Compare Anaconda vs. Google Data Studio

Cancel
You must select at least 2 products to compare!
Anaconda Logo
5,228 views|4,248 comparisons
Google Data Studio Logo
8,172 views|7,378 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2021.
523,975 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"It helped us find find the optimal area for where our warehouse should be located.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most advantageous feature is the logic building.""The solution is stable.""The notebook feature is an improvement over RStudio.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.""The virtual environment is very good."

More Anaconda Pros »

"This has improved our organization by allowing people to see their data and develop visualizations themselves."

More Google Data Studio Pros »

Cons
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The solution would benefit from offering more automation.""One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."

More Anaconda Cons »

"There is a significant degree of sophistication required to compete with Tableau or Cognos."

More Google Data Studio Cons »

Pricing and Cost Advice
"The licensing costs for Anaconda are reasonable.""The product is open-source and free to use."

More Anaconda Pricing and Cost Advice »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
523,975 professionals have used our research since 2012.
Questions from the Community
Top Answer: With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager… more »
Top Answer: The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of… more »
Top Answer: In Anaconda, we get everything: RStudio, Spyder, and Jupyter. R Studio is for R, and Spyder and Jupyter are for Python. Using these, we will be doing data wrangling and data modeling for a developing… more »
Ask a question

Earn 20 points

Ranking
6th
Views
5,228
Comparisons
4,248
Reviews
11
Average Words per Review
470
Rating
7.8
11th
out of 49 in Reporting Tools
Views
8,172
Comparisons
7,378
Reviews
1
Average Words per Review
102
Rating
8.0
Popular Comparisons
Also Known As
Data Studio
Learn More
Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

Offer
Learn more about Anaconda
Learn more about Google Data Studio
Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Genesys, Shueisha
Top Industries
REVIEWERS
Financial Services Firm25%
Manufacturing Company25%
Non Tech Company13%
Pharma/Biotech Company13%
VISITORS READING REVIEWS
Computer Software Company21%
Comms Service Provider18%
Financial Services Firm12%
Government7%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company21%
Media Company7%
Financial Services Firm7%
Company Size
REVIEWERS
Small Business38%
Large Enterprise63%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2021.
523,975 professionals have used our research since 2012.

Anaconda is ranked 6th in Data Science Platforms with 12 reviews while Google Data Studio is ranked 11th in Reporting Tools with 1 review. Anaconda is rated 7.8, while Google Data Studio is rated 8.0. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of Google Data Studio writes "Easy to use and offers a plethora of query sources". Anaconda is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Microsoft BI and Tableau, whereas Google Data Studio is most compared with Amazon QuickSight, Microsoft BI, Qlik Sense, Looker and Mode Analytics.

See our list of .

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.