We performed a comparison between Anaconda and Google Data Studio based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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, "Conda", makes life easy when it comes to managing and installing packages."
"It helped us find find the optimal area for where our warehouse should be located."
"Voice Configuration and Environmental Management Capabilities are the most valuable features."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The most advantageous feature is the logic building."
"The virtual environment is very good."
"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 ability to integrate with a great variety of data sources."
"The ability to design complex data models and equations."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"Valuable features include advanced integrated analysis and easy implementation."
"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."
"The solution is free so that is a good feature."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"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."
"The solution would benefit from offering more automation."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Anaconda should be optimized for RAM consumption."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"It also takes up a lot of space."
"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."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"It's not yet a replacement for a complete BI tool."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"Other tools might be worth considering if you need more advanced features or support for a larger user base."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"Panels are not as easy to use as other data extraction UIs."
"Stability and scalability an be improved for a full ten."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while Google Data Studio is ranked 13th in Reporting with 8 reviews. Anaconda is rated 8.0, while Google Data Studio is rated 7.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and QlikView.
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.
