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Google Cloud Datalab vs OpenText Magellan comparison

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Google Cloud Datalab
Read 5 Google Cloud Datalab reviews
1,601 views|1,469 comparisons
75% willing to recommend
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OpenText Magellan
125 views|77 comparisons
Comparison Buyer's Guide
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Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between Google Cloud Datalab and OpenText Magellan 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: April 2024).
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Featured Review
Nilesh Gode
Easy to setup, stable and easy to design data pipelines
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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
    15th
    out of 63 in Data Science Platforms
    Views
    1,601
    Comparisons
    1,469
    Reviews
    3
    Average Words per Review
    574
    Rating
    7.3
    34th
    out of 63 in Data Science Platforms
    Views
    125
    Comparisons
    77
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Magellan
    Learn More
    Google
    OpenText
    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.

    OpenText Magellan is a flexible artificial intelligence (AI) and analytics platform that combines machine learning, advanced analytics, and enterprise-grade business intelligence (BI) with the ability to acquire, merge, manage, and analyze structured and unstructured big data.

    Sample Customers
    Information Not Available
    Westpac Banking Corporation, North Star BlueScope Steel, E&J Gallo Winery, Legal & General America
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Educational Organization11%
    Computer Software Company11%
    Manufacturing Company9%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    April 2024
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    Google Cloud Datalab is ranked 15th in Data Science Platforms with 5 reviews while OpenText Magellan is ranked 34th in Data Science Platforms. Google Cloud Datalab is rated 7.6, while OpenText Magellan 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, KNIME and Qlik Sense, whereas OpenText Magellan is most compared with .

    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.