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Google Cloud Datalab vs WPS Analytics comparison

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Google Cloud Datalab

Read 5 Google Cloud Datalab reviews
1,680 views|1,534 comparisons
75% willing to recommend
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WPS Analytics

367 views|271 comparisons
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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
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Featured Review
Nilesh Gode
Easy to setup, stable and easy to design data pipelines
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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 →

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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 »
    Read all 4 answers   →
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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
    28th
    out of 53 in Data Science Platforms
    Views
    367
    Comparisons
    271
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    World Programming System, WPS
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    Google
    World Programming
    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.

    WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.

    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Educational Organization12%
    Computer Software Company10%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm15%
    Government10%
    Insurance Company10%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise9%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise18%
    Large Enterprise63%
    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 WPS Analytics is ranked 28th in Data Science Platforms. Google Cloud Datalab is rated 7.6, while WPS Analytics 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 WPS Analytics is most compared with SAS Visual Analytics, Alteryx, Altair Knowledge Studio, Dataiku Data Science Studio and Databricks.

    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.