Google Cloud Datalab vs SAP Predictive Analytics comparison

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1,601 views|1,469 comparisons
75% willing to recommend
SAP Logo
474 views|406 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Google Cloud Datalab and SAP Predictive Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Google Cloud Datalab is very customizable.""In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud.""The APIs are valuable.""All of the features of this product are quite good.""The infrastructure is highly reliable and efficient, contributing to a positive experience."

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"I think the features of the actual ability to forecast and pull trends and correlations has been really good.""The most valuable features are the analytics and reporting."

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Cons
"The interface should be more user-friendly.""There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option.""Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience.""The product must be made more user-friendly.""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 requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

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"This solution works for acquired data but not live, real-time data."

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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."
  • More Google Cloud Datalab Pricing and Cost Advice →

  • "A free trial version is available for testing out this solution."
  • "The pricing is reasonable"
  • More SAP Predictive Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Google Cloud Datalab is very customizable.
    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 »
    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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    Ranking
    15th
    Views
    1,601
    Comparisons
    1,469
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    24th
    Views
    474
    Comparisons
    406
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
    Learn More
    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.

    SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

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    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Educational Organization11%
    Computer Software Company11%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm13%
    Educational Organization13%
    Comms Service Provider10%
    University8%
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise74%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    Google Cloud Datalab is ranked 15th in Data Science Platforms with 5 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. Google Cloud Datalab is rated 7.6, while SAP Predictive Analytics is rated 8.6. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Qlik Sense, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, 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.