We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"It helped us find find the optimal area for where our warehouse should be located."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The most advantageous feature is the logic building."
"The solution is stable."
"The notebook feature is an improvement over RStudio."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"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 virtual environment is very good."
"All of the features of this product are quite good."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"Having a small guide or video on the tool would help learn how to use it and what the features are."
"The solution would benefit from offering more automation."
"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 interface should be more user-friendly."
"The licensing costs for Anaconda are reasonable."
"The product is open-source and free to use."
Earn 20 points
Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.
Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.
Anaconda is ranked 6th in Data Science Platforms with 12 reviews while Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review. Anaconda is rated 7.8, while Google Cloud Datalab is rated 8.0. The top reviewer of Anaconda writes "Responsive, sleek and had a beautiful interface that is pleasant to use". On the other hand, the top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". Anaconda is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Microsoft BI and Cloudera Data Science Workbench, whereas Google Cloud Datalab is most compared with Databricks, IBM Watson Studio, Microsoft Azure Machine Learning Studio, Domino Data Science Platform and Alteryx.
See our list of best Data Science Platforms vendors.
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.