iPaaS Requirements Template, Checklist and Gathering Document

This requirements table for iPaaS (Integration Platform as a Service) products clearly outlines the key features and functionalities considered when evaluating vendors. We include the ability to integrate with a wide range of systems and technologies, support for real-time and batch data integration, ease of use and deployment, and scalability to handle high volumes of data and transactions. Other important considerations may include security and compliance, data mapping and transformation capabilities, and the level of automation and monitoring provided.

iPaaS Requirements Table

iPaaS

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Must have connectors to different applications, databases and filesystems
Must be equipped with an adequate number of connectors for different legacy apps, SaaS apps, on-premises data sources, cloud data sources, and file-based systems. This ensures that the tool can integrate with a wide range of systems and technologies.
Application Connectors, Database Connectors, File Processing
Integration
Must have features for building custom connectors
Must provide SDKs in the platform to allow integration developers to build their own custom connectors. This will help developers establish connections with certain apps and data sources that may not be supported out of the box.
Custom Connectors
Integration
Must have a catalog of reusable templates
Must provide pre-built catalogs of integrations to end-users. This will facilitate integration work and increase productivity by providing a library of pre-built integrations that users can select from.
Integration Catalog, Data Catalog, Reusable Integration Templates
Workflow
Data Management
Must secure messages and transactions
Must be able to secure messages and ensure that transactions happen in a safe environment. This is essential for ensuring the confidentiality and integrity of data being transferred.
User Activity Logs, User Authentication via IAM, Data Masking, Row/Column Level Security
Compliance
Must have standard design features
Must provide standard design features to enable consistency across all environments. This will ensure that integrations are consistent and easy to maintain, regardless of where they are deployed.
Common Design, Common Metadata
Use Case Fit
Must support different integration scenarios
Must have support for building various integration scenarios ranging from Application, API, data, B2B, IoT to Event ingestion. This will enable users to create integrations for a wide variety of use cases and scenarios.
API Integration, Data Integration, B2B/EDI Integration, IoT integration, Event Stream Ingestion
Use Case Fit
Must support synchronous communication
Must support the request/reply mode of communication. This mode involves the consumer waiting for a response from the backend systems.
Request/Reply Message Interaction Mode
Messaging
Must support asynchronous communication
Must support asynchronous communication, where the consumer does not wait for a response from the backend systems.
PubSub Message Interaction Mode, Event-driven Message Interaction Mode
Messaging
Must support bulk data transfers
Must be able to handle large scale batch-based or file-based data transfers.
File-driven Message Interaction Mode, Bulk/batch Interaction Mode
Messaging
Must enable sharing of integration artifacts
Must enable different users to share the artifacts they have created for greater collaboration during the integration lifecycle.
Integration Marketplace, Interchangeable Artifacts for Hybrid Environments, High Degree of Interoperability
Use Case Fit
Workflow
Must address needs of different types of users
Must provide support for different integration personas, including integration specialists, IT professionals, and non-IT/business professionals.
Suitable for Integration Specialists, Suitable for IT Practitioners, Suitable for Line of Business Users
Workflow
Must support deployment model
Must have the capability to deploy integrations on-premises, in the cloud, or in a hybrid deployment mode, depending on the business requirements.
On-premises Deployment, Cloud Deployment, Hybrid or Multicloud Deployment, Hosted PaaS
Use Case Fit
Must track and enhance messages
Must have the ability to transform, orchestrate, and route messages to make them available for end applications.
Message Routing, Message Validation, Message Inspection, Message Enrichment, Message Logging, Message Service Abstraction, Message Service Binding
Messaging
Must monitor transactions
Must have effective monitoring enabled to allow users to track various transactions and alert them in case of errors or any unforeseen situations.
Runtime Administration, Management Console, Automated System Monitoring and Alerting, Profiling and Monitoring
Compliance
Workflow
Data Management
Must have a good developer experience
Must have features to enable good developer experience and focus on enabling them to maintain the integration lifecycle.
Good Development Workflow Experience, RBAC, Version Control, Custom Authorization Policies
Compliance
Workflow
Must create meaningful data assets
Must support data-related features for creating data profiles.
Data Modeling, Data Virtualization, Redundancy Detection, Data Quality Management
Use Case Fit
Data Management
Must have good pricing
Must provide different pricing options that cater to the needs of businesses of all sizes, from small to large, and allow them to choose the option that best suits their needs.
Good Pricing for Lots of Messages, Good Pricing for Lots of Connectors, Good Pricing for Lots of API Calls, Good Pricing for Lots of Users, Good Pricing for Lots of Data, Good Pricing for Lots of Actions
Pricing
Must connect to different data sources
Must provide connections to on-premise as well as legacy data sources.
On-premises Data Source, Legacy App Data Source
Use Case Fit

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