Published: 26 February 2024
Summary
The demand for integration has never been higher, and the use cases and capabilities for integration platform as a service supporting them are diverse. Software engineering leaders can use this research to align their capability needs with the best iPaaS solution for them.
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Overview
Key Findings
Integration platform as a service is an operating model for system connectivity rather than a stand-alone tool. It supports capabilities from across traditionally separate technology market categories, leading software engineering leaders to increasingly utilize iPaaS for strategic integration use cases.
A broad range of personas are addressed by integration platform vendors, spanning the spectrum from engineering expertise to depth in business and process acumen. It is common for iPaaS offerings to accommodate some of the integration personas but iPaaS solutions rarely support all personas comprehensively.
Artificial intelligence and machine learning capabilities that have been present in integration technologies for years
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- Amazon Web Services
- Boomi
- Celigo
- Frends
- Huawei
- IBM
- Informatica
- Jitterbit
- Microsoft
- Oracle
- Salesforce (MuleSoft)
- SAP
- SnapLogic
- Software AG
- TIBCO Software
- Tray.io
- Workato
- Application/Data Connectors
- File Transfer Features
- Message/Event Broker
- EDI Support
- Intelligent Document Processing
- API Management
- Orchestration and Choreography
- Decision Automation
- Data Validation and Transformation
- Packaged Integration Processes
- Business Technologist Experience
- Integration Specialist Experience
- Software Engineer Experience
- Runtime Options
- Security and Compliance
- Data Consistency (Applications)
- Data Consistency (Data)
- Multistep Process (Internal)
- Multistep Process (External)
- Composite Service (Internal)
- Composite Service (External)
Critical Capabilities Methodology