Rowmill.app VS Data Analytic System

Rowmill.app's answer

It depends on what you're using now.

If you upload big files to a cloud spreadsheet or an online converter: Rowmill does that job without the upload and without an account. That matters when the file has customer or staff data in it.

If Excel cut your file off at 1,048,576 rows: Rowmill opens all of it. We've measured 100,000,000 rows at 6 columns, a 7.8 GB file. The pivot works the way Excel's does.

If you're on a Mac: Excel there has no Power Pivot, so nothing inside Excel gets you past the row limit. Rowmill works the same on a Mac as on Windows.

If you're on Windows and Power Query already works for you, keep using it. Rowmill is for when Excel locks up before the file even opens, or when you need the answer before you've learned a transform pipeline.

Data Analytic System's answer:

Price trackers like CoinGecko or CoinMarketCap show numbers; Data Analytic System shows the numbers together with their source, date and context, and adds what trackers do not: an ESMA-based MiCA/CASP status list for EU exchanges, sourced documentary studies, a free glossary and learning modules, and multilingual e-books (EN, HU, ES). The free tier has no delay and the same data as the paid tier. We do not sell trading calls or recommendations of any kind.

Rowmill.app's answer

Most tools that open the files Excel gives up on make you trade something away. Either the file goes to their server, or you write SQL to get anything out of it. Rowmill asks for neither.

You drop a CSV, then drag fields onto Rows, Columns and Values, the same way you'd build a pivot table in Excel. At ten million rows the answer comes back in about a second. The file is read inside your browser tab and never sent anywhere, and you don't have to take that on trust: Rowmill counts every byte it sends and shows you the total.

It's also upfront about its limits: the home page lists what it can't do.

Data Analytic System's answer:

Every data panel and every article names its source and date. The platform is run by a small Budapest-based publisher (Data Analytic Investments Kft.) and combines live market data for crypto, equity indices, FX and commodities with an EU MiCA/CASP authorisation tracker, a free glossary and learning modules, and documentary studies such as the RIPPLE book, in which every factual claim carries a verifiable reference. Content is produced with a documented human+AI verification workflow (Uncle Sunny method): a human editor closes every item. Educational content only, not investment advice.

Rowmill.app's answer

People in operations, finance, HR and agencies. Someone exports a file from a CRM, payroll, billing or an ad platform and needs one answer from it today: which client billed the most in June, how many people are on each contract type, where the ad spend went.

They know pivot tables. They don't write SQL, and they shouldn't need to. The file often has customer or employee data in it, so a free online tool is out, and the data team is a ticket and a few days away.

Rowmill isn't built for developers or data engineers, who already have good tools for this.

Data Analytic System's answer:

People who want to understand crypto and macro markets rather than be told what to do: self-directed readers, students, journalists and compliance-minded professionals in the EU, plus Hungarian- and Spanish-speaking readers who lack sourced material in their language. Typical use: checking a data point with its source, reading the MiCA status of an exchange, or working through a learning module.

Rowmill.app's answer

Rowmill started from a situation that keeps repeating. Someone exports a file from payroll, billing or an ad platform and needs one number from it. Excel loads the first 1,048,576 rows and drops the rest. The free tools that could open it want it uploaded, and it has customer or staff data in it. The data team is a ticket and three days away. So people split the file into pieces, or wait, or upload it and hope.

When I mapped the tools that can open a big file, they mostly fell into two groups. The ones that keep your data on your machine want you to write SQL. The ones that don't need SQL want your file on their server. Rowmill is my attempt to need neither: the file stays on your device, and you work with it by pointing and clicking.

A mill takes raw material in bulk and turns it into something usable, which is where the name comes from. I'm building Rowmill on my own, in Poland, and it has been in public beta since October 2026. What I build next depends on what people do with it.

Data Analytic System's answer:

Data Analytic Investments Kft. was founded in Budapest in 2026 by Janos Szabo. The starting point was frustration with crypto content that mixes facts, opinion and promotion without references. The answer was a publishing method (Uncle Sunny) in which nothing is published before it is challenged and sourced, and a site built around that rule. The first flagship product was the RIPPLE documentary study (ISBN 978-615-83207 series, HU/EN/ES); the market-data dashboards, the MiCA tracker and the learning sections followed.

Rowmill.app's answer

It's a web app, and all of the work happens in your browser tab. A database engine running inside the tab reads the file from your disk and converts it once, on your device, so that later questions only read the columns and rows they need. That's why a pivot over ten million rows answers in about a second.

There's no server on the other end to send the file to. There's nothing to install and no account, and once your file is open it keeps working with Wi-Fi off. It runs in current desktop Chrome, Firefox and Safari.

Data Analytic System's answer:

A TypeScript/React web application with server-side rendering, a MySQL database, and Stripe for payments. Market data comes from public exchange and data-provider APIs; regulatory data from ESMA registers. The editorial workflow uses several AI systems under human review, with every published claim tied to a named source.