Software Alternatives & Startups

Dividend Data VS Data Analytic System

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

Dividend Data

Stock data in your spreadsheet, automatically.

Rating
0 reviews
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
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Which is more popular?

Trading popularity
100% vs 0%
alternatives listed
11 vs 6

Base details

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

Dividend Data
Data Analytic System
Website dividenddata.com dataanalyticsystem.com
Pricing
Platforms
Web
Company Startup from the United States Startup from Hungary
Listed in

About Dividend Data and Data Analytic System

In their own words, as submitted to SaaSHub.

Dividend Data
Data Analytic System

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets — no API keys, no coding, no copying and pasting. Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout...

Read more about Dividend Data

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.

Dividend Data 5 features
Data Analytic System 6 features
  • Free Access to Dividend Information
    Dividend Data provides free access to dividend history, yield, and payout data for many stocks, making it accessible to casual investors without a subscription fee.
  • Historical Dividend Data
    The site offers historical dividend payment records, allowing users to track how a company's dividend payments have changed over time.
  • Simple Interface
    The website has a relatively straightforward and easy-to-navigate layout, making it accessible to investors who may not be tech-savvy or experienced with more complex financial platforms.
  • Dividend Calendar Feature
    Provides a calendar view of upcoming ex-dividend dates and payment dates, helping investors plan their dividend capture strategies or income timing.
  • Focus on Dividend Investors
    The site is specifically tailored to dividend-focused investors, aggregating relevant metrics like yield, payout ratio, and dividend growth in one place rather than requiring users to search multiple sources.

Possible disadvantages

  • Limited Data Depth
    Compared to premium financial data services, Dividend Data may lack the depth of analysis, such as detailed payout ratio trends, dividend safety scores, or extensive historical data going back many decades.
  • Potential for Outdated Information
    Free dividend tracking sites sometimes struggle with timely updates, and there is a risk that dividend announcements, cuts, or changes may not be reflected immediately.
  • Limited International Coverage
    The platform may primarily focus on domestic (often US or UK) stocks, limiting its usefulness for investors seeking dividend data on international or emerging market equities.
  • Advertising and Monetization
    As a free service, the site may rely on ads or affiliate links, which can clutter the user experience or create potential bias in featured content or recommendations.
  • Lack of Advanced Tools
    The platform may not offer advanced portfolio tracking, tax-related dividend calculations, or integration with brokerage accounts that more comprehensive financial platforms provide.
  • 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.

Dividend Data
Data Analytic System

Overall verdict

  • Dividend Data (dividenddata.com) is a useful free resource for investors tracking UK and international dividend-paying stocks, offering solid data coverage for the price, though it lacks some of the polish and advanced analytics of premium paid platforms.

Why this product is good

  • Provides comprehensive dividend history, yield, and payment date information for a wide range of listed companies, particularly strong on UK equities
  • Free to access, making it accessible for retail investors without subscription costs
  • Includes forecast dividend data and ex-dividend date calendars, useful for planning income strategies
  • Simple, straightforward interface that is easy to navigate for basic dividend lookups
  • Aggregates data that would otherwise require checking multiple company reports or exchange filings

Recommended for

  • UK-focused income investors seeking dividend yield and payment date information
  • Retail investors building dividend income portfolios on a budget
  • Casual investors who want quick reference data without paying for premium research tools
  • People tracking ex-dividend dates to time purchases or avoid missing payments
  • Investors who want a supplementary free tool alongside other more detailed brokerage or analytics platforms

No analysis of Data Analytic System yet.

Videos

Walkthroughs and reviews on video.

Dividend Data 0 videos + Add
Data Analytic System 2 videos + Add

No Dividend Data videos yet. You could help us improve this page by suggesting one.

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
Dividend Data
Data Analytic System
100% 100%
0% 0%
50% 50%
50% 50%
0% 0%
100% 100%
100% 100%
0% 0%

Questions & Answers

As answered by people managing Dividend Data 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.

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