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PlugShare VS Data Analytic System

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

PS
PlugShare

Find and share information about EV charging stations

No screenshot yet
Rating
0 reviews
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?
SquadPrime
Free MVP cost calculator: describe your app in 5 clicks and get a realistic 2026 estimate for a freelancer build, a traditional agency and a fixed-price 14-day build by senior professionals, where the client owns the code. 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, PlugShare seems to be more popular. It has been mentioned 164 times since March 2021.

social mentions
164 vs 0
Cars popularity
100% vs 0%
alternatives listed
30 vs 6

Base details

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

PS
PlugShare
Data Analytic System
Website plugshare.com dataanalyticsystem.com
Pricing —
Official pricing
Platforms —
Web
Company — Startup from Hungary
Listed in
Cars Automotive Maps Android +1
Finance Cryptocurrencies Data Analysis Data Dashboard Crypto Analysis Cryptocurrencies Dashboard +3

About PlugShare and Data Analytic System

In their own words, as submitted to SaaSHub.

PS
PlugShare
Data Analytic System

No description of PlugShare 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.

PS
PlugShare 6 features
Data Analytic System 6 features
  • Extensive Database
    PlugShare offers one of the most comprehensive databases of EV charging stations globally, making it easier for users to find charging points almost anywhere they go.
  • Real-Time Information
    The platform provides real-time data on charging station availability, status, and pricing, which helps drivers make informed decisions.
  • User Reviews and Ratings
    Users can leave reviews and ratings for charging stations, providing valuable insights and helping others choose the best locations.
  • Route Planning
    The app supports route planning, showing available charging stations along a planned route, which is useful for long trips.
  • Filter Options
    Users can filter search results based on criteria like charging speed, network, and availability, making it easier to find suitable charging stations.
  • Community Engagement
    The platform promotes community interaction through its social features, including sharing tips and connecting with other EV owners.

Possible disadvantages

  • Inconsistent Information
    Some users report inconsistencies between real-time data and actual availability or operational status of charging stations.
  • Dependence on User Contributions
    Since much of the information is user-generated, the accuracy and completeness can vary, depending on the contributions from the community.
  • Limited Offline Functionality
    The app's usability is significantly reduced without an internet connection, which can be inconvenient in areas with poor network coverage.
  • Interface Complexity
    The app’s interface can be overwhelming for new users due to the abundance of features and options available.
  • Privacy Concerns
    As with any app that tracks location and collects user data, there are potential privacy issues concerning how PlugShare manages and uses this information.
  • 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.

PS
PlugShare
Data Analytic System

Overall verdict

  • Overall, PlugShare is a highly recommended resource for electric vehicle owners seeking to locate reliable charging stations, thanks to its comprehensive data and user-friendly interface.

Why this product is good

  • PlugShare is considered a good platform primarily because it provides an extensive and user-generated database of electric vehicle charging stations. It offers detailed information about each charging location, including the type of chargers available, pricing, operational status, and user reviews. Additionally, it features a robust community of EV drivers who share their experiences and provide updates on the functionality of stations.

Recommended for

  • Electric vehicle owners
  • Long-distance drivers
  • Fleet managers
  • Environmental enthusiasts
  • People interested in transitioning to EVs

No analysis of Data Analytic System yet.

Videos

Walkthroughs and reviews on video.

PS
PlugShare 2 videos + Add
Data Analytic System 2 videos + Add

How To Find Free EV Charging Stations on a Trip - Plugshare App

More videos

  • - PlugShare Review

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
PS
PlugShare
Data Analytic System
100% 100%
Cars
0% 0%
0% 0%
Crypto Analysis
100% 100%
100% 100%
Maps
0% 0%
0% 0%
Finance
100% 100%

Questions & Answers

As answered by people managing PlugShare 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 PlugShare and Data Analytic System. For example, how are they different and which one is better?

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Social recommendations and mentions

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

PS
PlugShare 164 mentions
Data Analytic System 0 mentions
  • First EV Trip
    Obviously I'm being a little sarcastic, but I'm serious as well. ABRP answers about 90% of such questions, and plugshare.com answers the remaining ones ("how reliable are the chargers at XYZ location?"). Source: almost 3 years ago
  • New Ariya owner, any tips?
    You can check recent check-ins at those chargers and find others in https://plugshare.com. Source: about 3 years ago
  • I don't have EV, but can I charge my portable power station with a Tesla charging pile in supercharger station? Besides, I can't find a place near me to recharge my battery.
    HOWEVER, you can setup to charge at a J1772 Level-2 charging station which are ALL over the place and often free. Checkout plugshare.com to find them. These are essentially fancy 220v chargers and can be converted to charge power banks... Source: over 3 years ago

View more

Tracking Data Analytic System since Sep 2026.

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