What users are saying about

Anaconda

Top Rated
33 Ratings

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36 Ratings

Anaconda

Top Rated
33 Ratings
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Score 8.8 out of 101

Google Data Studio<a href='https://www.trustradius.com/static/about-trustradius-scoring#question3' target='_blank' rel='nofollow'>Customer Verified: Read more.</a>

36 Ratings
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Score 8.2 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is highly recommended for all types of programmers who use Python.
For beginners and advanced users, it is perfect because it helps maintain the order of programs and projects, it is extremely easy to get and download packages, and the way in which the environment handles libraries is friendly.
For professional users, all the above applies, and also allows large developments and projects do not lose their functionality or modularization, because the program is responsible for managing all this and not the user.
Alejandro Daniel Copati profile photo

Google Data Studio

I think Google Data Studio is great for teams that are reporting on complex websites and/or have multiple traffic sources and campaigns, and want to pull key data into one place. It's especially useful if you don't have a dedicated analytics staff, as it does cut down on reporting time. You do need to have some analytics knowledge to use the tool, however; otherwise what's being displayed could be misleading or confusing. The takeaways are just as important as the data itself
Ben Rubenstein profile photo

Feature Rating Comparison

BI Standard Reporting

Anaconda
Google Data Studio
8.4
Pixel Perfect reports
Anaconda
Google Data Studio
7.7
Customizable dashboards
Anaconda
Google Data Studio
9.1
Report Formatting Templates
Anaconda
Google Data Studio
8.3

Ad-hoc Reporting

Anaconda
Google Data Studio
7.2
Drill-down analysis
Anaconda
Google Data Studio
6.6
Formatting capabilities
Anaconda
Google Data Studio
8.0
Integration with R or other statistical packages
Anaconda
Google Data Studio
5.0
Report sharing and collaboration
Anaconda
Google Data Studio
9.4

Report Output and Scheduling

Anaconda
Google Data Studio
7.4
Publish to Web
Anaconda
Google Data Studio
8.1
Publish to PDF
Anaconda
Google Data Studio
7.0
Report Versioning
Anaconda
Google Data Studio
6.8
Report Delivery Scheduling
Anaconda
Google Data Studio
6.2
Delivery to Remote Servers
Anaconda
Google Data Studio
9.0

Data Discovery and Visualization

Anaconda
Google Data Studio
7.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Google Data Studio
7.9
Location Analytics / Geographic Visualization
Anaconda
Google Data Studio
8.1
Predictive Analytics
Anaconda
Google Data Studio
6.0

Pros

  • The most useful thing is the Jupyter notebook that Anaconda has inside the platform. You can use your browser to manage them and launch everything from your file system.
  • Anaconda exists for Python 2 and Python 3. So, you can use it despite which Python you use.
  • It's very easy to install, and it's multiplatform (Windows, OS X, Linux).
  • Friendly manage of Python packages.
Alejandro Daniel Copati profile photo
  • Connects seamlessly with Google products (Analytics and Ads) and allows you to quickly update reports with a click (or on a scheduled basis, depending on what's being pulled.
  • Templates that provide a good starting point for common reports (like Google Ads effectiveness)
  • Offers the ability to connect to a wide range of other products via connectors/Google Sheets, to bring all sources under one dashboard view
  • Flexibility to blend data from sources together, create custom metrics, and customize reports in ways that you can't do easily within Google Analytics
Ben Rubenstein profile photo

Cons

  • Some Python packages are not included to Anaconda, so you have to install them using different ways, like using pip, for example.
  • Sometimes you get stuck because Anaconda still have some little bugs.
  • Anaconda is a little slow when it's initializing.
Alejandro Daniel Copati profile photo
  • Once data files start getting large, it can be finicky. We currently don't have a database solution set up to use, and have been trying to use Google Sheets as our data sources, but once the Google Sheet files get large, it can affect the quality of the Google Data Studio report
  • This is still a relatively new product, so there are several little bugs you will find while using it. You just have to be patient and wait for the product team to fix the issues.
  • Some of the visualizations are limited. Once you get used to the full power of a tool like Excel, you run into occasions where GDS is missing a specific visualization feature you are used to seeing in Excel.
Tegan Jenner profile photo

Usability

No score
No answers yet
No answers on this topic
Google Data Studio9.0
Based on 1 answer
Google Data Studio has a clean interface that follows a lot of UX best practices. It is fairly easy to pick up the first time you use it, and there is a lot of documentation on line to help troubleshoot, if needed
Meredith Walter profile photo

Alternatives Considered

Anaconda is the best Python environment because you have all the things you need all in one places, at the reach of your hand. You can download and manage libraries as you wish and is very easy to create new projects and API's for all your stuff.It's Multiplatform so you don't have to take care to use your stuff in another computer. I think it is the best characteristic.
Alejandro Daniel Copati profile photo
Google Data Studio is much more intuitive to pick up and start using immediately. There was very little need for formal training or onboarding to start using the tool quickly. Power BI was much more difficult to start using.The formatting in GDS is also very customizable, and clients appreciate reports that look like they are created specifically for them.
Tegan Jenner profile photo

Return on Investment

  • I am using the Opensource
SURA SREENIVASULU profile photo
  • Rather than using our more advanced BI tool(s) for certain things, when we're in a hurry and have already done the work in Google Sheets, it makes sense and has been very beneficial to be able to tie it into Google Data Studio and quickly get what we need. Time saved is money saved.
  • Some of our other BI tools, using the integrations that we have, make it difficult to share dashboards and other visualizations with the permissions we need unless we create a license for a client. This does not make financial or practical sense in many cases. Google Data Studio lets us get things to clients without a headache.
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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