Azure Data Factory vs webMethods Integration Server comparison

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26,170 views|20,469 comparisons
91% willing to recommend
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3,421 views|2,391 comparisons
94% willing to recommend
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Executive Summary

We performed a comparison between Azure Data Factory and webMethods Integration Server based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Azure Data Factory vs. webMethods Integration Server Report (Updated: May 2023).
768,740 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 solution has a good interface and the integration with GitHub is very useful.""UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages.""Microsoft supported us when we planned to provision Azure Data Factory over a private link. As a result, we received excellent support from Microsoft.""Its integrability with the rest of the activities on Azure is most valuable.""The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.""The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability.""The user interface is very good. It makes me feel very comfortable when I am using the tool.""I am one hundred percent happy with the stability."

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"When it comes to the user interface, I'm already really used to it. I cannot say anything against it. For me, it's easy to use.""We needed a tool that was able to orchestrate and help us configure our APIs so that we could maintain and see the heartbeat, traffic, trends, etc.""Most of the work in our organization can be more easily done using the tool.""The messaging part is the most valuable feature.""What I found most valuable in webMethods Integration Server is that it's a strong ESB. It also has strong API modules and portals.""It's obvious that the heart of the product lies here. It's comprised of all aspects of ESB (Enterprise Gateway, Adapter, TN, Java) and BPM (task, rules engine).""From a user perspective, the feature which I like the most about Integration Server is its designer.""One [of the most valuable features] is the webMethods Designer. That helps our developers develop on their own. It's very intuitive for design. It helps our developers to speed the development of services for the integrations."

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Cons
"It can improve from the perspective of active logging. It can provide active logging information.""There is always room to improve. There should be good examples of use that, of course, customers aren't always willing to share. It is Catch-22. It would help the user base if everybody had really good examples of deployments that worked, but when you ask people to put out their good deployments, which also includes me, you usually got, "No, I'm not going to do that." They don't have enough good examples. Microsoft probably just needs to pay one of their partners to build 20 or 30 examples of functional Data Factories and then share them as a user base.""The Microsoft documentation is too complicated.""The solution needs to be more connectable to its own services.""Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters.""The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.""For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better.""When working with AWS, we have noticed that the difference between ADF and AWS is that AWS is more customer-focused. They're more responsive compared to any other company. ADF is not as good as AWS, but it should be. If AWS is ten out of ten, ADF is around eight out of ten. I think AWS is easier to understand from the GUI perspective compared to ADF."

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"In terms of scale, I would give it a four out of 10.""It is quite expensive.""A while ago, they were hacked, and it took them a very long time to open their website again in order to download any service packs or any features. I don't know what they could do differently. I know that they were vulnerable, and there was some downtime, but because they were down, we were unable to download any potential service packs.""The market webMethods Integration Server falls under is a very crowded market, so for the product to stand out, Software AG would need to get traction in the open source community by releasing a new version or a base version and open source it, so people can create new custom components and add it to the portfolio.""​Large file handling is pretty hard comparatively to other middleware tools.""The price should be reduced to make it more affordable.""The Software AG Designer could be more memory-efficient or CPU-efficient so that we can use it with middle-spec hardware.""The product needs to be improved in a few ways. First, they need to stabilize the components of the whole platform across versions. Also, they should stop replacing old components with brand new ones and, rather, improve by evolution."

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Pricing and Cost Advice
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "Initialy good pricing and good, if it comes to Enterprise license agreements."
  • "It is worth the cost."
  • "Always plan five years ahead and don’t jeopardize the quality of your project by dropping items from the bill of materials."
  • "Pricing has to be negotiated with the local Software AG representative. SAG can always prepare an appropriate pricing model for every client."
  • "Some of the licensing is "component-ized," which is confusing to new users/customers."
  • "It is expensive, but we reached a good agreement with the company. It is still a little bit expensive, but we got a better deal than the previous one."
  • "The pricing and licensing costs for webMethods are very high, which is the only reason that we might switch to another product."
  • "The vendor is flexible with respect to pricing."
  • More webMethods Integration Server Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer:The synchronous and asynchronous messaging system the solution provides is very good.
    Top Answer:Other products have been using AI and cloud enhancements, but webMethods Integration Server is still lagging in that key area. It's very good as a standalone integration server, but it has to come up… more »
    Ranking
    1st
    out of 100 in Data Integration
    Views
    26,170
    Comparisons
    20,469
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    Views
    3,421
    Comparisons
    2,391
    Reviews
    21
    Average Words per Review
    668
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    webMethods Integration Server is widely considered to be the best integration server available in the marketplace today. The solution can help users integrate everything and anything.

