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Google Cloud Datalab vs SAS Visual Data Mining and Machine Learning comparison

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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between Google Cloud Datalab and SAS Visual Data Mining and Machine Learning based on real PeerSpot user reviews.

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Featured Review
Nilesh Gode
Easy to setup, stable and easy to design data pipelines
Use SAS Visual Data Mining and Machine Learning?
Quotes From Members
We asked business professionals to review the solutions they use.
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Pricing and Cost Advice
  • "It is affordable for us because we have a limited number of users."
  • "The pricing is quite reasonable, and I would give it a rating of four out of ten."
  • "The product is cheap."

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    Questions from the Community
    What do you like most about Google Cloud Datalab?
    Top Answer:Google Cloud Datalab is very customizable.
    Read all 4 answers   →
    What needs improvement with Google Cloud Datalab?
    Top Answer:We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics… more »
    Read all 4 answers   →
    What is your primary use case for Google Cloud Datalab?
    Top Answer:Our main use cases involve transferring workloads from AWS and Univision to Google Cloud Datalab. Before coming to the setting we utilised Google Datalab for looker and handling separated tables for… more »
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    Earn 20 points

    Ranking
    14th
    out of 53 in Data Science Platforms
    Views
    1,680
    Comparisons
    1,534
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    26th
    out of 53 in Data Science Platforms
    Views
    428
    Comparisons
    396
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Visual Data Mining and Machine Learning
    Learn More
    Google
    SAS
    Overview

    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.

    SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.

    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Educational Organization12%
    Computer Software Company10%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company18%
    Manufacturing Company10%
    Insurance Company8%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise9%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    Buyer's Guide
    Data Science Platforms
    April 2024
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    Google Cloud Datalab is ranked 14th in Data Science Platforms with 5 reviews while SAS Visual Data Mining and Machine Learning is ranked 26th in Data Science Platforms. Google Cloud Datalab is rated 7.6, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, IBM SPSS Modeler and KNIME, whereas SAS Visual Data Mining and Machine Learning is most compared with Databricks, SAS Visual Analytics, SAS Enterprise Miner, Microsoft Azure Machine Learning Studio and Amazon SageMaker.

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    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.