Gartner Research

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

Published: 02 January 2019

ID: G00372874

Analyst(s): Sanjeev Mohan


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 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


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

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