What users are saying about
Top Rated
81 Ratings
Top Rated
123 Ratings
Top Rated
81 Ratings
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Score 9 out of 100
Top Rated
123 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen | TrustRadius Reviewer

Google Data Studio

Pros:-Cost-Easy to use-Self-service-Flexible visualizations out of the box-Data sources, plug & play-Easy to share (internal and externally)-Easy to export and import data-Easy to clone, edit, manage dashboardsCons:-Can be slow / not reliable-Date ranges and sorting defaults can sometimes get messy-Data joins/mergers can be challenging-Limited to joining 5 different data sources -Some quirky limitations on UI, labels-Getting help / support can be a challenge from Google, generally on your own
Kevin McGuire | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Anaconda
8.8
Google Data Studio
Connect to Multiple Data Sources
Anaconda
9.1
Google Data Studio
Extend Existing Data Sources
Anaconda
9.2
Google Data Studio
Automatic Data Format Detection
Anaconda
8.6
Google Data Studio
MDM Integration
Anaconda
8.3
Google Data Studio

Data Exploration

Anaconda
8.6
Google Data Studio
Visualization
Anaconda
8.7
Google Data Studio
Interactive Data Analysis
Anaconda
8.5
Google Data Studio

Data Preparation

Anaconda
8.5
Google Data Studio
Interactive Data Cleaning and Enrichment
Anaconda
8.7
Google Data Studio
Data Transformations
Anaconda
9.1
Google Data Studio
Data Encryption
Anaconda
7.7
Google Data Studio
Built-in Processors
Anaconda
8.6
Google Data Studio

Platform Data Modeling

Anaconda
8.8
Google Data Studio
Multiple Model Development Languages and Tools
Anaconda
9.4
Google Data Studio
Automated Machine Learning
Anaconda
8.3
Google Data Studio
Single platform for multiple model development
Anaconda
8.9
Google Data Studio
Self-Service Model Delivery
Anaconda
8.6
Google Data Studio

Model Deployment

Anaconda
9.1
Google Data Studio
Flexible Model Publishing Options
Anaconda
8.9
Google Data Studio
Security, Governance, and Cost Controls
Anaconda
9.2
Google Data Studio

BI Standard Reporting

Anaconda
Google Data Studio
8.5
Pixel Perfect reports
Anaconda
Google Data Studio
8.0
Customizable dashboards
Anaconda
Google Data Studio
8.9
Report Formatting Templates
Anaconda
Google Data Studio
8.6

Ad-hoc Reporting

Anaconda
Google Data Studio
7.9
Drill-down analysis
Anaconda
Google Data Studio
8.0
Formatting capabilities
Anaconda
Google Data Studio
8.1
Integration with R or other statistical packages
Anaconda
Google Data Studio
6.2
Report sharing and collaboration
Anaconda
Google Data Studio
9.1

Report Output and Scheduling

Anaconda
Google Data Studio
8.5
Publish to Web
Anaconda
Google Data Studio
9.0
Publish to PDF
Anaconda
Google Data Studio
8.6
Report Versioning
Anaconda
Google Data Studio
8.1
Report Delivery Scheduling
Anaconda
Google Data Studio
8.8
Delivery to Remote Servers
Anaconda
Google Data Studio
8.0

Data Discovery and Visualization

Anaconda
Google Data Studio
7.2
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Google Data Studio
7.9
Location Analytics / Geographic Visualization
Anaconda
Google Data Studio
7.9
Predictive Analytics
Anaconda
Google Data Studio
5.9

Pros

Anaconda

  • First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
  • For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
  • In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier
Tigran Petrosyan | TrustRadius Reviewer

Google Data Studio

  • Ease of use: All it takes to create a report is just drag and drop the features/tools and get the report instantly. One great advantage compared to other similar tools such as power bi or tableau is sharing the report instantly.
  • Sharing the Report: You can share the report within your organization and outside the organization with just an URL. You don't need to be a Google user to open the report.
  • Embed the Report on a Sharepoint with just a code. Never thought it would be so easy.
  • Seamless connectivity with Google Products.
Anonymous | TrustRadius Reviewer

Cons

Anaconda

  • Anaconda could greatly benefit by integrating with Git and other versioning software.
  • The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
  • Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.
Ryan McGarry | TrustRadius Reviewer

Google Data Studio

  • One of the biggest drawbacks is that it requires connectors. Data Studio is a great tool as long as you connect Google products/separate files (Excel ), but when it comes to connecting third-party integrations, it's either complicated or not yet available.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne | TrustRadius Reviewer

Google Data Studio

No score
No answers yet
No answers on this topic

Usability

Anaconda

Anaconda 8.9
Based on 2 answers
The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.
Juande Santander-Vela | TrustRadius Reviewer

Google Data Studio

Google Data Studio 9.0
Based on 3 answers
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 | TrustRadius Reviewer

Support Rating

Anaconda

Anaconda 8.9
Based on 16 answers
There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.
Xiaotong Song | TrustRadius Reviewer

Google Data Studio

Google Data Studio 6.6
Based on 18 answers
I rated the overall support for Google Data Studio a five because it offers limited real-time chat of phone support. The best resource available to get analyst questions on Google Data Studio reporting and integration capabilities answered, is an online Google support portal with text and video tutorials: https://support.google.com/datastudio. But the analyst needs to know the correct keyword(s) to find accurate answers to his or her technical questions. Or be in the correct category of questions: Connect, Visualize, Share or Manage. So, the existing self-help portal works fine to answer basic questions on metrics, dimensions, how to integrate a data source, or how to create a custom report. It doesn't do a great job of answering advanced questions on why data doesn't match between Data Studio and Google Analytics. Why data is not showing up even though the dashboard sources have been refreshed, or how to create a custom Google Sheets to auto-update dashboard every month.
Anonymous | TrustRadius Reviewer

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer

Google Data Studio

You get what you pay for with Tableau and Google Data Studio.Google Data Studio is free (for the most part) for a reason. And Tableau is a paid software for a reason. The reason being is that Tableau allows for greater control and customization of the data and the ability to connect more enterprise data sources. Tableau also has more user resources and a more intuitive interface. Compared to Google Data Studio, which has outdated user resources and can be extremely frustrating at times for users that are new to setting up data visualization dashboards.
Sam Lepak | TrustRadius Reviewer

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
Anonymous | TrustRadius Reviewer

Google Data Studio

  • Data Studio is especially helpful for prototyping, and saving manhours/resources by rapidly designing and testing viz/report opportunities.
  • Its positive impact is large: it is free, accessible, shareable, and can be used internally and externally. It is a viable stopgap solution too. More sophisticated reports are built in Tableau or Power BI.
Leah Jakaitis | TrustRadius Reviewer

Pricing Details

Anaconda

General

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

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Google Data Studio

General

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

Google Data Studio Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Anaconda
9.0
Google Data Studio
8.5

Likelihood to Renew

Anaconda
7.0
Google Data Studio

Usability

Anaconda
8.9
Google Data Studio
9.0

Support Rating

Anaconda
8.9
Google Data Studio
6.6

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