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pgModeler VS Data Analytic System

Compare pgModeler VS Data Analytic System and see what are their differences

pgModeler

Open source data modeling tool designed for PostgreSQL. No more DDL commands written by hand. Let pgModeler do the job for you!

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Data Analytic System

Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice.

Rating
0 reviews
Alternatives Is it good?
Lucris
Financial decision-making for Shopify brands, connecting sales and marketing to show what drives profit - and what to do next. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, pgModeler seems to be more popular. It has been mentioned 8 times since March 2021.

social mentions
8 vs 0
Databases popularity
100% vs 0%
alternatives listed
91 vs 6

Base details

Website, pricing, platforms and company facts side by side.

pgModeler
Data Analytic System
Website pgmodeler.io dataanalyticsystem.com
Pricing
Open source
Official pricing
Platforms —
Web
Company — Startup from Hungary
Listed in
Data Modeling Databases Data Management Development +1
Finance Cryptocurrencies Data Analysis Data Dashboard Crypto Analysis Cryptocurrencies Dashboard +3

About pgModeler and Data Analytic System

In their own words, as submitted to SaaSHub.

pgModeler
Data Analytic System

No description of pgModeler yet.

Data Analytic System (DAS) is an educational crypto-market platform run by Data Analytic Investments Kft. (Budapest, EU). What it offers: - Live, sourced market-data dashboards for BTC, ETH, XRP, SOL and other major assets, plus equity indices, FX and commodities - A MiCA / CASP authorisation...

Read more about Data Analytic System

Features and specs

What each product offers, as listed by its team.

pgModeler 6 features
Data Analytic System 6 features
  • Cross-Platform Compatibility
    pgModeler is available for multiple operating systems, including Windows, macOS, and Linux, making it accessible to a wide range of users.
  • Open Source
    As an open-source tool, pgModeler allows users to review its source code, request features, or contribute to its development, fostering a collaborative environment.
  • PostgreSQL Specific
    pgModeler is designed specifically for PostgreSQL, offering features and optimizations that are closely aligned with the database's unique capabilities.
  • Intuitive Interface
    The software provides an intuitive graphical interface for designing and modeling databases, which helps to simplify complex database tasks.
  • Extensive Documentation
    pgModeler offers detailed documentation, tutorials, and user guides that help users understand and effectively use the tool.
  • Regular Updates
    The tool receives regular updates, ensuring that it remains up-to-date with the latest PostgreSQL features and industry standards.

Possible disadvantages

  • Learning Curve
    New users, especially those unfamiliar with PostgreSQL, may find pgModeler challenging to learn and use effectively at first.
  • Limited to PostgreSQL
    As pgModeler is designed specifically for PostgreSQL, it may not be suitable for users who need to work with other database management systems.
  • Performance Issues
    Some users have reported performance issues, particularly when working with large and complex database models.
  • Paid Version for Complete Features
    While pgModeler is open source, some advanced features and regular binary releases are only available in the paid version or via custom compilations.
  • Dependency on External Tools
    pgModeler might require additional external tools or libraries to fully utilize all its features, which could complicate the setup process.
  • UI/UX Limitations
    The user interface, while functional, might not be as polished or modern as some commercial database modeling tools.
  • Live market data
    Crypto, equity indices, FX and commodities — every panel names its source and date
  • MiCA / CASP tracker
    EU exchange authorisation status based on ESMA registers
  • Market Observation Pro
    20 custom price levels, CSV and JSON export (free tier: same data, no delay)
  • Learning modules and glossary
    8 free modules, free glossary, Kripto Akademia (50 assets, 12 categories)
  • Documentary studies and e-books
    RIPPLE study with sourced claims; PDF + audiobook; EN, HU, ES
  • Languages
    Site in English and Hungarian; books in EN, HU, ES

Analysis

An editorial look at what each product does well and who it suits.

pgModeler
Data Analytic System

Overall verdict

  • Overall, pgModeler is a solid choice for those seeking a comprehensive and visually intuitive tool for PostgreSQL database design and management. Its open-source nature and feature-rich environment provide valuable resources for both beginner and advanced database designers.

Why this product is good

  • pgModeler is often considered a good tool because it offers a wide range of features for designing and modeling PostgreSQL databases. It allows users to create, edit, and delete database objects such as tables, functions, and schemas via a user-friendly interface. It also supports reverse engineering to generate models from existing databases, model validation to ensure database integrity, and has a range of export options. Furthermore, it is open-source, which makes it accessible for users who prefer or require customizable tools.

Recommended for

  • Database administrators managing PostgreSQL databases
  • Developers who need to design and model complex database schemas
  • Organizations looking for an open-source and cost-effective database modeling solution
  • Students or educators requiring a tool for learning or teaching database concepts

No analysis of Data Analytic System yet.

Videos

Walkthroughs and reviews on video.

pgModeler 1 video + Add
Data Analytic System 2 videos + Add

pgModeler 0.6.0-beta: Reverse engineering in action!

The Analyst Room — Ep. 2: RIPPLE, the book. 22 chapters, 4 languages, PDF + audiobook

More videos

  • - The Analyst Room Podcast — Episode 1: One person, four AI systems, and how the site actually works

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
pgModeler
Data Analytic System
100% 100%
Databases
0% 0%
0% 0%
Finance
100% 100%
100% 100%
Data Modeling
0% 0%
0% 0%
Data Dashboard
100% 100%

Questions & Answers

As answered by people managing pgModeler and Data Analytic System.

Why should a person choose your product over its competitors?

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.

What makes your product unique?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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.

User comments

Share your experience with using pgModeler and Data Analytic System. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

pgModeler no reviews yet
Data Analytic System no reviews yet
  • Top 9 Data Modeling Tools Every Team Needs
    www.devart.com · Jul 2025

    PgModeler (PostgreSQL Database Modeler) is an open-source data modeling tool specifically designed for PostgreSQL. It allows users to create, edit, and manage database structures through a visual interface, making it...

We have no reviews of Data Analytic System yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

pgModeler 8 mentions
Data Analytic System 0 mentions
  • PostgreSQL IDE in VS Code
    I wonder how this compares to pgModeler (https://pgmodeler.io/) which I've been using the most in the recent years, would love is someone who had tried both could share some observations. - Source: Hacker News / over 1 year ago
  • Found a simple tool for database modeling: dbdiagram.io
    I usually go with the FOSS https://pgmodeler.io Its feature-rich, and its ability to compare database schemas makes updating and applying diffs much easier. - Source: Hacker News / over 1 year ago
  • Trek – An opinionated PostgreSQL Migration creator
    Co-creator of Trek here. Trek generated migration files based on the diff between a pgModeler(1) schema definition and existing migration files. Trek also helps deploying those migrations. I'd be happy to respond to any questions here :)... - Source: Hacker News / almost 3 years ago

View more

Tracking Data Analytic System since Sep 2026.

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