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  5. Denodo vs Google Datastudio

Denodo vs Google Datastudio

OverviewComparisonAlternatives

Overview

Denodo
Denodo
Stacks40
Followers120
Votes0
GitHub Stars0
Forks0
Google Datastudio
Google Datastudio
Stacks200
Followers170
Votes16

Denodo vs Google Datastudio: What are the differences?

<Denodo vs Google Datastudio>

1. **Integration Capabilities**: Denodo provides seamless integration with a wide range of data sources, including relational databases, cloud-based storage, and big data platforms. On the other hand, Google Datastudio primarily focuses on visualizing and reporting data from Google products like Google Analytics and Google Sheets, with limited support for other external data sources.
2. **Data Virtualization vs Data Visualization**: Denodo offers data virtualization capabilities, allowing users to access and query data in real-time without the need for physical data movement or storage. In contrast, Google Datastudio is a data visualization tool that helps users create interactive dashboards and reports from existing data sources but lacks data virtualization features.
3. **Advanced Querying and Analysis**: Denodo provides advanced querying and analysis capabilities through its virtual data model, which enables users to perform complex data transformations and calculations on the fly. Google Datastudio, on the other hand, offers basic data filtering, grouping, and visualization options but lacks the robust querying and analytical functionalities of Denodo.
4. **Deployment Options**: Denodo offers flexible deployment options, allowing users to deploy on-premises, in the cloud, or in hybrid environments, providing scalability and performance optimizations. In contrast, Google Datastudio is a cloud-based tool that limits deployment options to Google's infrastructure, with limited customization and scalability capabilities.
5. **Cost Model**: Denodo follows a traditional licensing model with upfront costs based on the number of users and data sources, along with additional fees for advanced features and support. Google Datastudio, on the other hand, follows a freemium model with basic features available for free, while advanced features and integrations require a paid subscription to Google Cloud Platform.
6. **Ease of Use**: Denodo is known for its steep learning curve and requires technical expertise to set up and manage the data virtualization environment. In contrast, Google Datastudio offers a user-friendly interface with drag-and-drop functionality, making it easier for non-technical users to create visually appealing reports and dashboards.

In Summary, Denodo and Google Datastudio differ in terms of integration capabilities, data virtualization vs data visualization focus, querying and analysis features, deployment options, cost model, and ease of use.

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Detailed Comparison

Denodo
Denodo
Google Datastudio
Google Datastudio

It is the leader in data virtualization providing data access, data governance and data delivery capabilities across the broadest range of enterprise, cloud, big data, and unstructured data sources without moving the data from their original repositories.

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.

Data virtualization; Data query; Data views
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
GitHub Stars
0
GitHub Stars
-
GitHub Forks
0
GitHub Forks
-
Stacks
40
Stacks
200
Followers
120
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
DataRobot
DataRobot
AtScale
AtScale
Vertica
Vertica
Trifacta
Trifacta
Dremio
Dremio
Apache Kylin
Apache Kylin
SAP HANA
SAP HANA
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Microsoft Excel
Microsoft Excel

What are some alternatives to Denodo, 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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

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