IBM’s App Connect is a cloud-based data integration platform with data mapping and transformation capabilities within connectors between high-volume systems. App Connect also offers near-real time data synchronization and an API builder that is adaptable to the user’s coding skill level.
- great when you need to integrate applications without any message lost or duplicated and when transnationality is important - if you need the highest throughput possible and not much (or not at all) mapping is required, a system like Kafka is more appropriate
Multiple systems to interface for a task in the company (example: to sell an item your POS must communicate with the inventory software, then to accounting, then to service, etc).
When a task must bring information from several external services.
When you have to deal with multiple APIs.
Not recommended for:
Data transformation (although Talend has a software for that that works with Talend ESB)
The development and the transformation capability is not so great. I believe IBM is looking to incorporate some of features of IBM APP Connect into API Connect.
The authentications features are no way close to CA API Management (f.k.a Laye r7).
The development experience is not as good as Apigee's.
The GUI should be improved. Maybe the product team should see the other API management tools in their offering.
It is the best on-premise application to cloud integration in the market. I guess IBM is planning to integrate IBM App Connect with the IBM API Connect solution.
You can do some really powerful things with this system. The overall design is an attempt to make configurable some of the routine tasks/common functionality, but allow for development/customization of the core of the application.
We did not select Cast Iron as our iPaaS solution, it was the weakest competitor in the field that we evaluated. Our experience was that it was not nearly as easy to learn, without in-depth training and guidance, and the developer UI was extremely buggy. We subjected each of the vendors to a battery of integrations, from simple to challenging, and it fell short on each one. One of the most simple integrations was grabbing a CSV file from an FTP source, parsing the data, doing a small amount of transformation, then inserting that data into an Azure MSSQL DB. After 2 hours on the phone with the Cast Iron support team, we were still unable to get this working.