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  5. Google Datastudio vs Qlik Sense

Google Datastudio vs Qlik Sense

OverviewComparisonAlternatives

Overview

Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0
Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16

Google Datastudio vs Qlik Sense: What are the differences?

Introduction

Here we will discuss the key differences between Google Datastudio and Qlik Sense.

  1. Data Visualization Capabilities: Google Datastudio provides a wide range of pre-built data visualization options with drag-and-drop functionality, making it easy to create visually appealing dashboards and reports. Qlik Sense, on the other hand, offers more advanced data visualization capabilities with the ability to interactively explore data using its associative data model. It allows users to create dynamic visualizations and drill down into data for deeper insights.

  2. Data Connectivity: Google Datastudio primarily focuses on connecting to Google-owned data sources, such as Google Analytics, Google Ads, and Google Sheets. It also supports connections to a limited number of third-party data sources. Qlik Sense, on the other hand, offers a wide range of data connectors including those for databases, spreadsheets, cloud-based data sources, and popular APIs. It provides more flexibility in accessing and integrating data from various sources.

  3. Collaboration and Sharing: Google Datastudio is part of the Google Workspace suite of tools, which makes it easy to collaborate and share dashboards with other Google users. It allows real-time collaboration, where multiple users can work on the same dashboard simultaneously. Qlik Sense also offers collaboration features but requires separate licenses for each user. It provides more advanced sharing and security options for controlling access to dashboards and reports.

  4. Data Preparation and Modeling: Google Datastudio is primarily focused on data visualization and lacks advanced data preparation and modeling capabilities. While it provides basic data transformation features, Qlik Sense offers more powerful data preparation capabilities with its built-in data profiling, cleansing, and transformation tools. It also supports data modeling to create associations between different data tables for advanced analysis.

  5. Customization and Extensions: Google Datastudio allows limited customization options by providing predefined themes and style options. It also supports the use of custom formulas and aggregation functions. Qlik Sense, on the other hand, offers extensive customization options with the ability to create custom visualizations and extensions using JavaScript and HTML. It provides more flexibility for tailoring the appearance and functionality of dashboards according to specific requirements.

  6. Collaborative Analytics: Qlik Sense is designed around the concept of collaborative analytics, allowing users to explore and analyze data together in a shared environment. It provides features like data storytelling, collaborative sessions, and data exploration using its associative engine. Google Datastudio focuses more on creating static dashboards and reports, which can be shared with others but lacks the interactive and collaborative features provided by Qlik Sense.

In summary, Google Datastudio and Qlik Sense differ in terms of their data visualization capabilities, data connectivity options, collaboration and sharing features, data preparation and modeling capabilities, customization and extensions, and collaborative analytics functionalities. While Google Datastudio offers a user-friendly interface and easy integration with Google-owned data sources, Qlik Sense provides more advanced analytics capabilities, flexibility in data connectivity, and powerful data preparation and modeling functionalities.

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Detailed Comparison

Qlik Sense
Qlik Sense
Google Datastudio
Google Datastudio

It helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction.

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.

-
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
122
Stacks
200
Followers
100
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
No integrations available
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft Excel
Microsoft Excel

What are some alternatives to Qlik Sense, Google Datastudio?

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.

Superset

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

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.

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.

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.

Redash

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

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

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

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