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  5. GoodData vs Google Datastudio

GoodData vs Google Datastudio

OverviewComparisonAlternatives

Overview

GoodData
GoodData
Stacks28
Followers44
Votes0
Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16

GoodData vs Google Datastudio: What are the differences?

  1. Pricing Model: GoodData typically uses a subscription-based pricing model, where users pay a monthly or annual fee. In contrast, Google Data Studio is free to use for anyone with a Google account, making it a more cost-effective choice for businesses on a budget.

  2. Data Sources: GoodData offers limited data connectors compared to Google Data Studio, which has a wide range of data sources available, including Google products like Google Analytics and Google Sheets, as well as third-party integrations with tools such as Salesforce and Facebook Ads. This makes Google Data Studio more versatile in terms of data integration.

  3. User Interface and Visualization: While GoodData provides powerful analytics and visualization capabilities, Google Data Studio's intuitive drag-and-drop interface makes creating interactive reports and dashboards easier for non-technical users. Additionally, Google Data Studio offers a variety of visualization options, including charts, graphs, and maps.

  4. Collaboration Features: Google Data Studio allows real-time collaboration on reports and dashboards, enabling team members to work together seamlessly. GoodData, on the other hand, offers collaborative features but may not be as seamless or user-friendly as Google Data Studio's collaboration tools.

  5. Customization Options: GoodData provides more advanced customization options, allowing users to create highly tailored reports and dashboards. Google Data Studio, while customizable, may not offer the same level of flexibility in terms of advanced customization features.

  6. Support and Documentation: GoodData offers dedicated customer support and detailed documentation to assist users with any issues or queries they may have. Google Data Studio also has resources available, such as community forums and documentation, but may not provide the same level of personalized support as GoodData.

In Summary, the key differences between GoodData and Google Data Studio lie in their pricing models, data sources, user interfaces, collaboration features, customization options, and support offerings.

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Detailed Comparison

GoodData
GoodData
Google Datastudio
Google Datastudio

Get a closer look at all your business data at the same time so you can gain actionable insight into sales, marketing, customer engagement and more.

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.

Track all of your important business data in one place at the same time. Graphs and charts analyze changes in revenue, performance, website traffic, customer activity and more, and match these against your business goals.;Automatically segment your audiences, products, customer feedback and other important categories related to your business.;Set indicators to monitor the status of your business goals throughout the quarter. Goal indicators alert you when you’re on target, off pace and when something needs more attention to keep you on track, minimizing potential risks and surprises.;Easily understand correlations between key business metrics: Does more effort and cost drive higher value deals? Which marketing lead sources have the highest ROI and conversion?;Measure activity at every stage of the sales funnel to identify which actions were taken, when they were taken and how many people took those actions. Compare these changes against previous weeks and set goals to evaluate the effectiveness of your campaign over a specific period of time.;Display multiple sets of related data for easy comparison. Using this information, you can identify differentiators and opportunities, and eliminate variables in your decision-making process.
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
28
Stacks
200
Followers
44
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 GoodData, 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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