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Azure Data Factory vs webMethods.io comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.1
Azure Data Factory automates data processes, cuts costs, and improves efficiency, offering potential ROI of 20%-30% over five years.
Sentiment score
7.1
Automating tasks reduced expenses, downtime, and labor needs, with significant time savings and positive returns outperforming competitors.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is responsive and helpful, though response times and efficiency vary based on issue complexity and support package.
Sentiment score
6.6
webMethods.io's customer service is responsive and helpful but occasionally slow for complex issues, with some variability in experiences.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is scalable and flexible for enterprises, though some concerns about costs and external integration exist.
Sentiment score
7.2
webMethods.io offers scalable solutions with easy cluster additions and CPU enhancements, though some challenges in connectors and on-premise setups exist.
Azure Data Factory is highly scalable.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is reliable, scoring 8-9/10, though some report occasional glitches or slowdowns under heavy loads.
Sentiment score
7.7
webMethods.io is praised for its stability, reliability, and performance, with minimal downtime and effective long-term integration.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory needs better integration, simplified UI, improved connectivity, enhanced support, clearer pricing, and performance scalability for large data.
webMethods.io needs improved support, scalability, affordability, UI, logging, monitoring, version control, AI integration, and simplified processes.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
 

Setup Cost

Azure Data Factory has complex pricing, with costs varying widely due to usage, data volume, and additional services.
webMethods.io is seen as expensive but offers flexible licensing, making it suitable for larger businesses but costly for small firms.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory provides scalable data transformation, integration, and orchestration with user-friendly interface and extensive connector support.
webMethods.io features efficient design, robust EDI, versatile integration, strong security, and flexible event-driven architecture for diverse applications.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
88
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
webMethods.io
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
91
Ranking in other categories
Business-to-Business Middleware (4th), Enterprise Service Bus (ESB) (3rd), Managed File Transfer (MFT) (10th), API Management (9th), Cloud Data Integration (8th), Integration Platform as a Service (iPaaS) (5th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Michele Illiano - PeerSpot reviewer
Can function as an ESB along with the core product, with decent integration of message protocols
I have noticed that webMethods ActiveTransfer has had problems when handling large files. For example, when we receive (and perform operations on) files that are larger than about 16 MB, the software starts losing performance. This is why, for most customers who have to deal with big files, I suggest that they use a product other than ActiveTransfer. I would like to note that this problem mainly concerns large files that undergo extra operations, such assigning, unassigning, or file translation. When these operations take place on large files, ActiveTransfer will use up a lot of resources. Within the product itself, I also believe that there is room for improvement in terms of optimization when it comes to general performance. I suspect that the issues underlying poor optimization are because it is all developed in Java. That is, all the objects and functions that are used need to be better organized, especially when it comes to big files but also overall. webMethods ActiveTransfer was born as an ESB to handle messages, and these messages were typically very short, i.e. small in size. A message is data that you have to send to an application, where it must be received in real-time and possibly processed or acknowledged elsewhere in the system as well. So, because it was initially designed for small messages, it struggles with performance when presented with very large files. All this to say, I suggest that they have an engineer reevaluate the architecture of the product in order to consider cases where large files are sent, and not only small ones. As for new features, compared to other products in the market, I think Software AG should be more up to date when it comes to extra protocol support, especially those protocols that other solutions have included in their products by default. Whenever we need to add an unsupported protocol, we have to go through the effort of custom development in order to work with it. Also, all the banks are obligated to migrate to the new standards, and big companies are all handling translations and operating their libraries with the new protocol formats. But webMethods ActiveTransfer doesn't seem to be keeping up with this evolution. Thus, they should aim to be more compliant in future, along the lines of their competitors such as IBM and Primeur.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
12%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
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 an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
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 Q...
What do you like most about Built.io Flow?
The tool helps us to streamline data integration. Its BPM is very strong and powerful. The solution helps us manage digital transformation.
What is your experience regarding pricing and costs for Built.io Flow?
webMethods.io is expensive. We have multiple components, and you need to pay for each of them.
What needs improvement with Built.io Flow?
webMethods.io needs to incorporate ChatGPT to enhance user experience. It can offer a customized user experience.
 

Also Known As

No data available
Built.io Flow, webMethods Integration Server, webMethods Trading Networks, webMethods ActiveTransfer, webMethods.io API
 

Learn More

Video not available
 

Overview

 

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
Cisco, Agralogics, Dreamforce, Cables & Sensors, Sacramento Kings
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: December 2024.
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