IBM App Connect vs. IBM DataStage

IBM App Connect Enterprise is well-suited for high-volume enterprise systems that demand robust scalability and high reliability. It excels at hybrid connectivity by easily integrating various on-premises systems using its extensive catalog of connectors. It is also ideal for workflows that require a balance between efficient low-code and the incorporation of complex, custom Java logic. On the other hand, the platform is less appropriate in scenarios requiring high development autonomy, as installation and configuration at the server level is excessively complex, creating a strong dependency on other infrastructure teams. It is also not ideal if detailed traceability and monitoring of workflows must be seamlessly managed within the tool itself, as this is difficult to manage directly in ACE. IBM App Connect Enterprise está bien adaptado para sistemas empresariales de alto volumen que exigen una escalabilidad robusta y alta confiabilidad. Sobresale en la conectividad híbrida al integrar fácilmente diversos sistemas locales (on-premises) utilizando su amplio catálogo de conectores. Además, es ideal para flujos que requieren un equilibrio entre el low-code eficiente y la incorporación de lógica Java compleja y personalizada. Por otro lado, la plataforma es menos apropiada en escenarios donde se requiere una alta autonomía de desarrollo, debido a que la instalación y configuración a nivel de servidor es excesivamente compleja , lo cual crea una fuerte dependencia de otros equipos de infraestructura. Tampoco es ideal si la trazabilidad detallada y el monitoreo de los flujos deben gestionarse sin problemas dentro de la propia herramienta, ya que esto resulta difícil de manejar directamente en ACE. Parts of this review were originally written in Spanish and have been translated into English using a third-party translation tool. While we strive for accuracy, some nuances or meanings may not be perfectly captured.

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DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.

• Just the ability to display and consume data through a single dashboard makes this a great application for our business purposes.
• With the ability to consume their exposed API, data validation and manipulation becomes a breeze.

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• Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
• Powerful tool to load large volumes of data.
• Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
• Allow us to synchronize and refresh data as much as needed.

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• modernization made easy, when a modernized project is created by importing a java code.
• more pre-built connectors
• watsonx code assistance for ESQL capability.

• Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
• Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
• Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.

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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.

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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.

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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.

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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.

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Usually, the IBM Ops team provides a resolution or a response for 80% of defects raised in my project. There is one which has been open on their end for more than 3 months. With literally no response even after multiple follow-ups.

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IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.

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IBM App Connect started as MQSeries Integrator (MQSI) more than 20 years ago. In the IT environment, this is like an eternity. And this allowed a lot of customer experience and needs to be embedded in the product. Without it becoming a legacy application. The changes done in the latest version are preparing it for a Cloud/containers world without losing the previously learned knowledge.

With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.

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• We never implemented Cast Iron in production. When compared to five competing products in the iPaaS space it didn't make it past the first few test scenarios we threw at it.

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• It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
• Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
• Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.