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."The virtual environment is very good."
"The solution is stable."
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code."
"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 notebook feature is an improvement over RStudio."
"It helped us find find the optimal area for where our warehouse should be located."
"I can use Anaconda for non-heavy tasks."
"The ability to design complex data models and equations."
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like."
"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."
"The solution is free so that is a good feature."
"This has improved our organization by allowing people to see their data and develop visualizations themselves."
"The ability to integrate with a great variety of data sources."
"I find it favorable regarding speed of development, ease of building, and flexibility."
"Valuable features include advanced integrated analysis and easy implementation."
"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."
"When you install Anaconda for the first time, it's really difficult to update it."
"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."
"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 better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"Anaconda should be optimized for RAM consumption."
"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."
"There is a significant degree of sophistication required to compete with Tableau or Cognos."
"Panels are not as easy to use as other data extraction UIs."
"Stability and scalability an be improved for a full ten."
"The tool should come up with data modeling layer features that are present in other products like Power BI."
"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."
"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."
"It's not yet a replacement for a complete BI tool."
Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Google Data Studio is ranked 14th in Reporting with 7 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 "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 Databricks.
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.
