IBM Cloud Pak for Integration Features
What are the features of IBM Cloud Pak for Integration?
API Construction
- API Testing
- Data Security
- Orchestration
- Scalability
API Management
- Traffic Control
- Logs/Documentation
- API Monitoring
- Monetization
- Gateway
Data Integration
- App Integration
- Data Transformation
- Plugins
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IBM Cloud Pak for Integration Categories on G2
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API Construction
API Testing | As reported in 16 IBM Cloud Pak for Integration reviews. Provides an environment for users to rest their API's functionality, efficiency, and data accuracy. | 79% (Based on 16 reviews) | |
Data Security | Allows users to secure access to data. Provides additional support for security practices like IP whitelisting, attack mitigation, and data encryption. 15 reviewers of IBM Cloud Pak for Integration have provided feedback on this feature. | 83% (Based on 15 reviews) | |
Orchestration | Allows administrators to create APIs that utilize multiple backend resources and databases. 16 reviewers of IBM Cloud Pak for Integration have provided feedback on this feature. | 77% (Based on 16 reviews) | |
Scalability | As reported in 14 IBM Cloud Pak for Integration reviews. Expands functionality while maintaining balanced loads. Serves growing demand without reducing functionality. | 80% (Based on 14 reviews) |
API Management
Traffic Control | Limits access to suspicious visitors and monitors for traffic spikes to prevent overloads like DDoS attacks. 15 reviewers of IBM Cloud Pak for Integration have provided feedback on this feature. | 79% (Based on 15 reviews) | |
Logs/Documentation | As reported in 15 IBM Cloud Pak for Integration reviews. Records details related to usage and functionality for analytics and reporting. | 78% (Based on 15 reviews) | |
API Monitoring | Based on 16 IBM Cloud Pak for Integration reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | 83% (Based on 16 reviews) | |
Monetization | Based on 15 IBM Cloud Pak for Integration reviews. Allows administrators to manage pricing and billing of API integration with customer applications. | 74% (Based on 15 reviews) | |
Gateway | Provides a dashboard for users to manage, govern, and secure their API. This feature was mentioned in 14 IBM Cloud Pak for Integration reviews. | 79% (Based on 14 reviews) |
Data Integration
App Integration | As reported in 14 IBM Cloud Pak for Integration reviews. The functionality at which APIs integrate with and perform within third-party applications. | 87% (Based on 14 reviews) | |
Data Transformation | Translates complex datasets and backend systems into formats that can be interpreted by applications. 14 reviewers of IBM Cloud Pak for Integration have provided feedback on this feature. | 90% (Based on 14 reviews) | |
Plugins | As reported in 13 IBM Cloud Pak for Integration reviews. Provides additional functionality for increased security, analytics, monitoring, and other features not included in the native feature set. | 79% (Based on 13 reviews) |
Data
Data Processing | The ability to process large amounts of data. | Not enough data | |
Data Sources | The ability to process data from a wide variety of sources and formats. | Not enough data | |
Integration | The ability to work seamlessly with another software platform. | Not enough data | |
Real-Time Processing | Processing data from a variety of sources in real time as it arrives. | Not enough data |
Analytics
Reporting & Analytics | Tools to visualize and analyze data. | Not enough data |
Functionality
Asynchronous Messaging | See feature definition | Allows sender and reciever to operate independently at separate times. | Not enough data |
Language Support | Supports programming languages such as Java, C, or Python. Support for front-end languages such as HTML, CSS, and JavaScript. | Not enough data | |
Cloud-based Messaging | Functions through a cloud-based messaging service without on-premise infrastructure. | Not enough data | |
Latency | Has minimal delay between input and feedback. | Not enough data | |
Extraction | Extract data from the designated source(s) like relational databases, JSON files, and XML files. | Not enough data | |
Transformation | Cleanse and re-format extracted data to the needed target format. | Not enough data | |
Loading | Load reformatted data into target database, data warehouse, or other storage location. | Not enough data | |
Automation | Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). | Not enough data | |
Scalability | Capable of scaling processing power up or down based on ETL volume. | Not enough data |
Integration
Application Integration | Allows messages and data to integrate directly into applications using APIs. | Not enough data | |
Data Integration | Breadth of standard integrations to first, second, and third-party data providers. | Not enough data | |
Plugins and integrations | Allows for additional features and functionalities in the form of pre-packaged integrations and plug-ins. | Not enough data |
Management
Policies and Controls | Ability to control file/folder access by user or group, external sharing permissions, editing policies, device location restrictions, sharing by device, etc. | Not enough data | |
Security Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data | |
Activity Monitoring | Actively monitor status of work stations either on-premise or remote. | Not enough data | |
Reporting | View ETL process data via reports and visualizations like charts and graphs. | Not enough data | |
Auditing | Record ETL historical data for auditing and potential data correction needs. | Not enough data |
Development
Real-Time Integration | Supports event or transaction based integrations that react to changes in real-time | Not enough data | |
API Designer | Provides a web-based interface for designing, documenting, and testing APIs. | Not enough data | |
Flow Designer | Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface. | Not enough data | |
Pre-Built Connectors | Facilitiates API development and integrations with prebuilt connectors, templates, and examples. | Not enough data | |
Custom Connectors | Provides the ability to create connectors from existing services and APIs in catalog. | Not enough data | |
Reusable connectors | Provides prebuilt, reusable connectors and workflows for all user integration requirements. | Not enough data | |
Multi - tenant architecture | Enables multiple tenants (customers) to securely share physical computing resources. | Not enough data |
Management
Monitoring & Notification | Console for monitoring resource utilization, system health, ability to start and stop processes, etc. | Not enough data | |
Routing And Orchestration | Enables data routing on configuration basis and management of complex workflows through an orchestration engine. | Not enough data | |
Data Mapping | Facilitates to and fro data map according to the data model between applications/web services. | Not enough data | |
Data Transformation | Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system. | Not enough data | |
API Management | Supports and oversees the management of API products across their full lifecycle | Not enough data |
Security
Data Encryption | Employs data encryption both at rest and in transit. | Not enough data | |
Security Standards | Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data. | Not enough data | |
Communication Protocol | Supports secure communication protocols like FTPS, SFTP etc | Not enough data |
Integration Options
Data Virtualization | Integrates data from disparate sources, without physical data movement | Not enough data | |
Managed File Transfers | Provides one or more methods to securely transfer data from one location to another through a network | Not enough data | |
Big Data Processing | Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase) | Not enough data | |
EDI | Provides Integrations to EDI service providers. | Not enough data |
Deployment
Hybrid | Supports deployment of integration apps both on-premisis and cloud environments/ | Not enough data | |
Cloud to Cloud | Supports deployment of integration apps to a managed cloud environment | Not enough data |
