IBM App Connect vs IBM InfoSphere DataStage comparison

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1,760 views|944 comparisons
100% willing to recommend
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11,157 views|9,214 comparisons
82% willing to recommend
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Executive Summary

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.
To learn more, read our detailed IBM App Connect vs. IBM InfoSphere DataStage Report (Updated: March 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's stable to use, connect with the cloud, and to deploy.""We use IBM App Connect for the integration between the applications.""I would say that the most valuable feature is the array of connectors and integration tools.""Provides good security features.""Technical support is good.""It's a powerful application for collaboration. It has many features for customization and integration.""There is a friendly interface for configuration, and integration is made easy.""App Connect's best feature is that it can be deployed in a container."

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"The most valuable feature is the ability to transfer information via notes.""The performance optimization is quite good in DataStage. It provides parallelism and pipelining mechanisms""The most valuable feature for our data processing needs is IBM InfoSphere DataStage's capability to handle ETL tasks with large record volumes.""The most valuable feature of the solution is the ability to incorporate very complex business rules in Data Stage.""Finding logs is very easy on the solution.""The product is easy to deploy.""The solution is stable.""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."

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Cons
"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.""The installation of containers could be simplified, as it currently requires a senior-level installer.""When we do a version upgrade of the system, the platform is kind of complicated.""The addition of string functionality would be a benefit, particularly in the ESQL space that IBM already uses internally.""Updates are constantly delayed.""The product should improve its support.""The user interface of IBM App Connect can be a little bit more user-friendly, I would say because the first-time developer is onboarded while using IBM App Connect, he or she may get a little intimidated or daunted looking at all the options available or the pipelines, et cetera.""IBM needs to enhance and have a stronger offering for the event streaming part because this is the future needed for the containerization and the new integration requirement."

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"The response time from support is slow and needs to be improved.""The interface needs improvement. It is really too technical. That is the main problem.""The interface needs work to be more user-friendly.""The troubleshooting guide is very bad.""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.""It would be great if they can include some basic version of data quality checking features.""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.""The graphical user interface (GUI) feels a lot like the interfaces from the 1980s."

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Pricing and Cost Advice
  • "It is very expensive if we want to scale."
  • "The price could be better."
  • "The licensing cost for IBM App Connect is very high."
  • "The cost depends upon the consumer."
  • "Initially, App Connect was quite expensive because the cost was based on the number of processors we used. However, it's now based on containers, which means we can be more specific about our consumption and get a better price."
  • "The solution's pricing isn't cheap, but you can get good discounts based on your competitive deal."
  • More IBM App Connect Pricing and Cost Advice →

  • "High-cost of ownership: They could take a page from open source software."
  • "Pricing varies based on use, and it is not as costly as some competing enterprise solutions."
  • "Small and medium-sized companies cannot afford to pay for this solution."
  • "The cost is too high."
  • "It's very expensive."
  • "Our internal team takes care of group licensing and cost. We don't have individual licenses. We have group licensing at the company level. Usually, IBM doesn't charge anything separately on the licensing side. For storage and everything else, we are paying around $6,000 per month, which is not very high. It includes Linux data storage, execution, and licensing. They're charging $40 for one-hour execution. Based on that, we are spending around $2,000 on the production environment and $1,000 on the lower environment for testing and development-side executions. For the mainframe, we are using the Db2 mainframe database, and we are spending around $1,000 on the Db2 mainframe database as well. All this comes out to be around $6,000. We, however, would like to have some cost reduction."
  • "The price is expensive but there are no licensing fees."
  • "It is quite expensive."
  • More IBM InfoSphere DataStage Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution's pricing isn't cheap, but you can get good discounts based on your competitive deal.
    Top Answer:We use the product mainly for the integration of enterprise applications.
    Top Answer: My company currently uses the free version of the product, and we are definitely switching to a paid one. We needed a tool that can help us not only integrate our data but use it effectively. For the… more »
    Top Answer: I think the tool may cause some difficulties if you have not used other data integration solutions before. I have worked at companies that used different tools for data integration, and they work… more »
    Top Answer:IBM Cloud Paks makes a big difference in your data integration. My company has been using it alongside IBM InfoSphere DataStage and while the main product is good on its own, this one truly expands… more »
    Ranking
    11th
    Views
    1,760
    Comparisons
    944
    Reviews
    13
    Average Words per Review
    437
    Rating
    8.3
    7th
    out of 100 in Data Integration
    Views
    11,157
    Comparisons
    9,214
    Reviews
    15
    Average Words per Review
    452
    Rating
    7.9
    Comparisons
    Also Known As
    IBM Cast Iron
    Learn More
    Overview

    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:

    • Designing data flows to extract information from multiple sources, transform the data, and deliver it to target databases or applications.