    webMethods Integration Server allows organizations to display and integrate existing and new business activities. The solution offers components that help users create, test, and install new services. webMethods Integration Server can automate, organize, and construct various gathered services and traditional legacy systems into productive value-added processes. webMethods Integration Server works as a secure platform for distributing and running services. The solution obtains and translates user requests, recognizes and records the requested service, translates and moves the data in the necessary format, receives the information back, and returns the information to the user in the appropriate original format. webMethods is the primary solution used by enterprise organizations for integrating functional coordination with application servers, custom applications, and databases. webMethods makes it easy for enterprise organizations to share electronic documents seamlessly.

    Users have several options to audit webMethods Integration Server processes using some of the component metrics below:

    • Adapters: Using the SOA extension for webMethods, users can easily monitor the performance of every adapter users have deployed. Available metrics include Adapter Services, Adapter Connection Pools, and Adapter Notifications nodes.

    • Business Processes: A business process is a process that uses a specific set of rules to perform tasks in a prescribed order. Many business processes depend on the successful integration of numerous systems, involving many people in varying roles. With the SOA extension for webMethods, users can easily monitor that workflow, ensuring that processes are being performed as defined.

    • Java Services: This includes services created in Java or in languages coordinated with Java.

    • WebServices: This includes services regarding webserver endpoints and performance.

    • XSLT Services: This service will allow users to transform XML data into other formats and includes the transformation to other services.

    • Thread Pools: This metric uses threads to conduct services, gather documents from the webMethods Broker, and initiate triggers. Documents can be published locally on the server or to the broker that will send the document out. A JMS trigger receives inbound messages and then processes those messages accordingly.

    Reviews from Real Users:

    “There are a few things about this product that we definitely like. It is very robust. If you build it nicely, you can't go wrong with it. It's rock solid. The development is very fast. If you know what you're doing, you can develop something very easy and very fast.” - Rohit S., Integration Lead at a wellness & fitness company

    “One of the most important features is that it gives you the possibility to do low-level integration. We can meet any requirements through customizations, transformations, or the logic that needs to be put in. When clients come to me with any problem, in about 99% of cases, I say, "Yes, it is feasible to do through webMethods." It has reached such a level of flexibility and maturity. Most of the things are available out of the box, and even if something is not available out of the box, we can customize it and deliver it for a client's requirements.” - Sushant D., IT specialist at Accenture

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    Fujitsu, Coca Cola, ING, Credit Suisse, Electrolux, GTA, CosmosDirekt
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Computer Software Company28%
    Manufacturing Company18%
    Financial Services Firm10%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company13%
    Manufacturing Company10%
    Retailer7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business21%
    Midsize Enterprise9%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise11%
    Large Enterprise70%
    Buyer's Guide
    Azure Data Factory vs. webMethods Integration Server
    May 2023
    Find out what your peers are saying about Azure Data Factory vs. webMethods Integration Server and other solutions. Updated: May 2023.
    768,740 professionals have used our research since 2012.

    Azure Data Factory is ranked 1st in Data Integration with 81 reviews while webMethods Integration Server is ranked 3rd in Enterprise Service Bus (ESB) with 60 reviews. Azure Data Factory is rated 8.0, while webMethods Integration Server is rated 8.0. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of webMethods Integration Server writes "Event-driven with lots of helpful formats, but minimal learning resources available". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and Microsoft Azure Synapse Analytics, whereas webMethods Integration Server is most compared with IBM Integration Bus, webMethods.io Integration, Mule ESB, TIBCO BusinessWorks and IBM WebSphere Message Broker. See our Azure Data Factory vs. webMethods Integration Server report.

    We monitor all 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.