IBM App Connect vs IBM InfoSphere DataStage comparison

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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: November 2022).
654,218 professionals have used our research since 2012.
Featured Review
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"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."

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Cons
"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."

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"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."

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Pricing and Cost Advice
  • "The price could be better."
  • "The licensing cost for IBM App Connect is very high."
  • "The cost depends upon the consumer."
  • More IBM App Connect Pricing and Cost Advice →

  • "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."
  • "It's quite expensive."
  • "I have no information on the exact pricing for IBM InfoSphere DataStage because the solution is usually procured by the clients my company works with, though the pricing is higher compared to other solutions, so many clients choose to go with a different solution rather than IBM InfoSphere DataStage."
  • More IBM InfoSphere DataStage Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The pricing could be better. Licensing is on a yearly basis.
    Top Answer:This solution is used as the integration hub between the internal application of any enterprise.
    Top Answer:When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.
    Top Answer:I have no information on the exact pricing for IBM InfoSphere DataStage because the solution is usually procured by the clients my company works with, though the pricing is higher compared to other… more »
    Top Answer: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.
    Ranking
    11th
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    1,604
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    6
    Average Words per Review
    292
    Rating
    8.5
    9th
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    15,132
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    12,468
    Reviews
    9
    Average Words per Review
    468
    Rating
    7.7
    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.

    Offer
    Learn more about IBM App Connect
    Learn more about IBM InfoSphere DataStage
    Sample Customers
    United Way of Allegheny County, Saint-Gobain CPS, Ricoh, SunTrust Banks Inc.
    Dubai Statistics Center, Etisalat Egypt
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company22%
    Financial Services Firm9%
    Comms Service Provider9%
    Insurance Company7%
    REVIEWERS
    Computer Software Company70%
    Aerospace/Defense Firm10%
    Healthcare Company10%
    Financial Services Firm10%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company17%
    Comms Service Provider9%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise20%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise17%
    Large Enterprise65%
    REVIEWERS
    Small Business47%
    Midsize Enterprise3%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise10%
    Large Enterprise75%
    Buyer's Guide
    IBM App Connect vs. IBM InfoSphere DataStage
    November 2022
    Find out what your peers are saying about IBM App Connect vs. IBM InfoSphere DataStage and other solutions. Updated: November 2022.
    654,218 professionals have used our research since 2012.

    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.

    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.