Datapane vs Google Datastudio

Overview

Google Datastudio

Stacks200

Followers170

Votes16

Datapane

Stacks0

Followers1

Votes0

GitHub Stars1.4K

Forks114

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Detailed Comparison

Google Datastudio	Datapane
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 an open-source toolkit for creating web apps, dashboards, and reports for data analytics in 100% Python. It makes it simple to build self-service tools for non-technical users which can go from MVP to production.
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	Open-source toolkit for building data products; 5 lines of Python. No JS, CSS, or HTML in sight
Statistics
GitHub Stars -	GitHub Stars 1.4K
GitHub Forks -	GitHub Forks 114
Stacks 200	Stacks 0
Followers 170	Followers 1
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 Microsoft SQL Server Microsoft Excel	Jupyter Linux Python Windows macOS

What are some alternatives to Google Datastudio, Datapane?

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.