We performed a comparison between IBM App Connect and IBM InfoSphere DataStage based on real PeerSpot user reviews.Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"The most valuable feature is the security."
"It's a powerful application for collaboration. It has many features for customization and integration."
"When using IBM stacks, IBM App Connect is suitable and integrates well with other IBM products like WebSphere."
"Very scalable, flexible, and user-friendly."
"Provides good security features."
"The solution is fast and supports Open UI 3.0 certification."
"Technical support is good."
"It's stable to use, connect with the cloud, and to deploy."
"We like the flexibility of modeling."
"The best feature of IBM InfoSphere DataStage for me was that it was very much user-friendly. The solution didn't require that much raw coding because most of its features were drag and drop, plus it had a large number of functionalities."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms"
"It's a robust solution."
"It is quite useful and powerful."
"We are mostly using transmission rules. It has a lot of functions and logic related to transmission. It is a user-friendly tool with in-built functions."
"Offers great flexibility."
"In the next release, I would like to get some quality connectors."
"Updates are constantly delayed."
"Plugins for the repositories are difficult to find."
"IBM App Connect is scalable. From the administration side, they need to improve the RBAC model, as well as the clustering of this product. It will be good if we can start up the cluster, via IBM Connect Console. Some other products like MuleSoft, are providing this type of administration. MuleSoft is easy to use and user friendly."
"They reply in one or two hours at most, but they could be better."
"The installation of containers could be simplified, as it currently requires a senior-level installer."
"The interface could be better."
"The addition of string functionality would be a benefit, particularly in the ESQL space that IBM already uses internally."
"What needs improvement in IBM InfoSphere DataStage is its pricing. The pricing for the solution is higher than its competitors, so a lot of the clients my company has worked with prefer other tools over IBM InfoSphere DataStage because of the high price tag. Another area for improvement in the solution stems from a lot of new types of databases, for example, databases in the cloud and big data have become available, and IBM InfoSphere DataStage is working on various connectors for different data sources, but that still isn't up-to-date, meaning that some connectors are missing for modern data sources. The latest version of IBM InfoSphere DataStage also has a complex architecture, so my team faced frequent outages and that should be improved as well."
"The interface needs improvement."
"Their web interface is good but the on-prem sites are outdated. The solution could also be improved if they could integrate the data pipeline scheduling part of their interface."
"Its documentation is not up to the mark. While building APIs, we had a lot of problems trying to get around it because it is not very user-friendly. We tried to get hold of API documentation, but the documentation is not very well thought out. It should be more structured and elaborate. In terms of additional features, I would like to see good reporting on performance and performance-tuning recommendations that can be based on AI. I would also like to see better data profiling information being reported on InfoSphere."
"The error messaging needs to be improved."
"In the future, I would like to see more integration with cloud technologies."
"Currently lacking virtualization ability."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
Rapidly connect public clouds, private clouds and on-premises application
App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
• With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
• Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
• App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios
IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.
The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical framework for moving data from source systems to target systems. IBM InfoSphere DataStage can deliver data to data warehouses, data marts, operational data sources, and other enterprise applications. The tool works with various types of patterns - extract, transform and load (ETL), and extract, load, and transform (ELT). The scalability of the platform is achieved by using parallel processing and enterprise connectivity.
The solution has various versions, catering to different types of companies, which include the Server Edition, the Enterprise Edition, and the MVS Edition. Depending on which version a company has bought, different goals can be achieved. They include the following:
IBM InfoSphere DataStage can be deployed in various ways, including:
IBM InfoSphere DataStage Features
The tool has various features through which users can integrate and utilize their data effectively. The components of IBM InfoSphere DataStage include:
IBM InfoSphere DataStage Benefits
This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:
Reviews from Real Users
A data/solution architect at a computer software company says the product is robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data.
Tirthankar Roy Chowdhury, team leader at Tata Consultancy Services, feels the tool is user-friendly with a lot of functionalities, and doesn't require much coding because of its drag-and-drop features.
IBM App Connect is ranked 11th in Cloud Data Integration with 8 reviews while IBM InfoSphere DataStage is ranked 9th in Data Integration Tools with 10 reviews. IBM App Connect is rated 8.6, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of IBM App Connect writes "Very flexible and user-friendly; embeds with other technologies; no dependency on queue manager". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "Robust, easy to use, has a simple error logging mechanism, and works very well for huge volumes of data". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, TIBCO BusinessWorks, SAP Process Orchestration and Oracle Integration Cloud Service, whereas IBM InfoSphere DataStage is most compared with SSIS, Talend Open Studio, AWS Glue, Azure Data Factory and Informatica PowerCenter. See our IBM App Connect vs. IBM InfoSphere DataStage report.
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