Gartner Research

Multicloud Architectures for Enterprise Databases and Data-Centric Solutions

Published: 25 April 2019

ID: G00377532

Analyst(s): Lyn Robison


Most enterprises are using multiple public cloud vendors, and data and analytics technical professionals are expected to design architectures that minimize the problems and harness the power of multicloud. This document assesses multicloud options for databases and data-centric solutions.

Table Of Contents


  • How Feasible Is It to Cherry Pick the Strengths of Each Cloud Platform?
  • Can Multicloud Architectures Increase Resiliency and Agility While Reducing Costs?
  • Can a Multicloud Strategy Achieve Cloud Neutrality and Portability?
  • Multicloud Architecture
    • The Basics of Solution Architecture
    • Multicloud Architectures
  • Strengths
  • Weaknesses


  • Use Multicloud Solution Architectures Only Where the Benefits of Multicloud Are Compelling or the Need for Multicloud Is Undeniable
  • Implement Multicloud Solution Architectures in Situations Where the Benefits of Cherry Picking, Improving IT Agility or Improving System Robustness Are Compelling
  • Select the Simplest Multicloud Architecture That Achieves the Business Goals
  • Set Realistic Expectations Regarding Multicloud Cherry Picking, System Robustness, Cloud Portability and Vendor Neutrality

The Details

  • Required Infrastructure for Multicloud Solution Architectures
  • Data Integration Between dbPaaS Databases on Different Clouds
    • SQL Joins Between dbPaaS RDBMSs on Different Clouds
    • Replication Between dbPaaS Databases on Different Clouds
    • Streaming Data Between dbPaaS Databases on Different Clouds
    • Data Virtualization Between Cloud Platforms
  • Identity and Access Management in Multicloud
  • Database and Application Migrations vs. Multicloud Solutions
  • Cloud Vendor Neutrality and Cloud Application Portability
  • Single-Cloud Solution Architectures

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