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Google Data Studio VS ArangoDB

Compare Google Data Studio VS ArangoDB and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google Data Studio logo Google Data Studio

Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • Google Data Studio Landing page
    Landing page //
    2023-05-09
  • ArangoDB Landing page
    Landing page //
    2023-01-20

Google Data Studio features and specs

  • Free to Use
    Google Data Studio is a free tool, making it accessible for individuals and businesses of all sizes.
  • Integration with Google Services
    Seamlessly integrates with other Google services like Google Analytics, Google Ads, and BigQuery, providing a unified data experience.
  • Customizable Reports
    Offers a high level of customization for dashboards and reports, allowing users to tailor visualizations to their specific needs.
  • User-Friendly Interface
    The intuitive drag-and-drop interface makes it easy for beginners to create and manage reports without needing advanced technical skills.
  • Real-Time Collaboration
    Supports real-time collaboration, allowing multiple users to work on the same report simultaneously, similar to other Google Workspace products.
  • Wide Range of Connectors
    Supports multiple data connectors, enabling integration with a variety of third-party applications and databases beyond Google services.

Possible disadvantages of Google Data Studio

  • Limited Advanced Features
    Lacks some advanced analytics and BI features found in more specialized tools, which may be a limitation for power users.
  • Performance Issues
    Reports with a large number of visualizations or complex queries can experience slow performance and increased load times.
  • Learning Curve
    While user-friendly, there is still a learning curve involved, especially for users who are new to data visualization tools.
  • Data Handling Limitations
    Handling very large datasets can be cumbersome, and there might be limitations in data extraction and processing capabilities.
  • Limited Export Options
    Exporting reports is somewhat limited, with fewer formats available compared to other BI tools, which might be a drawback for some users.
  • Dependence on Internet Connection
    Requires a stable internet connection to access and modify reports, which can be a hindrance in areas with poor connectivity.

ArangoDB features and specs

  • Graph DB

Analysis of Google Data Studio

Overall verdict

  • Google Data Studio is generally considered a good option for those who need to create custom data visualizations and reports. Its ease of use, extensive integration capabilities, and cost-effectiveness make it a solid choice for both beginners and experienced data analysts seeking a versatile reporting tool.

Why this product is good

  • Google Data Studio is a powerful tool for creating interactive and visually appealing reports and dashboards. It integrates seamlessly with other Google services like Google Analytics, Google Ads, and Google Sheets, making it easy to pull real-time data without additional connectors. Its user-friendly interface allows users to create dynamic reports without needing extensive technical expertise. Furthermore, it's a free tool, which makes it accessible for individuals and small businesses looking to visualize data without incurring additional costs.

Recommended for

    Google Data Studio is well-suited for digital marketers, small business owners, data analysts, and anyone involved in data-driven decision-making who needs to create customizable, shareable, and visually appealing reports and dashboards. It's particularly beneficial for those already using other Google services, as it allows for seamless data integration and manipulation within the Google ecosystem.

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

Google Data Studio videos

+ Add

5 Reasons Why Google Data Studio is Amazing

More videos:

  • Review - Why I switched to Google Data Studio
  • Review - I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

ArangoDB videos

+ Add

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to Google Data Studio and ArangoDB)

Google Data Studio

ArangoDB

Data Dashboard
100 100%
Data Dashboard
0% 0
Databases
0 0%
Databases
100% 100
Business Intelligence
100 100%
Business Intelligence
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Google Data Studio and ArangoDB. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Data Studio and ArangoDB

Google Data Studio Reviews

25 Best Statistical Analysis Software
With its intuitive interface and extensive customization options, Google Data Studio makes it easy for users to create captivating visualizations of their data, regardless of their technical expertise.
Source: www.scijournal.org
11 Metabase Alternatives
Google Data Studio is a platform that acts as a Google drive and saves hundreds of files at a time and makes reports out of them for business needs. Data studio offers to add a bulk of data files at a time and this application will make a report that will save a lot of their time and helps them make better decisions for their businesses and other useful tasks. Representers...
Source: www.justalternativeto.com
Best Google Data Studio Alternatives (Self-Service BI)
Google Data Studio is a reporting tool that nicely integrates within GA360 ecosystem (alongside with Google BigQuery and Google Sheet) and evolving on a monthly basis with an intuitive interface to explore and build insights. And it's completely free.
Source: www.holistics.io
5 Metabase Alternatives You Don't Need a PhD to Use
Google Data Studio is a free tool and amongst the more visualization-focused alternatives to Metabase. Google Data Studio helps convert data into shareable reports for better metrics, reporting, and communication.
Source: www.toucantoco.com
8 Databox Alternatives: Which One Is The Best?
Basic visualization and reporting are easy with Google Data Studio. However, it does not support the flexibility and customizability of visualization. So lack of visualization can be considered as a disadvantage of Google Data Studio.
Source: hockeystack.com

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).
Source: www.arangodb.com

Social recommendations and mentions

Based on our record, ArangoDB should be more popular than Google Data Studio. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Data Studio mentions (2)

  • 5 tools for Core Web Vitals to measure and improve website UX
    A tool to visualize data, for example, based on reports like CrUX, is Data Studio. It allows you to create dashboards based on source files and thus capture trends in user behavior. - Source: dev.to / about 3 years ago
  • GCP solution for ML model management (ML Ops)?
    I'm guessing you're looking for a database product or something like Data Studio. Whats your use case? Source: over 3 years ago

ArangoDB mentions (6)

View more

What are some alternatives?

When comparing Google Data Studio and ArangoDB, you can also consider the following products

Databox - Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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