
Google Sheets
Microsoft Office Excel
Equals
LeapRows
OrcaSheets
Quadratic
Airtable
Row Zero is the best spreadsheet for big data. Row Zero has all the spreadsheet features you know and love, but can handle 1+ billion rows, process data faster, connect live to your data warehouse and supports sharing.

Microsoft Office Excel
Google Sheets
DB Browser for SQLite
Modern CSV
LibreOffice
Airtable
Apache OpenOffice Calc
100% local, zero uploads. Process millions of rows entirely in your browser. The ultimate privacy-first toolkit for CSV, ecommerce, and marketing data.

Which is more popular?
Based on our record, Row Zero seems to be more popular. It has been mentioned 8 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | rowzero.com | dataprep.dev |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 10 - 19 employees · 2024 | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Row Zero is the best spreadsheet for big data. It enables operations, finance, marketing, and other business teams to securely analyze and work with big data sets in a familiar and flexible spreadsheet. Row Zero can open 1 billion row data sets, connect directly to data warehouses, and support...
The Browser Data Toolkit for Privacy-Conscious Professionals dataprep.dev is a 100% local, pure-browser data processing engine designed to solve the biggest headaches in data preparation: Excel crashes and privacy risks. Powered by cutting-edge DuckDB-Wasm technology, our toolkit brings...
What each product offers, as listed by its team.


Walkthroughs and reviews on video.
Row Zero - The world's fastest spreadsheet
More videos
Instant SQL on CSV in Browser (DuckDB-Wasm) - Zero Uploads
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Row Zero and dataprep.dev.
Row Zero's answer
Row Zero is the world's fastest spreadsheet, designed for big data sets. If a user already knows how to use a spreadsheet and needs to analyze or transform large data sets, Row Zero is the perfect tool. Data teams that serve large businesses can off-load ad-hoc and last mile analytics requests by enabling their business partners to work in Row Zero.
dataprep.dev's answer:
If you try to open a 2GB CSV in Excel, it freezes and crashes. If you use Python Pandas, you have to write code and manage environments. dataprep.dev gives you the power of code (SQL queries, regex, merging 50 files) with a simple drag-and-drop UI, without ever freezing your computer.
Row Zero's answer
Row Zero's is a last mile analytics tool that enables business teams (marketing, operations, finance, etc...) to connect to cloud data warehouses and work with big data sets in a spreadsheet they already know how to use. BI tools are great for high level metric monitoring but the work initiated as a result of those dashboards needs to happen in a tool where business teams can see and interact with their data.
dataprep.dev's answer:
Most data tools force you to upload your CSVs to their servers. We don't. We compiled DuckDB into WebAssembly, meaning you get a blazing-fast, database-level engine running entirely inside your local browser tab. It's 100% private and works instantly.
Row Zero's answer
Business teams that need to work with big data sets but prefer a spreadsheet over writing SQL or rigid BI tools.
dataprep.dev's answer:
E-commerce sellers flattening messy Shopify exports, performance marketers cleaning ad reports, and data analysts who need to anonymize PII (GDPR compliance) before feeding datasets to AI models like ChatGPT.
Row Zero's answer
Row Zero was born out of our own frustrations doing data analysis on big data sets. Excel and Google Sheets don't easily connect to cloud data warehouses and have small row limits. We needed to open multi-million row data sets and analyze them quickly. Row Zero is the highly performant tool we wish we'd had.
dataprep.dev's answer:
I was trying to clean up a massive, messy Shopify order export. Excel kept freezing, and I absolutely refused to upload sensitive customer emails to random online converters. I got so frustrated that I decided to stop complaining and build a local-first toolkit to solve my own workflow nightmare.
Row Zero's answer
dataprep.dev's answer:
DuckDB-Wasm is the core data engine handling the heavy lifting. The frontend is built with React/Next.js and styled with Tailwind CSS. It's a modern, serverless architecture.
dataprep.dev's answer:
1, Indie hackers and solo founders. 2, Boutique digital marketing agencies. 3, Privacy-conscious data freelancers.
Share your experience with using Row Zero and dataprep.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Try https://rowzero.com ? We have written a much faster spreadsheet engine and regularly work with 10M+ row datasets. - Source: Hacker News / 6 months ago
How large are you talking about? Have you tried https://rowzero.io? - Source: Hacker News / about 1 year ago
You should check out Row Zero (https://rowzero.io). We launched on HN earlier this year. Our CSV handling is the best on the market. You can import multi GB csvs, we auto infer your format, and land your data in a full-featured... - Source: Hacker News / almost 2 years ago
Tracking dataprep.dev since Jul 2026.
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Analyze large CSV files instantly in your browser with LeapRows. No upload required. Experience lightning-fast data processing and automation with DuckDB-WASM technology.
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