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  5. Explore vs Google Datastudio

Explore vs Google Datastudio

OverviewComparisonAlternatives

Overview

Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16
Explore
Explore
Stacks15
Followers45
Votes0

Explore vs Google Datastudio: What are the differences?

# Key Differences between Explore and Google Datastudio

<Write Introduction here>

1. **Data Integration**: Explore allows users to connect to various data sources, providing real-time data analysis capabilities. On the other hand, Google Datastudio enables users to create visually appealing reports and dashboards using data from sources like Google Analytics, Google Sheets, and BigQuery.
2. **User Interface**: Explore offers a user-friendly interface with pre-built templates and drag-and-drop functionalities to conduct analysis efficiently. In contrast, Google Datastudio provides a more customizable interface, allowing users to design comprehensive reports tailored to their specific needs.
3. **Collaboration Features**: Explore lacks robust collaboration features compared to Google Datastudio, which offers easy sharing options, commenting capabilities, and the ability to work simultaneously on reports with team members in real-time.
4. **Data Visualization**: Explore focuses more on data analysis and insights generation, providing features like automatic chart suggestions and smart analytics. Google Datastudio, however, emphasizes data visualization, offering a wide range of visualization options and customization tools to create visually engaging reports.
5. **Cost Structure**: Explore is a part of the Google Workspace suite, making it more accessible to users who already have a subscription. Conversely, Google Datastudio has a free version available with limitations on data sources and features, while a paid version offers more advanced functionalities.
6. **Integration with Google Products**: Explore seamlessly integrates with other Google products like Google Sheets and Google Drive, making it easier to access and analyze data stored in these platforms. Google Datastudio also integrates well with Google products but extends its compatibility to third-party data sources for more extensive data visualization and analysis capabilities.

In Summary, Explore and Google Datastudio offer distinctive features catering to different user needs, with Explore focusing on intuitive data analysis and insights generation while Google Datastudio emphasizes data visualization and custom reporting. 

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Detailed Comparison

Google Datastudio
Google Datastudio
Explore
Explore

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.

It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

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
Free online chart maker; Visual data exploration tool for all your spreadsheet data; Runs locally in your browser
Statistics
Stacks
200
Stacks
15
Followers
170
Followers
45
Votes
16
Votes
0
Pros & Cons
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)
No community feedback yet
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft Excel
Microsoft Excel
Google Sheets
Google Sheets
Microsoft Excel
Microsoft Excel

What are some alternatives to Google Datastudio, Explore?

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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