IBM InfoSphere DataStage vs webMethods.io Integration comparison

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10,952 views|9,105 comparisons
82% willing to recommend
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374 views|308 comparisons
85% willing to recommend
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Executive Summary

We performed a comparison between IBM InfoSphere DataStage and webMethods.io Integration 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 InfoSphere DataStage vs. webMethods.io Integration Report (Updated: March 2024).
769,630 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
"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.""DataStage works better with Linux operating systems when the application services are hosted on Linux system equipment, but it's powerful on Windows too.""The product is a stable and powerful data management solution that can run in parallel mode for enhanced speed.""When we have needed help from the IBM team, they were helpful. Our company is a premium partner so we get fast responses.""Finding logs is very easy on the solution.""The product is easy to deploy.""The solution's scalability is really good...we are using multi-instance jobs where you can scale them easily.""Highly customizable: Allowing you to handle multiple data latencies (scheduled batch, on-demand, and real-time) in the same job."

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"The solution is scalable.""I like the tool's scalability.""The connectivity that the tool provides, along with the functionalities needed for our company's business, are some of the beneficial aspects of the product.""There's hardware, software and application integration, providing hosting flexibility.""Oracle's self-service capabilities, of which we make extensive use, is the most valuable feature.""Our use case is for integration factory for SAP. It is mostly for SAP integration.""It's easy to construct new interfaces like apps and client portals."

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Cons
"The interface needs work to be more user-friendly.""The response time from support is slow and needs to be improved.""The template mapping could be easier.""In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations.""We would be happy to see in next versions the ability to return several parameters from jobs. Now, jobs can return just one parameter. If they could return several parameters, that would be great.""So, there are some features that are missing. If I compare DataStage to Talend, Talend allows you to write custom code in Java or use these tools in your applications as well if you are building a job application. But in DataStage, it does not allow you to write custom code for any component.""The interface needs improvement. It is really too technical. That is the main problem.""There are three things that could improve - the cloud, monitoring and cloud integration. It's a solid product but not a modern one and of course it depends what you're looking for."

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"webMethods.io Integration's installation is complex. It should also improve integration and connectors.""Rules engine processes and BPM processes should be improved.""It is difficult to maintain.""The products, at the moment, are new and there should perhaps be support for the older version of the protocols.""I am not satisfied with the solution because it takes too much effort to migrate and add new information. The migration could be easier.""The product's stability is an area of concern where improvements are required.""The solution's release management feature could be better."

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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 →

  • "The pricing is a yearly license."
  • "webMethods.io Integration's pricing is high and has yearly subscription costs."
  • More webMethods.io Integration Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:The connectivity that the tool provides, along with the functionalities needed for our company's business, are some of the beneficial aspects of the product.
    Top Answer:The main reason my company decided to replace webMethods.io Integration is because of the integration capabilities in the newer versions of the tool. Whenever there is a new version of webMethods.io… more »
    Top Answer:In my company, the solution is used for SAP Integration.
    Ranking
    7th
    out of 101 in Data Integration
    Views
    10,952
    Comparisons
    9,105
    Reviews
    16
    Average Words per Review
    467
    Rating
    7.9
    22nd
    Views
    374
    Comparisons
    308
    Reviews
    4
    Average Words per Review
    416
    Rating
    7.3
    Comparisons
    Also Known As
    webMethods Integration Cloud, Software AG webMethods Integration Cloud
    Learn More
    Overview

    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.

    Software AG (Frankfurt MDAX: SOW) offers Freedom as a Service. We reimagine integration, spark business transformation and enable fast innovation on the Internet of Things so you can pioneer differentiating business models. We give you the freedom to connect and integrate any technology—from app to edge. We help you free data from silos so it’s shareable, usable and powerful—enabling you to make the best decisions and unlock entirely new possibilities for growth. Software AG has more than 4,700 employees, is active in 70 countries and had revenues of € 866 million in 2018.

    Sample Customers
    Dubai Statistics Center, Etisalat Egypt
    Autosen, A1 Digital, Cintas
    Top Industries
    REVIEWERS
    Computer Software Company50%
    Insurance Company14%
    Transportation Company7%
    Healthcare Company7%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Manufacturing Company11%
    Computer Software Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Manufacturing Company12%
    Energy/Utilities Company8%
    Financial Services Firm7%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise6%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise74%
    REVIEWERS
    Small Business14%
    Large Enterprise86%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    IBM InfoSphere DataStage vs. webMethods.io Integration
    March 2024
    Find out what your peers are saying about IBM InfoSphere DataStage vs. webMethods.io Integration and other solutions. Updated: March 2024.
    769,630 professionals have used our research since 2012.

    IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews while webMethods.io Integration is ranked 22nd in Cloud Data Integration with 7 reviews. IBM InfoSphere DataStage is rated 7.8, while webMethods.io Integration is rated 7.8. 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". On the other hand, the top reviewer of webMethods.io Integration writes "Though the tool provides great connectivity functionality, it needs to be made more stable". IBM InfoSphere DataStage is most compared with IBM Cloud Pak for Data, SSIS, Azure Data Factory, Talend Open Studio and Informatica PowerCenter, whereas webMethods.io Integration is most compared with webMethods Integration Server, SAP Cloud Platform, Apigee, Microsoft Azure API Management and Microsoft Azure Logic Apps. See our IBM InfoSphere DataStage vs. webMethods.io Integration 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.