IBM App Connect

IBM App Connect

(35)
3.8 out of 5 stars

IBM App Connect is a multi-tenant, cloud-based platform for rapidly integrating cloud applications, on-premises applications and enterprise systems in a hybrid environment using a “configuration, not coding” approach.

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IBM App Connect Features

Admin Tools
Visual Designer

Provides tool to set up integrations and adminster integrations using visual inteface with out coding

81%
(Based on 7 reviews)
Data Transformations

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

72%
(Based on 7 reviews)
Breadth of Connectors

Supports wide variety of connectors across SaaS, Enterprise, Big Data, Mainframe, Files

70%
(Based on 7 reviews)
Quality of Connectors

Predefined "standard" connectors can be used without signficant modifications

72%
(Based on 7 reviews)
Workflow

Build advanced business processes and workflows

67%
(Based on 6 reviews)
User Community

Has user community that openly shares learnings and knowledge amongst each other

63%
(Based on 6 reviews)
Run Time Capability
Real-Time Integration

Supports event or transaction based integrations that react to changes in real-time

81%
(Based on 18 reviews)
Parallel Processing

Simultaneous uses more than one CPU or processor core to execute large jobs faster during off hours.

76%
(Based on 16 reviews)
Data Chunker

Splits the source data into multiple chunks so that processing time can be improved

75%
(Based on 11 reviews)
Data Masking

Ability to de-identify fields to protect sensitive data

71%
(Based on 13 reviews)
Proactive Monitoring

Identifies opportunities or threats with data quality or data governace and sends alerts messages

75%
(Based on 14 reviews)
Integration Options
Big Data Processing

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

69%
(Based on 11 reviews)
Data Virtualization

Integrates data from disparate sources, without physical data movement

67%
(Based on 10 reviews)
Data Lifecycle Management

Provides tools to manage the flow of data throughout its life cycle: from creation and initial storage to obsolescence and deletion

69%
(Based on 11 reviews)
Master Data Management

Supports managing master data by removing duplicates, standardizing data in mass, using rules, etc to eliminate incorrect data from entering the system.

68%
(Based on 13 reviews)
Hierarchical Data

Ability to process hierarchical data, like JSON, XML, HIPAA etc?.

77%
(Based on 13 reviews)
Managed File Transfers

Provides one or more methods to securely transfer data from one location to another through a network

82%
(Based on 14 reviews)
Asynchronous Messaging

Ability to place a message in a message queue and does not need to wait for a reply to continue processing

81%
(Based on 16 reviews)
Platform
Test to Production

Allows new version of integration or integrating to new software versions to be tested and deployed when scheduled

65%
(Based on 6 reviews)
Customization

System provide sufficient customization to meet business requirements

65%
(Based on 6 reviews)
APIs

System provide well documented API's that can be used to integrate to 3rd party systems

70%
(Based on 5 reviews)
Internationalization

System support multiple currencies and languages to enable business in multiple countries

Not enough data available

Performance and Reliability

System is consistently available (uptime) and system's speed is don't impact productivity

80%
(Based on 6 reviews)
User Segmentation and Security

Allows adminstrators to control access to data/integrations based on user or user type.

78%
(Based on 6 reviews)