforms, and undo/redo, and it isn't tied to React or Mantine.
How do the two handle data privacy?
Neither sends row data to a vendor. Both run entirely in the browser.
How does Updog pricing compare?
Updog is a flat $19 per production domain per month, free in development. FileFeed's importer is free and open-source under the MIT license, with no paid tiers.
Can Updog handle large files like FileFeed?
Yes, about 1 million rows in the browser, bound by the machine's memory. FileFeed's importer is also client-side, marketed as fast at a hundred thousand rows, with Excel files capped at 50 MB.
Can Updog be used to view or edit existing data, without an import?
Yes. Load existing data straight into Updog's editor to view and edit it, with a read-only mode. FileFeed's grid is part of the import flow, though users can enter rows manually.
How do the two handle accessibility?
Updog's grid uses ARIA semantics with full keyboard navigation and screen-reader support, and the importer is checked against WCAG 2.2 A and AA rules on each test run. Updog holds no independent audit or VPAT. For FileFeed, no accessibility statement was found: its controls carry roles and labels from the Mantine components underneath, and no table or grid semantics were found in the published package.
Can the interface be translated, and does right-to-left work?
Updog ships in English with every interface string overridable, so you can localize into any language, and it renders right-to-left layouts natively. For FileFeed, no interface translations, string overrides, or right-to-left support were found.
See how Updog compares to other CSV importers
Try Updog for free
Install the package, add your columns, render the component. Free on localhost and preview domains. Every feature included.