Azure Data Factory vs webMethods.io comparison

Microsoft and IBM are both solutions in the Cloud Data Integration category. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 94% of IBM users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

25,195 Views
19,988 Comparison Views

91% willing to recommend

webMethods.io

Read 91 webMethods.io reviews

1,638 Views
1,086 Comparison Views

94% willing to recommend

Azure Data Factory

webMethods.io

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Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.

To learn more, read our detailed Cloud Data Integration Report (Updated: August 2024).

Buyer's Guide

Cloud Data Integration

August 2024

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Helped 805,335 peers since 2012

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

Data Integration (1st), Cloud Data Warehouse (3rd)

webMethods.io

Average Rating

8.0

Number of Reviews

Ranking in other categories

Business-to-Business Middleware (4th), Enterprise Service Bus (ESB) (3rd), Managed File Transfer (MFT) (10th), API Management (10th), Cloud Data Integration (6th), Integration Platform as a Service (iPaaS) (4th)

Featured Reviews

IbrahimRasras1

Independent consultant at a hospitality company with 1-10 employees

Jul 9, 2024

Has a user-friendly interface and robust data-monitoring capabilities

The platform simplifies data access and visualization with minimal coding, catering to various data management needs across different client projects The product centralizes data workflows, enhancing data integration efficiency and visualization for comprehensive analysis. The platform excels in…

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Rahul Jayakumar Lekha

Integration Lead at a financial services firm with 10,001+ employees

Oct 21, 2022

Good designer and helpful support, but can be buggy

The solution can be buggy. If I compare it with IBM, before webMethods, we were using IBM DataPower. To be frank, DataPower had very, very minimal bugs. You may have one or two bugs in maybe a year, whereas with Integration Server, with customizations, it comes with all these caveats. We had to go back to support a bit for help. Support is expensive. There is not any capability as a managed service. Maybe a managed service would help people to use it. Or apart from that, I would also say there is a containerized microservices version, yet it is not in a usable format. If you look at a Kubernetes environment, if you want to have a containerized application running in Integration Server, it's still quite very heavy. Maybe webMethods should look at that perspective as well to run a pure proper cloud-native environment. If you look at Spring Boot or maybe a similar open-source application, you can easily containerize and run Kubernetes. In Integration Server, it's not very easy.

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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

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"I can do everything I want with SSIS and Azure Data Factory."

"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."

"It is beneficial that the solution is written with Spark as the back end."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

More Azure Data Factory pros

"The product is very stable."

"There were no complexities involved in the setup phase...The product is able to meet my company's API protection needs."

"I like the stability of the webMethods Integration Server."

"webMethods platform is used to build an EAI platform, enabling communication between many internal systems and third-party operators."

"I like the solution's policies, transformation, mediation, and routing features."

"The solution's ease-of-use is its most valuable feature, in which complex issues may be resolved."

"There's hardware, software and application integration, providing hosting flexibility."

"Clients choose webMethods.io API for its intuitive interface, promoting seamless interaction and quick communication between systems."

More webMethods.io pros

Cons

"The product integration with advanced coding options could cater to users needing more customization."

"Data Factory's cost is too high."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

"Azure Data Factory can improve by having support in the drivers for change data capture."

"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."

"The initial setup is not very straightforward."

"We require Azure Data Factory to be able to connect to Google Analytics."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

More Azure Data Factory cons

"As webMethods Integration Server is expensive, that's its area for improvement."

"wM SAP Adapter User Guide - Example, like Message Broker setup was unclear, leading to issues during Testing and we had refer the internet forums to understand that there is a Message Broker Cleanup utility and that needs to be setup as well."

"The Software AG Designer could be more memory-efficient or CPU-efficient so that we can use it with middle-spec hardware."

"Need to see more API portal features like monetizing APIs and private cloud readiness."

"I would like to see the price improve."

"The installation process should be simplified for first time users and be made more user-friendly."

"This product has too many gaps. You find them after update installations. This should be covered by automatic testing."

"We'd like for them to open up to a more cloud-based solution that could offer more flexibility and maybe a better rules engine or more integration with rules engines."

More webMethods.io cons

Pricing and Cost Advice

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"Pricing appears to be reasonable in my opinion."

"The solution is cheap."

"The cost is based on the amount of data sets that we are ingesting."

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"Data Factory is affordable."

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."

"I would rate Data Factory's pricing nine out of ten."

More Azure Data Factory pricing and cost advice

"webMethods.io Integration's pricing is high and has yearly subscription costs."

"It is an expensive tool. I rate the product price a nine out of ten, where ten means it is very expensive."

"It is a cost-effective solution."

"The price is high and I give it a five out of ten."

"I signed a three-year deal with them. It is a yearly locked-in price for the next three years."

"Pricing has to be negotiated with the local Software AG representative. SAG can always prepare an appropriate pricing model for every client."

"Pricing is the number-one downfall. It's too expensive. They could make more money by dropping the price in half and getting more customers. It's the best product there is, but it's too expensive."

"Some who consider this solution often avoid it due to its high price."

More webMethods.io pricing and cost advice

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805,335 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

13%

Financial Services Firm

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

12%

Retailer

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.

See all answers

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...

See all answers

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...

See all answers

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.

See all answers

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.

See all answers

What needs improvement with Built.io Flow?

webMethods.io needs to incorporate ChatGPT to enhance user experience. It can offer a customized user experience.

See all answers

Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 9% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

IBM Integration Bus vs webMethods.io

Compared 7% of the time

Apigee vs webMethods.io

Compared 7% of the time

IBM App Connect vs webMethods.io

Compared 4% of the time

Mule ESB vs webMethods.io

Compared 4% of the time

SAP Cloud Platform vs webMethods.io

Compared 4% of the time

More webMethods.io Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2024

Download Azure Data Factory product report

Buyer's Guide

webMethods.io

August 2024

Download webMethods.io product report

Also Known As

No data available

Built.io Flow, webMethods Integration Server, webMethods Trading Networks, webMethods ActiveTransfer, webMethods.io API

Learn More

Microsoft

Video not available

IBM

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.io Integration is a powerful integration platform as a service (iPaaS) that provides a combination of capabilities offered by ESBs, data integration systems, API management tools, and B2B gateways.

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

Buyer's Guide

Cloud Data Integration

August 2024

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