Azure Data Factory vs Magic xpi Integration Platform comparison

The compared Microsoft and Magic Software solutions aren't in the same category. Microsoft is ranked #1 in DI , with an average rating of 8.0, and holds a 11.1% mindshare in the category. Magic Software is ranked #23 in PaaS , and holds a 0.3% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution.

Azure Data Factory

Read 85 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

91% willing to recommend

Magic xpi Integration Platform

Read 1 Magic xpi Integration Platform review

87 Views
72 Comparison Views

0% willing to recommend

Azure Data Factory

Magic xpi Integration Platform

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Executive Summary

We performed a comparison between Azure Data Factory and Magic xpi Integration Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.

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

Buyer's Guide

Data Integration

October 2024

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Categories and Ranking

Azure Data Factory

Average Rating

8.0

Number of Reviews

Ranking in other categories

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

Magic xpi Integration Platform

Average Rating

3.0

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (23rd)

Mindshare comparison

Azure Data Factory and Magic xpi Integration Platform aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 11.1%, down 13.3% compared to last year.
Magic xpi Integration Platform, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 0.3% mindshare, down 0.4% since last year.

Data Integration

Integration Platform as a Service (iPaaS)

Featured Reviews

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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it_user977634

Enterprise IT Architect at a consumer goods company with 1,001-5,000 employees

Jan 17, 2019

A low-performing integration tool

We use it as an in-house back-type integration tool. It allows us to have different integrations between different systems It does not perform well. It needs more reusable components that are unlimited in time. Furthermore, it relies on the files systems and does not create components, so it is…

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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 initial setup is very quick and easy."

"The flexibility that Azure Data Factory offers is great."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"Azure Data Factory's most valuable features are the packages and the data transformation that it allows us to do, which is more drag and drop, or a visual interface. So, that eases the entire process."

"It is a complete ETL Solution."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"It is very modular. It works well. We've used Data Factory and then made calls to libraries outside of Data Factory to do things that it wasn't optimized to do, and it worked really well. It is obviously proprietary in regards to Microsoft created it, but it is pretty easy and direct to bring in outside capabilities into Data Factory."

"The solution has a good interface and the integration with GitHub is very useful."

More Azure Data Factory pros

"The stability of the solution is OK."

Cons

"Lacks a decent UI that would give us a view of the kinds of requests that come in."

"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"The deployment should be easier."

"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."

"It can improve from the perspective of active logging. It can provide active logging information."

"It does not appear to be as rich as other ETL tools. It has very limited capabilities."

"When the record fails, it's tough to identify and log."

More Azure Data Factory cons

"It is not performing well."

Pricing and Cost Advice

"Product is priced at the market standard."

"Pricing is comparable, it's somewhere in the middle."

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

"Pricing appears to be reasonable in my opinion."

"Data Factory is affordable."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"Understanding the pricing model for Data Factory is quite complex."

"The licensing cost is included in the Synapse."

More Azure Data Factory pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Computer Software Company

23%

Retailer

16%

Manufacturing Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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...

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Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Mule ESB vs Magic xpi Integration Platform

Compared 100% of the time

More Magic xpi Integration Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

October 2024

Download Magic xpi Integration Platform product report

Also Known As

No data available

Magic xpi Integration Platform, iBOLT

Learn More

Microsoft

Magic Software

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.

Magic xpi Integration Platform is a total solution for integrating, automating and transforming the data of your business applications. The intuitive and easy-to-use interface, including 100+ pre-built connectors, makes it ideal for all types of users, from business users and citizen integrators to IT experts. Magic’s end-to-end tailored solutions are a great fit for all types of IT infrastructures, supporting all of the on-premise, cloud and hybrid integration needs of organizations around the world.

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

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Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2024.

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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.