Ivandt alternative at $19 a month rather than $399

Updog is free while you build and a flat $19 per production domain once you ship, the same at any import volume. Adding a domain is the only thing that changes the bill.

100% client-sideWhite-labelFlat $19/domain/month

Updog and Ivandt at a glance

DimensionUpdogIvandt
Data privacyFiles 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.Files are parsed, validated, and edited in the browser, and the $399 SDK plan stores no rows on Ivandt's servers. Column headers that local matching cannot resolve go to its mapping API, every submit posts your field schema with the file name, size, and row counts, and the session your backend mints names the end user importing. The $599 hosted plan stores the rows and the original file. SOC 2, ISO 27001, and HIPAA are stated for the hosting providers, with Ivandt's own certification in progress and no residency region named.
White-labelFull styling through CSS variables and class overrides. No Updog logos or "powered by" on any plan, including the free one.CSS custom properties for colors, radii, and the dialog, with light and dark defaults, plus a hosted theme designer. The widget ships a "Powered by Ivandt" label, with no setting found to hide it. White-label branding is an add-on to both plans, with no published price.
PricingFree 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.Public and flat in US dollars, with no metering. SDK only is $399 a month for unlimited imports, rows, and users. Hosted is $599 and adds 5 GB of storage, import tracking, and audit logs, with more at $20 per GB. Both include a 14-day trial. No free tier was found.
Data mappingSchema 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, or no schema at all. In the schema-less flow the user picks a field type per column at import time, and each type brings its own validation and formatting. With a schema, headers match on an exact name, then on alternative names you supply per field, then through Ivandt's mapping API for the rest. Values map to your dropdown options. No stored mapping history was found.
Data cleaningCells 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.A Handsontable grid with inline editing, undo and redo, and copy and paste. Eighteen validators cover the usual checks and cross-field rules, each able to block submission or only warn. Smart fix puts a one-click correction in the error tooltip, such as a typo in a dropdown value. Twenty-five transformers run on load or on a failed cell. Invalid rows can block submit or be dropped, and the reviewed data exports to XLSX, CSV, or JSON. Sorting is off in the shipped grid.
Scale & performanceAbout 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.Runs in the browser, parsing and validating across web workers. The docs claim a responsive interface past 500,000 rows, with exports tested at 500,000 by 10 columns. The shipped defaults stop an upload at 100,000 rows, 10 columns, and 20 MB, all documented as configurable.
IntegrationReact 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 web component with React, Vue, and Angular wrappers that ship, plus a CDN build, rendered as a page, a dialog, or a button that opens one. Your backend has to mint a session token from a secret key before it will render, so a frontend-only app cannot use it. Reads .xlsx, .xls, .csv, .json, and .txt by default.
Languages & RTLEnglish 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 translation system was found. The Handsontable review grid follows the page's text direction, so it renders right to left inside a right-to-left page, though Ivandt does not document this.
AccessibilityAn 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.The review grid is Handsontable 16, which carries ARIA grid roles and keyboard navigation. Ivandt documents neither and publishes no accessibility statement.

Ivandt's site lists TSV and PDF tables among supported formats, while the shipped package accepts .xlsx, .xls, .csv, .json, and .txt by default. Facts checked against Ivandt's public pages in August 2026.

Which one fits your team

Ivandt may fit better if

  • You want users to import a file with no schema at all, picking a field type per column as they go.
  • You want a one-click fix on a failed cell, and validators that can warn instead of blocking the import.
  • You want column matching and field-type suggestions to work out of the box, with no AI endpoint of your own to connect.
  • You want a hosted plan that keeps the imported files and rows, with import tracking and audit logs.
  • You want a visual theme designer your team can use instead of writing CSS.

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 Ivandt?

No. Both embed a client-side import flow, but Ivandt needs your backend to mint a session token before it will render, and Updog runs with no server at all. Updog's flow also continues into a full spreadsheet editor.

How do the two handle data privacy?

Neither sends row data to a vendor on Ivandt's SDK plan. Updog has no server mode at all. Ivandt sends unresolved column headers to its mapping API and posts your field schema and import counts on every submit, and its hosted plan stores the rows and the original file.

How does Updog pricing compare?

Updog is a flat $19 per production domain per month, free in development. Ivandt is $399 a month for the SDK or $599 for the hosted plan, both flat with unlimited imports.

Can Updog handle large files like Ivandt?

Yes, about 1 million rows in the browser, bound by the machine's memory. Ivandt is client-side too, with tested figures of 300,000 to 500,000 rows at 10 columns and a shipped default that stops an upload at 100,000 rows.

Does either one need a backend?

Updog does not, on any plan. Ivandt does. Its secret key has to stay on a server, and that server calls Ivandt to mint a short-lived session token before the importer will render.

Does Updog have built-in AI mapping like Ivandt?

No. Updog uses fuzzy matching with a synonym dictionary you can extend, and can call an AI endpoint you control. Ivandt matches on exact names and the alternative names you supply, then sends the rest to its own mapping service.

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. Ivandt's review grid only appears during an import.

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. Ivandt's review grid inherits ARIA grid roles and keyboard navigation from Handsontable 16, though Ivandt documents neither and publishes no accessibility statement.

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. No interface translation system was found for Ivandt. Its Handsontable grid follows the page's text direction, so it renders right to left inside a right-to-left page, though Ivandt does not document this.

Try Updog for free

Install the package, add your columns, render the component. Free on localhost and preview domains. Every feature included.