Seqora.dev VS Data Analytic System

Seqora.dev's answer

It opens fast and does not get in your way. The Free plan covers what most people need every day: connections, the SQL editor with completion, browsing and editing rows, exports and query history. It needs no account, has no time limit, and you can use it at work.

There is no AI in Seqora. Your connections, passwords and queries stay on your computer.

It is built by one person. If something is annoying you, you can email me directly and I will fix it.

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.

Seqora.dev's answer

Seqora shows you what a change will do before you run it. When you edit a row in the data grid, the edit is staged with the old value and the new value, and you apply it or discard it. When you change the schema on the ER diagram, it shows the SQL first.

The pages for indexes, constraints and triggers explain what they do. The index page tells you which queries that index can answer. The constraints page tells you what happens to the other tables when you delete a row.

The connection you are on, and whether it is development or production, is always visible on screen.

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.

Seqora.dev's answer

People who write SQL every day and also take care of a database as part of their job. Mostly backend developers, and people running a small product on PostgreSQL, MySQL or SQLite.

They already know SQL. They may not have time to learn what the query planner is doing, or what a foreign key does on delete. Seqora tries to show that on screen so they do not need to look it up.

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.

Seqora.dev's answer

I built Seqora because I was not happy with my database client. It was slow to open and the shortcuts felt wrong to me.

I started with a small rough version that only opened a database and let me move around fast. I used it daily and that showed me what to build next.

Before writing any feature list, I wrote down four questions I wanted answered without clicking: which connection am I on, will this change data, what just ran, and how does this table relate to that one. Most of Seqora comes from those four questions.

I work on it alone from Hyderabad. I fix the small annoying things first.

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.

Seqora.dev's answer

• Tauri 2 for the desktop app
• Rust for the database side, using tokio-postgres, mysql_async and rusqlite
• Svelte 5 for the UI
• CodeMirror 6 for the SQL editor

It uses the system web view instead of bundling a browser, so the app is small and starts fast.

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.