Anaconda vs. Google Cloud Datalab

As of June 2019, Anaconda is ranked 12th in Data Science Platforms with 1 review vs Google Cloud Datalab which is ranked 19th in Data Science Platforms. The top reviewer of Anaconda writes "Many data science applications on one single platform". Anaconda is most compared with Databricks, Amazon SageMaker and Microsoft BI. Google Cloud Datalab is most compared with Databricks, Amazon SageMaker and Tableau.
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Anaconda Logo
3,690 views|1,964 comparisons
Google Cloud Datalab Logo
1,040 views|863 comparisons
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Ranking
12th
Views
3,690
Comparisons
1,964
Reviews
1
Average Words per Review
232
Avg. Rating
8.0
19th
Views
1,040
Comparisons
863
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 21% of the time.
Compared 13% of the time.
Compared 11% of the time.
Compared 32% of the time.
Compared 18% of the time.
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Overview

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.

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Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
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Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: June 2019.
348,558 professionals have used our research since 2012.
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