What users are saying about
Top Rated
41 Ratings

Google Data Studio

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48 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101

Google Data Studio

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48 Ratings
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Score 8.1 out of 101

Add comparison

Likelihood to Recommend

Anaconda

Anaconda is the best solution when you need to make more basic algorithm training. However, when the client necessity if completely new or there're poor libraries, anaconda is too basic.When designing algorithms, I find ai-one to be very useful. Other tools that more suitable than Anaconda for more complex tasks are protege, biffblue and Nervana Neon
Mauricio Quiroga-Pascal Ortega profile photo

Google Data Studio

I really love Google Data Studio and highly recommend it, with the understanding that it is a limited, free dashboard program, and does not have the robust analysis capability of an enterprise-level dashboard platform like Tableau or Power BI. It is perfect for dashboarding Google Suite data -- from Sheets, Ads, DCM/DBM, Analytics, etc. -- and readily ingests data from those sources. If robust analysis on large datasets (>150,000) is a requirement, Data Studio is best deployed as a test-case or proof-of-concept before implementing a more comprehensive, powerful solution. It can ingest CSV and XLSX files, and community connectors/automation. This allows for data ingestion to come from platforms outside the Google Suite -- and while these connectors are generally reliable, they aren't maintained by Google and therefore can break, go out of date, etc.
Leah Jakaitis profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
Google Data Studio
Visualization
Anaconda
7.0
Google Data Studio
Interactive Data Analysis
Anaconda
8.0
Google Data Studio

Data Preparation

Anaconda
7.0
Google Data Studio
Interactive Data Cleaning and Enrichment
Anaconda
7.0
Google Data Studio
Data Transformations
Anaconda
8.0
Google Data Studio
Data Encryption
Anaconda
6.0
Google Data Studio
Built-in Processors
Anaconda
7.0
Google Data Studio

Platform Data Modeling

Anaconda
5.7
Google Data Studio
Automated Machine Learning
Anaconda
4.0
Google Data Studio
Single platform for multiple model development
Anaconda
7.0
Google Data Studio
Self-Service Model Delivery
Anaconda
6.0
Google Data Studio

Model Deployment

Anaconda
4.5
Google Data Studio
Flexible Model Publishing Options
Anaconda
5.0
Google Data Studio
Security, Governance, and Cost Controls
Anaconda
4.0
Google Data Studio

BI Standard Reporting

Anaconda
Google Data Studio
7.9
Pixel Perfect reports
Anaconda
Google Data Studio
7.2
Customizable dashboards
Anaconda
Google Data Studio
8.7
Report Formatting Templates
Anaconda
Google Data Studio
7.6

Ad-hoc Reporting

Anaconda
Google Data Studio
7.1
Drill-down analysis
Anaconda
Google Data Studio
6.3
Formatting capabilities
Anaconda
Google Data Studio
7.2
Integration with R or other statistical packages
Anaconda
Google Data Studio
5.7
Report sharing and collaboration
Anaconda
Google Data Studio
9.2

Report Output and Scheduling

Anaconda
Google Data Studio
8.0
Publish to Web
Anaconda
Google Data Studio
8.5
Publish to PDF
Anaconda
Google Data Studio
7.4
Report Versioning
Anaconda
Google Data Studio
7.3
Report Delivery Scheduling
Anaconda
Google Data Studio
7.0
Delivery to Remote Servers
Anaconda
Google Data Studio
9.5

Data Discovery and Visualization

Anaconda
Google Data Studio
7.1
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Google Data Studio
7.3
Location Analytics / Geographic Visualization
Anaconda
Google Data Studio
7.9
Predictive Analytics
Anaconda
Google Data Studio
6.0

Pros

  • Everything is in one place, so it's very convinient
  • It's easy to switch between multiple functionalities
  • Performance and Speed - Python and R run smoothly and efficiently.
No photo available
  • Quick visualization for real-time Google Analytics numbers.
  • Calculations between GA metrics.
  • Easy report distributions.
Francois Salvert profile photo

Cons

  • User Interface could be a little bit more clearer.
  • Error messaging can definitely be improved
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  • Should provide some templates/direction for those who don't want to (or can't) start from a clean slate
  • Additional integrations to provide a well-rounded story
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Usability

No score
No answers yet
No answers on this topic
Google Data Studio9.0
Based on 2 answers
Google Data Studio is a highly usable, approachable dashboard program to ingest and analyze/visualize data and information. It offers a number of templates to organize and present material in a logical fashion.
Leah Jakaitis profile photo

Alternatives Considered

SURA SREENIVASULU profile photo
Google Data Studio is much more customizable that DashThis. DashThis is very "drag and drop" into select fields, with minimal customization. However, DashThis provides a much more well-rounded analytics platform by also integrating other channels like email, social, etc. Depending on the needs of the clients is how I would make the decision between DashThis and Google Data Studio.
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Return on Investment

  • I am using the Opensource
SURA SREENIVASULU profile photo
  • Ability to create clean reports for internal use
  • Ability to create readable reports for clients
  • Cut down on time and materials to provide for internal staff and clients
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Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Google Data Studio

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details