Software Alternatives & Startups

Xively VS Data Analytic System

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

Xively

Xively offers an Internet of Things product relationship management solution for enterprises.

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

Which is more popular?

IoT Platform popularity
100% vs 0%
alternatives listed
96 vs 6

Base details

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

Xively
Data Analytic System
Website xively.com dataanalyticsystem.com
Pricing —
Platforms —
Web
Company — Startup from Hungary
Listed in

About Xively and Data Analytic System

In their own words, as submitted to SaaSHub.

Xively
Data Analytic System

No description of Xively 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.

Xively 5 features
Data Analytic System 6 features
  • Ease of Integration
    Xively offers a simple and straightforward API that makes it easy for developers to integrate IoT devices.
  • Scalability
    The platform is designed to handle a large number of devices and data points, which makes it suitable for growing IoT deployments.
  • Real-time Data
    Xively provides real-time data streaming and analytics, allowing users to make immediate decisions based on live data.
  • Security
    Strong emphasis on security features like device authentication and data encryption to protect sensitive information.
  • User-Friendly Interface
    The platform includes a user-friendly dashboard that helps in monitoring and managing connected devices efficiently.

Possible disadvantages

  • Cost
    The pricing model can be expensive for small businesses or individual developers compared to some competitors.
  • Limited Customization
    While the platform is user-friendly, it may offer limited customizability for very specific use cases or unique requirements.
  • Dependency on External Service
    Relying on Xively means any downtime or service interruption on their end could affect your IoT deployments.
  • Learning Curve
    Despite its ease of integration, new users may face a learning curve to familiarize themselves with all features and capabilities.
  • Data Storage Limitations
    There might be limitations on data storage, which could be a concern for applications requiring extensive historical data analysis.
  • 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.

Xively
Data Analytic System

Overall verdict

  • As of February 2018, Xively was acquired by Google and its services were integrated into Google's cloud platform offerings, specifically into the Google Cloud IoT Core. Therefore, Xively as a standalone platform does not exist anymore. Companies seeking similar services should explore Google's IoT offerings.

Why this product is good

  • Xively, a former IoT platform, was known for its ability to connect devices and integrate data for analytics and monitoring. It provided robust tools for device management and offered a comprehensive suite of APIs to streamline IoT deployments. However, the platform's reputation varied depending on users' company size, budget, and technical needs. Its strength lay in its ease of integration and focus on building IoT solutions, which was beneficial for companies looking to improve their IoT infrastructure rapidly.

Recommended for

    Google Cloud IoT Core, the service that absorbed Xively, is recommended for enterprises looking for large-scale IoT solutions that require robust cloud integration capabilities, particularly those already using or planning to use Google Cloud services.

No analysis of Data Analytic System yet.

Videos

Walkthroughs and reviews on video.

Xively 2 videos + Add
Data Analytic System 2 videos + Add

Internet of Things with Xively, Arduino and the CC3000 WiFi chip

More videos

  • - Cloud Laser Doorbell with Xively

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
Xively
Data Analytic System
100% 100%
0% 0%
0% 0%
100% 100%
95% 95%
5% 5%
100% 100%
0% 0%

Questions & Answers

As answered by people managing Xively 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

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