We performed a comparison between Anaconda and Google Cloud Datalab based on real PeerSpot user reviews.Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
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 10th in Data Science Platforms with 1 review while Google Cloud Datalab is ranked 16th in Data Science Platforms. Anaconda is rated 9.0, while Google Cloud Datalab is rated 0.0. The top reviewer of Anaconda writes "Supported by multiple IDEs, easy to install and manage packages". On the other hand, Anaconda is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Databricks, Cloudera Data Science Workbench and SAP Analytics Cloud, whereas Google Cloud Datalab is most compared with Databricks, Microsoft Azure Machine Learning Studio, IBM Watson Studio and IBM SPSS Modeler.
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