Azure Data Factory vs Magic xpi Integration Platform comparison

Why PeerSpot?

The compared Microsoft and Magic Software solutions aren't in the same category. Microsoft is ranked #6 in DI , with an average rating of 8.0, and holds a 2.2% mindshare in the category. Magic Software is ranked #32 in PaaS , and holds a 1.1% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution.

Azure Data Factory

Read 97 Azure Data Factory reviews

16,078 Views
11,255 Comparison Views

92% willing to recommend

Magic xpi Integration Platform

Read 1 Magic xpi Integration Platform review

1,624 Views
763 Comparison Views

0% willing to recommend

Azure Data Factory

Magic xpi Integration Platform

Comparison Buyer's Guide

Download the report

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 Informatica, Microsoft, Palantir and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: October 2026).

Buyer's Guide

Data Integration

October 2026

Download the complete report

Helped 920,769 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (6th), Cloud Data Warehouse (8th)

Magic xpi Integration Platform

Average Rating

3.0

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (32nd)

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 2.2%, down 4.4% compared to last year.
Magic xpi Integration Platform, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 1.1% mindshare, up 0.8% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
Other	90.0%

Data Integration

Integration Platform as a Service (iPaaS) Mindshare Distribution
Product	Mindshare (%)
Magic xpi Integration Platform	1.1%
MuleSoft Anypoint Platform	6.8%
Boomi iPaaS	6.6%
Other	85.5%

Integration Platform as a Service (iPaaS)

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

Read full review

it_user977634

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

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…

Read full review

Quotes from Members

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

Pros

"The most valuable feature is the ease in which you can create an ETL pipeline."

"The solution can scale very easily."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

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

"It makes it easy to collect data from different sources."

"The user interface is very good. It makes me feel very comfortable when I am using the tool."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

"Its integrability with the rest of the activities on Azure is most valuable."

More Azure Data Factory pros

"The stability of the solution is OK."

Cons

"The initial setup is not very straightforward."

"I do not have any notes for improvement."

"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."

"DataStage is easier to learn than Data Factory because it's more visual."

"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."

"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."

"I rate Azure Data Factory six out of 10 for stability. ADF is stable now, but we had problems recently with indexing on an SQL database. It's slow when dealing with a huge volume of data. It depends on whether the database is configured as general purpose or hyperscale."

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

More Azure Data Factory cons

"It is not performing well."

"It does not perform well. It needs more reusable components that are unlimited in time."

Pricing and Cost Advice

"Pricing appears to be reasonable in my opinion."

"The solution is cheap."

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

"ADF is cheaper compared to AWS."

"The price is fair."

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

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

"It's not particularly expensive."

More Azure Data Factory pricing and cost advice

Information not available

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

10%

Outsourcing Company

Computer Software Company

Construction Company

26%

Printing Company

13%

Outsourcing Company

13%

Financial Services Firm

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

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...

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

Ask a question

Earn 20 points

Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

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

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

MuleSoft Anypoint Platform vs Magic xpi Integration Platform

Compared 15% of the time

Qlik Talend Cloud vs Magic xpi Integration Platform

Compared 12% of the time

BMC AMI DevX vs Magic xpi Integration Platform

Compared 9% of the time

TIBCO Spotfire vs Magic xpi Integration Platform

Compared 8% of the time

Boomi iPaaS vs Magic xpi Integration Platform

Compared 4% of the time

More Magic xpi Integration Platform Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

October 2026

Download Magic xpi Integration Platform product report

Also Known As

No data available

Magic xpi Integration Platform, iBOLT

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.

Microsoft

Magic xpi Integration Platform provides seamless connectivity and automation for businesses seeking efficient integration of their software applications across diverse systems.

Magic xpi offers a robust environment for developing integration projects with its code-free approach. It supports a wide array of connectivity options and enhances efficiency by automating business processes. By leveraging its versatility, it connects cloud services with on-premise systems, thus enabling comprehensive integration capabilities.

What are the most important features of Magic xpi Integration Platform?

Code-free Integration: Simplifies complex integrations with a visual drag-and-drop interface.
Comprehensive Connectivity: Ensures broad connectivity options for various systems and platforms.
Business Process Automation: Streamlines workflows by automating routine tasks.
Robust Security: Incorporates measures to protect data across integrated systems.
Scalability: Offers a scalable solution to accommodate growing business requirements.

What benefits should users look for in reviews?

Efficiency: Users report improved operational efficiency with streamlined integration.
Cost-effectiveness: Lowers long-term costs through automation and reduced manual intervention.
Flexibility: Adapts to specific business needs with customizable options and integrations.
Support and Reliability: Offers strong vendor support and reliable performance according to users.

Magic xpi is implemented widely in industries such as manufacturing, retail, and healthcare. It enables manufacturers to optimize supply chains, retailers to synchronize online and offline operations, and healthcare providers to integrate patient management systems. Its industry-specific adaptations make it an ideal choice for addressing targeted business challenges.

Magic Software

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

Godrej Properties

Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: October 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

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.