Gartner Research

Deploying Effective iPaaS Solutions for Data Integration

Published: 20 May 2019

ID: G00384469

Analyst(s): Joe Maguire


Modern data architectures demand integration solutions capable of processing complex data from disparate sources. Data and analytics technical professionals should adopt integration platform as a service to rapidly deploy integration solutions and enable features like integration self-service.

Table Of Contents


  • Definitions
  • Overlap Among Data Integration Tools and Techniques
  • iPaaS for Data Integration
  • iPaaS Core Components
  • Basic iPaaS Architecture
  • Advanced iPaaS Architecture
  • iPaaS Configuration
  • Observed Trends
    • Artificial Intelligence and Machine Learning
    • Out-of-the-Box Integration Patterns
    • Support for Multiple End-User Types
    • Aggressive Expansion
  • Strengths
  • Weaknesses


  • iPaaS Best Practices
    • Data Integration Patterns
    • Evaluate Connectors
    • Align iPaaS With Data Gravity
    • Deploy iPaaS Enhanced Features
    • Support Citizen Integrators and Ad Hoc Integrators
  • Retain Required On-Premises Solutions
  • iPaaS Vendors
  • Other Providers

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