Google Datastudio vs QlikView

Overview

QlikView

Stacks67

Followers61

Votes0

Google Datastudio

Stacks200

Followers170

Votes16

Google Datastudio vs QlikView: What are the differences?

Pricing Model: Google Data Studio is a free tool that allows users to connect to a variety of data sources without any additional costs, making it a cost-effective solution for small businesses and individuals. On the other hand, QlikView is a paid tool that offers more advanced features and capabilities but comes with a significant licensing fee.
Ease of Use: Google Data Studio is known for its user-friendly interface and drag-and-drop functionality, making it easier for users to create visually appealing dashboards without the need for extensive training. QlikView, on the other hand, has a steeper learning curve due to its more complex scripting language and data modeling capabilities, requiring users to have a good understanding of data analytics and visualization techniques.
Data Connectivity: Google Data Studio offers seamless integration with various Google products such as Google Analytics, Google Sheets, and BigQuery, making it a preferred choice for users who heavily rely on Google services. In contrast, QlikView provides robust connectivity options to a wide range of data sources, including databases, spreadsheets, and web services, making it well-suited for organizations with diverse data sources and systems.
Collaboration Features: Google Data Studio allows multiple users to collaborate on the same report in real-time, facilitating team collaboration and sharing of insights. QlikView, on the other hand, lacks built-in collaboration features and requires users to manually share and distribute reports among team members, which can be cumbersome for large teams working on the same project.
Customization Options: Google Data Studio offers a wide range of customization options, including custom themes, color palettes, and layouts, allowing users to create unique and branded dashboards. QlikView, on the other hand, provides extensive customization capabilities through its scripting language, enabling users to create highly tailored and complex visualizations that meet specific business requirements.
Scalability: QlikView is designed for handling large and complex datasets, making it a suitable choice for enterprise-level organizations with big data needs. Google Data Studio, while capable of handling a significant amount of data, may face limitations in terms of scalability and performance when dealing with massive datasets and complex data transformations.

In Summary, Google Data Studio and QlikView differ in terms of pricing, ease of use, data connectivity, collaboration features, customization options, and scalability, catering to different user needs and preferences in the realm of data visualization and dashboard creation.

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Detailed Comparison

QlikView	Google Datastudio
It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making.	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.
Advanced Data Prep; Dashboarding	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 67	Stacks 200
Followers 61	Followers 170
Votes 0	Votes 16
Pros & Cons
No community feedback yet	Pros 6 Free 4 Underrated 2 Easy to share 1 Google Analytics Integration 1 Shareable & editable dashboards Cons 1 Works well with google (not aws or azure)
Integrations
MySQL Microsoft SQL Server Oracle	MySQL Microsoft SQL Server Microsoft Excel

What are some alternatives to QlikView, Google Datastudio?

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.

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.

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.

AskNed

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

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.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

Related Comparisons

Google Datastudio vs QlikView: What are the differences?

Pricing Model: Google Data Studio is a free tool that allows users to connect to a variety of data sources without any additional costs, making it a cost-effective solution for small businesses and individuals. On the other hand, QlikView is a paid tool that offers more advanced features and capabilities but comes with a significant licensing fee.
Ease of Use: Google Data Studio is known for its user-friendly interface and drag-and-drop functionality, making it easier for users to create visually appealing dashboards without the need for extensive training. QlikView, on the other hand, has a steeper learning curve due to its more complex scripting language and data modeling capabilities, requiring users to have a good understanding of data analytics and visualization techniques.
Data Connectivity: Google Data Studio offers seamless integration with various Google products such as Google Analytics, Google Sheets, and BigQuery, making it a preferred choice for users who heavily rely on Google services. In contrast, QlikView provides robust connectivity options to a wide range of data sources, including databases, spreadsheets, and web services, making it well-suited for organizations with diverse data sources and systems.
Collaboration Features: Google Data Studio allows multiple users to collaborate on the same report in real-time, facilitating team collaboration and sharing of insights. QlikView, on the other hand, lacks built-in collaboration features and requires users to manually share and distribute reports among team members, which can be cumbersome for large teams working on the same project.
Customization Options: Google Data Studio offers a wide range of customization options, including custom themes, color palettes, and layouts, allowing users to create unique and branded dashboards. QlikView, on the other hand, provides extensive customization capabilities through its scripting language, enabling users to create highly tailored and complex visualizations that meet specific business requirements.
Scalability: QlikView is designed for handling large and complex datasets, making it a suitable choice for enterprise-level organizations with big data needs. Google Data Studio, while capable of handling a significant amount of data, may face limitations in terms of scalability and performance when dealing with massive datasets and complex data transformations.

Google Datastudio vs QlikView

Overview