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.
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IBM DataStage
Score 7.9 out of 10
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IBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.
I used the IBM WebSphere DataStage tool which is an ETL tool where we extract transform and load. This tool is a little tougher to understand than App Connect. For example, to build a job in App Connect is easier than DataStage. We can schedule the job to run in the same …
- 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
Excellent Cloud data mapping tool and easy creating multiple project data analytics in real-time and the report distribution are excellent via this IBM product. Easy tool to provide data visualization and the integration is effective and helpful to migrating huge amounts of data across other platforms and different websites insights gathering.
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.
Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
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.
It's obvious since they both are from the same vendors and it makes it easier and can get better rates for licensing. Also, sales rapes are very helpful in case of escalations and critical issues.