    • Delivery of relevant and accurate data through direct connections to enterprise applications.

    • Reduction of development time and improvement of consistency through prebuilt functions.

    • Utilization of InfoSphere Information Server tools for accelerating the project delivery cycle.

    IBM InfoSphere DataStage can be deployed in various ways, including:

    • As a service: The tool can be accessed from a subscription model, where its capabilities are a part of IBM DataStage on IBM Cloud Park for Data as a Service. This option offers full management on IBM Cloud.

    • On premises or in any cloud: The two editions - IBM DataStage Enterprise and IBM DataStage Enterprise Plus - can run workloads on premises or in any cloud when added to IBM DataStage on IBM Cloud Pak for Data as a Service.

    • On premises: The basic jobs of the tool can be run on premises using IBM DataStage.

    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:

    • AI services: The tool offers services such as data science, event messaging, data warehousing, and data virtualization. It accelerates processes through artificial intelligence (AI) and offers a connection with IBM Cloud Paks - the cloud-native insight platform of the solution.

    • Parallel engine: Through this feature, ETL performance can be optimized to process data at scale. This is achieved through parallel engine and load balancing, which maximizes throughput.

    • Metadata support: This feature of the product uses the IBM Watson Knowledge Catalog to protect companies' sensitive data and monitor who can access it and at what levels.

    • Automated delivery pipelines: IBM InfoSphere DataStage reduces costs by automating continuous integration and delivery of pipelines.

    • Prebuilt connectors: The feature for prebuilt connectivity and stages allows users to move data between multiple cloud sources and data warehouses, including IBM native products.

    • IBM DataStage Flow Designer: This feature offers assistance through machine learning design. The product offers its clients a user-friendly interface which facilitates the work process.

    • IBM InfoSphere QualityStage: The tool provides a feature that automatically resolves data quality issues and increases the reliability of the delivered data.

    • Automated failure detection: Through this feature, companies can reduce infrastructure management efforts, relying on the automated detection that the tool offers.

    • Distributed data processing: Cloud runtimes can be executed remotely through this feature while maintaining its sovereignty and decreasing costs.

    IBM InfoSphere DataStage Benefits

    This solution offers many benefits for the companies that utilize it for data integration. Some of these benefits include:

    • Increased speed of workload execution due to better balancing and a parallel engine.

    • Reduction of data movement costs through integrations and seamless design of jobs.

    • Modernization of data integration by extending the capabilities of companies' data.

    • Delivery of reliable data through IBM Cloud Pak for Data.

    • Utilization of a drag-and-drop interface which assists in the delivery of data without the need for code.

    • Effective data manipulation allows data to be merged before being mapped and transformed.

    • Creating easier access of users to their data by providing visual maps of the process and the delivered data.

    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.

    Sample Customers
    United Way of Allegheny County, Saint-Gobain CPS, Ricoh, SunTrust Banks Inc.
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    REVIEWERS
    Financial Services Firm38%
    Computer Software Company23%
    Manufacturing Company15%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Educational Organization55%
    Computer Software Company9%
    Financial Services Firm6%
    Energy/Utilities Company3%
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise17%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise60%
    Large Enterprise30%
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    Buyer's Guide
    IBM App Connect vs. IBM InfoSphere DataStage
    March 2024
    Find out what your peers are saying about IBM App Connect vs. IBM InfoSphere DataStage and other solutions. Updated: March 2024.
    767,847 professionals have used our research since 2012.

    IBM App Connect is ranked 11th in Cloud Data Integration with 20 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. IBM App Connect is rated 8.2, 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 "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". IBM App Connect is most compared with IBM Cloud Pak for Integration, Mule Anypoint Platform, webMethods Integration Server, TIBCO BusinessWorks and SAP Process Orchestration, whereas IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Alteryx Designer. See our IBM App Connect vs. IBM InfoSphere DataStage report.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.