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iPaaS vs. Cloud Platforms: Integration Approach & Tools Comparison
Category
Functionality
iPaaS (e.g., Boomi, MuleSoft, Workato)
• Pre-built connectors simplify integrations
• Supports common data mappings
Cloud Platforms (e.g., Azure, AWS, GCP)
• Full control over tech stack and design
• No license costs
• May not meet extreme scale/security needs
• Less performant at high scale
• Higher initial labor costs
• Poor governance can lead to long-term cost creep
• Less effective for complex/custom logic
• Potentially high license and infrastructure costs
• More effort required for setup and scaling
• Fewer pre-built connectors (improving)
• Lower labor costs for implementation
Flexibility
• Built-in connectors promote loosely coupled architectures
• Maximum flexibility in architecture and tech choice
• Heavily reliant on implementation quality
• Operational risk if poorly configured
• Limited if available connectors don’t match needs
• Lacks out-of-the-box functionality; custom setup required
Productivity
• Low-code tools and prebuilt components accelerate delivery
• Broader talent pool for development and maintenance
Cost of Ownership
• Often requires platform-specific expertise
• Significant upfront investment in platform setup
• Ongoing OpEx may rise with limited pricing transparency
Reliability
• Proven stability and scalability for typical enterprise use cases
• Built to meet strict org policies and compliance standards
• Pay-as-you-go pricing and clearer usage tracking
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Limitations
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• Pre-built connectors simplify integrations
• Supports common data mappings
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