Data Studio vs Google Analytics

Overview

Google Analytics

Stacks129.1K

Followers50.7K

Votes5.1K

Data Studio

Stacks362

Followers304

Votes0

Data Studio vs Google Analytics: What are the differences?

Data Studio and Google Analytics are both powerful tools for analyzing and visualizing data, but they have several key differences. Here are six specific differences between the two platforms.

Data Sources and Integration: While both Data Studio and Google Analytics can connect to various data sources, Data Studio offers more flexibility in terms of integration options. With Data Studio, you can easily pull data from multiple sources, including Google Analytics, Google Ads, Google Sheets, databases, and many others. Google Analytics, on the other hand, is primarily focused on analyzing website and app data.
Visualization Capabilities: Data Studio is primarily designed for data visualization, offering a wide range of charts, graphs, and other visual elements to display data in a visually appealing and interactive way. Google Analytics, on the other hand, provides pre-defined reports and dashboards but lacks the customizable visualization options that Data Studio offers.
Data Manipulation and Calculations: While Google Analytics provides some basic data manipulation and calculation capabilities, Data Studio offers more advanced options. With Data Studio, users can create calculated fields, apply transformations to the data, and perform complex calculations using formulas and expressions.
Collaboration and Sharing: Data Studio is particularly designed with collaboration in mind, allowing multiple users to collaborate on the same report or dashboard. Users can share interactive reports and dashboards with others, who can then explore and interact with the data. Google Analytics, on the other hand, primarily focuses on individual analysis and reporting, although reports can be shared in a limited manner.
Data Governance and Security: Data Studio provides more control and governance over data access and permissions compared to Google Analytics. With Data Studio, you can define user roles and access levels, ensuring that only authorized users can view or edit specific reports or data sources. Google Analytics, while providing some basic access controls, is primarily designed for individual analysis and lacks the comprehensive data governance features of Data Studio.
Customization and Extensibility: Data Studio allows for greater customization and extensibility, enabling users to create their own data connectors, build custom visualizations, and automate data workflows using Google Apps Script. Google Analytics, on the other hand, has limited customization options, and users are primarily reliant on the features and capabilities provided by the platform.

In summary, Data Studio offers more flexibility in terms of data integration, provides advanced visualization and data manipulation capabilities, enables collaboration and sharing, offers better data governance and security features, and allows for greater customization and extensibility compared to Google Analytics.

Detailed Comparison

Google Analytics	Data Studio
Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.	Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.
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.	Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of data; Turn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting tools; Share your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page
Statistics
Stacks 129.1K	Stacks 362
Followers 50.7K	Followers 304
Votes 5.1K	Votes 0
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	No community feedback yet
Integrations
Mad Mimi Hipmob Visual Website Optimizer Squarespace ClickTale CloudFlare Segment Optimizely FreshDesk SnapEngage	Google Cloud Storage Google BigQuery Google Search Console Google Ads AdRoll Google Sheets Google Campaign Manager

What are some alternatives to Google Analytics, Data Studio?

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

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

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.

Superset

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.

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

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 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

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

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

Related Comparisons

Data Studio vs Google Analytics: What are the differences?

Data Studio and Google Analytics are both powerful tools for analyzing and visualizing data, but they have several key differences. Here are six specific differences between the two platforms.

Data Sources and Integration: While both Data Studio and Google Analytics can connect to various data sources, Data Studio offers more flexibility in terms of integration options. With Data Studio, you can easily pull data from multiple sources, including Google Analytics, Google Ads, Google Sheets, databases, and many others. Google Analytics, on the other hand, is primarily focused on analyzing website and app data.
Visualization Capabilities: Data Studio is primarily designed for data visualization, offering a wide range of charts, graphs, and other visual elements to display data in a visually appealing and interactive way. Google Analytics, on the other hand, provides pre-defined reports and dashboards but lacks the customizable visualization options that Data Studio offers.
Data Manipulation and Calculations: While Google Analytics provides some basic data manipulation and calculation capabilities, Data Studio offers more advanced options. With Data Studio, users can create calculated fields, apply transformations to the data, and perform complex calculations using formulas and expressions.
Collaboration and Sharing: Data Studio is particularly designed with collaboration in mind, allowing multiple users to collaborate on the same report or dashboard. Users can share interactive reports and dashboards with others, who can then explore and interact with the data. Google Analytics, on the other hand, primarily focuses on individual analysis and reporting, although reports can be shared in a limited manner.
Data Governance and Security: Data Studio provides more control and governance over data access and permissions compared to Google Analytics. With Data Studio, you can define user roles and access levels, ensuring that only authorized users can view or edit specific reports or data sources. Google Analytics, while providing some basic access controls, is primarily designed for individual analysis and lacks the comprehensive data governance features of Data Studio.
Customization and Extensibility: Data Studio allows for greater customization and extensibility, enabling users to create their own data connectors, build custom visualizations, and automate data workflows using Google Apps Script. Google Analytics, on the other hand, has limited customization options, and users are primarily reliant on the features and capabilities provided by the platform.

Data Studio vs Google Analytics

Overview

Data Studio vs Google Analytics: What are the differences?

Detailed Comparison