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  5. Data Studio vs Zoho Analytics

Data Studio vs Zoho Analytics

OverviewComparisonAlternatives

Overview

Data Studio
Data Studio
Stacks365
Followers304
Votes0
Zoho Analytics
Zoho Analytics
Stacks17
Followers13
Votes0

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Detailed Comparison

Data Studio
Data Studio
Zoho Analytics
Zoho Analytics

Unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. It’s easy and free.

It is a self-service BI and data analytics software that lets you analyze your data, create stunning data visualizations, and discover hidden insights in minutes.

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
Connect to any Data Source; Variety of visualizations; Spreadsheet-like interface; Fine-grained access control; White labeling / Embedded BI
Statistics
Stacks
365
Stacks
17
Followers
304
Followers
13
Votes
0
Votes
0
Integrations
Google Analytics
Google Analytics
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Search Console
Google Search Console
Google Ads
Google Ads
AdRoll
AdRoll
Google Sheets
Google Sheets
Google Campaign Manager
Google Campaign Manager
Sybase
Sybase
Hadoop
Hadoop
Amazon RDS
Amazon RDS
Google Drive
Google Drive
Dropbox
Dropbox
SQLite
SQLite
Xero
Xero
Mailchimp
Mailchimp
QuickBooks
QuickBooks
MongoDB
MongoDB

What are some alternatives to Data Studio, Zoho Analytics?

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.

Google Datastudio

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

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.

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