Dromo vs Ivandt
Which importer actually lets you stop writing custom scripts?
If you've tried both, you already know this: on the surface Dromo and Ivandt look similar. Both let your users upload CSV/Excel, see a spreadsheet-like UI, fix errors, and get JSON back. Where they really diverge is how you integrate them, how much custom code they force you to write, and how far they scale before things start to hurt.
At a glance
Key differences
Real-world comparison (developer-to-developer)
Integration: React SDK vs Web Component
Integrate via JavaScript/React SDK (DromoUploader component). Pre-built UI that drops into your app. Layout and behavior controlled by Dromo. Styling via configuration options and theme props.
Framework-agnostic web component with thin wrappers for React, Vue, Angular, and Svelte. Native element in your DOM - render anywhere: full page, modal, sidebars, split views. CSS variables + visual Theme Designer for pixel-perfect integration.
Dromo feels like "dropping someone else's app into yours". Ivandt feels like "another component in your app" that just happens to do the hard stuff.
Validation Logic: Custom Hooks vs JSON Rules
Define fields with types (email, url, number, date). Field validators: required, unique, unique_with. Dynamic or cross-field logic requires custom hooks. Country/State cascades solved with imperative hook code.
Full validator engine with basic and advanced validators. DataSources: reusable in-memory or remote data sets. Queries: JSON rules that filter based on other cells. Country/State cascade is declarative JSON, not hooks. Rules run in web workers, in parallel.
With Dromo, complex business rules eventually pull you back into custom JavaScript. With Ivandt, those same rules live in a schema, are reusable, testable, and naturally parallelizable.
Data Transformation: Manual Functions vs Transformer Library
"Hooks everywhere": column hooks and row hooks. Every cleanup rule becomes a function you own. Uppercase, phone normalization, country codes = custom code you deploy and maintain.
Large built-in transformer library: trimming, case changes, currency, dates, ID generation. Defined in your schema, not in code. Run automatically during validation or via Smart Fix. Declarative = runs in web workers without UI freeze.
Your "uppercase first name" example is configuration in Ivandt, but code in Dromo.
Remote Data & Lookups
API lookups and enrichments via hooks. You write fetch logic, concurrency, retry, caching. Error handling is your responsibility.
Remote data is a first-class concept. DataSources backed by static JSON or remote APIs. Dropdowns wired directly to sources with JSON rules. Google Places, IATA airports, internal product search. Bulk/batch calls, caching, retry & backoff built-in.
Your "Excel column of addresses validated against Google" story is a first-class Ivandt feature, while in Dromo it's a custom hook pipeline.
Performance Comparison: Main Thread vs Web Workers
Parses files in-browser, good for typical SaaS use cases. Struggles around ~10k rows: UI lag, parsing slowdowns. Very large files require Headless API (server-side, premium).
Built from day one around web workers + concurrent processing. 1M+ cells/sec in the browser as a core promise. Parsing, validation, transformation all parallelized. UI stays responsive even with large files.
Dromo is fine until your customers hit "big CSVs". Ivandt is designed specifically for big, ugly files without forcing you into a separate server-side product.
Schema-less Import Capabilities
Always needs a schema. Either saved in Schema Studio or fields array in code. Must define at least a minimal schema first.
Dedicated schema-less flow. User uploads any file, Ivandt parses it. Assign field types per column (text, numeric, date, phone). AI suggests field types from header names. Validation, cleaning, Smart Fix all still work.
No schema, no time, just upload, clean, and go.
Smart Fix UX: Manual Correction vs One-Click Fixes
Solid inline error reporting. AI suggestions to help correct invalid data. Automatic fixes still live inside your hooks - you decide how to clean and re-emit corrected values.
Smart Fix baked into the core import flow. Each field type surfaces one-click suggestions: "Fix to E.164 phone", "Trim whitespace", "Normalize currency". Powered by the same transformer library. Every error has "what's wrong" + "click to fix it".
This is the difference between a generic error table and something that actually guides non-technical users through cleanup.
Pricing Comparison: Dromo vs Ivandt
Fully hosted SaaS. Pricing tiered, often tied to imports/volume. Enterprise features require talking to sales. Headless API and advanced quotas are premium.
Client-side processing, zero data storage by default. All parsing, validation, transformation in the browser. Flat, subscription-based pricing. Unlimited imports per account (no per-import trap). Optional hosted features on top.
We're not here to meter every import. We're here to solve the problem.
Frequently asked questions
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Last updated: December 2025 • Have feedback? Let us know