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  5. Google Analytics vs Superset

Google Analytics vs Superset

OverviewComparisonAlternatives

Overview

Google Analytics
Google Analytics
Stacks128.5K
Followers50.7K
Votes5.1K
Superset
Superset
Stacks420
Followers1.0K
Votes45

Google Analytics vs Superset: What are the differences?

# Key Differences between Google Analytics and Superset

Google Analytics and Superset are both powerful tools for analyzing data, but they have notable differences that make each suitable for different purposes. Here are the key differences between the two platforms:

1. **Data Source Connectivity**: Google Analytics is primarily designed to analyze website data collected through Google tracking code, while Superset is a data visualization tool that connects to a wide range of databases, enabling users to analyze different types of data sources such as SQL databases, Druid, and MongoDB.

2. **Cost**: Google Analytics has a free version with limited features and a premium version for more advanced analytics needs, whereas Superset is an open-source platform that can be set up on-premises or cloud servers, providing a cost-effective solution for organizations.

3. **Customization and Flexibility**: Google Analytics offers predefined reports and dashboards that can be customized to some extent, whereas Superset provides users with full flexibility to create custom visualizations, dashboards, and complex data analysis using SQL queries.

4. **Real-time Data Analysis**: Google Analytics provides real-time data tracking and analysis capabilities, allowing users to monitor website performance in real time, whereas Superset focuses more on historical data analysis and does not offer real-time data tracking as a primary function.

5. **User Interface and Learning Curve**: Google Analytics has a more user-friendly interface with a lower learning curve, catered towards marketers and business users, while Superset may require a higher level of technical expertise due to its complexity and the need for knowledge of SQL queries.

6. **Scope of Analysis**: Google Analytics is mainly focused on website and digital analytics metrics, such as traffic sources, page views, and user behavior, whereas Superset is a more versatile tool that can handle a wider range of data analysis tasks beyond just web analytics, such as financial analysis, forecasting, and trend analysis.

In Summary, Google Analytics is ideal for website analytics and digital marketing purposes, while Superset offers greater flexibility and customization for users who need more advanced data visualization and analysis capabilities across various data sources.

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Detailed Comparison

Google Analytics
Google Analytics
Superset
Superset

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Analysis Tools- Google Analytics is built on a powerful, easy to use, reporting platform, so you can decide what data you want to view and customize your reports, with just a few clicks.;Content Analytics- Content reports help you understand which parts of your website are performing well, which pages are most popular so you can create a better experience for your customers.;Social Analytics- The web is a social place and Google Analytics measures success of your social media programs. You can analyze how visitors interact with sharing features on your site (like the Google +1 button) and engage with your content across social platforms.;Mobile Analytics- Google Analytics helps you measure the impact of mobile on your business. Additionally, if you build mobile apps Google Analytics offers Software Development Kits for iOS and Android so you can measure how people use your app.;Conversion Analytics- Find out how many customers you're attracting, how much you're selling and how users are engaging with your site with Google Analytics' range of analysis features.;Advertising Analytics- Make the most of your advertising by learning how well your social, mobile, search and display ads are working. Link your website activity to your marketing campaigns to get the complete picture and improve your advertising performance.
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
Statistics
Stacks
128.5K
Stacks
420
Followers
50.7K
Followers
1.0K
Votes
5.1K
Votes
45
Pros & Cons
Pros
  • 1483
    Free
  • 927
    Easy setup
  • 891
    Data visualization
  • 698
    Real-time stats
  • 406
    Comprehensive feature set
Cons
  • 11
    Confusing UX/UI
  • 8
    Super complex
  • 6
    Very hard to build out funnels
  • 4
    Poor web performance metrics
  • 3
    Very easy to confuse the user of the analytics
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Shareable & editable dashboards
  • 6
    Wide SQL database support
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
Integrations
Mad Mimi
Mad Mimi
Hipmob
Hipmob
Visual Website Optimizer
Visual Website Optimizer
Squarespace
Squarespace
ClickTale
ClickTale
CloudFlare
CloudFlare
Segment
Segment
Optimizely
Optimizely
FreshDesk
FreshDesk
SnapEngage
SnapEngage
No integrations available

What are some alternatives to Google Analytics, Superset?

Mixpanel

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Piwik

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Clicky

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

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