Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Published: 02 January 2019 ID: G00372874


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Google has been at the forefront of engineering innovation, but organizations haven’t considered it a leading contender for production data and analytics workload deployment. This research helps technical professionals evaluate the production capabilities of GCP and its suitability for adoption.

Table of Contents

  • Analysis
    • Analysis Criteria
    • Completeness of Solution
    • Integration With Third-Party Products
    • Deployment Options for On-Premises, Hybrid and Multicloud
    • Commitment to Open Source and Standards
    • Availability, Scalability and Performance
    • Security and Compliance
    • Ease and Speed of Development
    • Ease of Operations and Management
    • Skills Requirement
    • Total Cost of Ownership
    • Customer Support and Maintenance
    • Quality of Documentation
    • Future Growth Potential
    • Strengths
    • Weaknesses
  • Guidance
  • The Details
    • Acquire
      • Cloud Pub/Sub
    • Organize
      • Data Persistence
      • Data Processing
    • Analyze
      • BigQuery
      • Data Studio
      • Cloud Datalab
      • Machine Learning and Artificial Intelligence
    • Deliver and Manage
  • Gartner Recommended Reading
© 2019 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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