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."I can use Anaconda for non-heavy tasks."
"The solution is stable."
"It helped us find find the optimal area for where our warehouse should be located."
"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."
"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 documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"The virtual environment is very good."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"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."
"The ability to integrate with a great variety of data sources."
"The solution is free so that is a good feature."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"Valuable features include advanced integrated analysis and easy implementation."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"When you install Anaconda for the first time, it's really difficult to update it."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"Anaconda can't handle heavy workloads."
"Anaconda should be optimized for RAM consumption."
"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."
"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."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"Stability and scalability an be improved for a full ten."
"It's not yet a replacement for a complete BI tool."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."
Anaconda is ranked 18th in Data Science Platforms with 1 review while Google Data Studio is ranked 14th in Reporting with 4 reviews. Anaconda is rated 7.8, while Google Data Studio is rated 7.8. 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 " An intuitive and cost-effective business intelligence solution empowering users with versatile data visualization". 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 Databricks.
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