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Azure Data Factory vs Informatica PowerExchange comparison

Microsoft and Informatica are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Informatica is ranked #13 with an average rating of 8.3. Microsoft holds a 5.2% mindshare in DI, compared to Informatica’s 1.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 90% of Informatica users who would recommend it.
Azure Data Factory
Read 92 Azure Data Factory reviews
  • 13,131 Views
  • 9,192 Comparison Views
92% willing to recommend
Informatica PowerExchange
Read 23 Informatica PowerExchange reviews
  • 1,495 Views
  • 1,360 Comparison Views
90% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Informatica PowerExchange and Azure Data Factory are competitors in the data integration and transformation market. Based on various aspects, Azure Data Factory appears to have an edge due to its cloud integration capabilities and user-friendly experience, catering to a modern cloud-centric approach.

Features: Informatica PowerExchange offers robust data transformation, real-time capabilities, and extensive connectivity with diverse systems, making it highly valuable for handling large data volumes and complex environments. Azure Data Factory stands out with ease of integration, scalability, a wide range of connectors, and seamless compatibility with Microsoft's ecosystem, enhancing its application for cloud-oriented data transformations.

Room for Improvement: Informatica PowerExchange users point out integration challenges, seeking improvements in real-time processing and pricing structures. Enhanced support for newer data types is also desired. Azure Data Factory could benefit from better integration with Azure Machine Learning, broader API support, improvements in real-time processing, pricing transparency, and user interface enhancements.

Ease of Deployment and Customer Service: Informatica PowerExchange, primarily on-premises, focuses on legacy support and reliability but involves complex management. It receives mixed feedback on customer support regarding response times. Azure Data Factory operates in the cloud, offering deployment flexibility, especially in Azure-centric conditions, and garners positive user feedback though some improvement in support response times is noted.

Pricing and ROI: Informatica PowerExchange uses a capacity-based pricing model, perceived as high but justified by its extensive features, offering significant ROI through process efficiency. Azure Data Factory employs a usage-based pricing model, aligning costs with demand. It is seen as more cost-effective for scalable use cases, providing flexibility for dynamic projects.

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To learn more, read our detailed Azure Data Factory vs. Informatica PowerExchange Report (Updated: September 2025).
Buyer's Guide
Azure Data Factory vs. Informatica PowerExchange
September 2025
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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
6.8
Azure Data Factory offers cost-effective, efficient data consolidation for actionable insights, saving time and resources compared to manual processes.
Sentiment score
7.9
Informatica PowerExchange enables smarter decisions, streamlines data pipelines, and saves costs, showing ROI within weeks for digital transformation.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
For more quotes and insights, download the Azure Data Factory report
It is considered cost-efficient because it leads to the re-utilization of channels and platforms, which saves time and money.
For more quotes and insights, download the Informatica PowerExchange report
 

Customer Service

Sentiment score
6.4
Azure Data Factory support is generally satisfactory, with responsive assistance, though some users report delays or costly consulting.
Sentiment score
7.1
Informatica PowerExchange support is seen as knowledgeable but receives mixed reviews due to varying response times and availability.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
For more quotes and insights, download the Azure Data Factory report
Their support aligns with what I have experienced with Informatica data quality teams, and it is quite effective.
Informatica's technical support team is very supportive and provides help whenever required.
The support was good enough, and they were able to resolve all the issues I raised in the past.
For more quotes and insights, download the Informatica PowerExchange report
Joy Maitra - PeerSpot reviewerBrian Sullivan - PeerSpot reviewerRama Subba Reddy Thavva - PeerSpot reviewerreviewer2145525 - PeerSpot reviewer
HA
XP
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory is highly scalable and flexible but has room for improvement with third-party integrations and large datasets.
Sentiment score
7.0
Informatica PowerExchange offers robust scalability for diverse sources and transformations, suitable for medium to large data environments.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is stable and reliable, with occasional issues in responsiveness and large dataset handling.
Sentiment score
7.7
Informatica PowerExchange is praised for stability despite some issues with resource load, visibility, and log maintenance in newer versions.
The solution has a high level of stability, roughly a nine out of ten.
For more quotes and insights, download the Azure Data Factory report
Technical errors sometimes occur, such as network breakages at the source level, which breaks connectivity.
For more quotes and insights, download the Informatica PowerExchange report
 

Room For Improvement

Azure Data Factory needs better integration, scheduling, support, AI features, and user interface improvements for efficient data management.
Informatica PowerExchange needs better integration, user-friendliness, real-time processing, cloud features, and affordability while addressing performance and support challenges.
There is a problem with the integration with third-party solutions, particularly with SAP.
The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
For more quotes and insights, download the Azure Data Factory report
One area that could be improved is performance, as PowerExchange sometimes has less performance compared to native connectors when dealing with a huge volume of data.
The addition of data quality dashboards or measures would also help in profiling data to assess its health before sharing or moving it.
For more quotes and insights, download the Informatica PowerExchange report
Rama Subba Reddy Thavva - PeerSpot reviewer
DT
Joy Maitra - PeerSpot reviewer
XP
HA
 

Setup Cost

Azure Data Factory offers competitive, flexible pricing based on usage, with costs integrating Azure services and varying significantly.
Informatica PowerExchange pricing depends on capacity, with variable costs based on usage, but offers moderate cost-efficiency.
The pricing is cost-effective.
It is considered cost-effective.
For more quotes and insights, download the Azure Data Factory report
Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed.
The pricing and cost depend heavily on SAP's licensing structure, especially if using SAP integration services.
For more quotes and insights, download the Informatica PowerExchange report
Brian Sullivan - PeerSpot reviewerJoy Maitra - PeerSpot reviewer
HA
reviewer2145525 - PeerSpot reviewer
 

Valuable Features

Azure Data Factory excels in data integration with user-friendly features, scalability, and over 100 connectors for seamless data movement.
Informatica PowerExchange is lauded for versatile data integration, real-time capabilities, scalability, and support for diverse data sources and formats.
The orchestration features in Azure Data Factory are definitely useful, as it is not only for Azure Data Factory; we can also include DataBricks and other services for integrating the data solution, making it a very beneficial feature.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
It connects to different sources out-of-the-box, making integration much easier.
For more quotes and insights, download the Azure Data Factory report
It also reduces the number of APIs needed for new integrations by offering a unified exchange platform.
PowerExchange is one of the best software solutions to build integrations with non-Oracle or standard database services, especially for SAP and Hana products.
The primary advantage of Informatica PowerExchange is being able to extract data from source systems that Informatica does not natively support.
For more quotes and insights, download the Informatica PowerExchange report
KandaswamyMuthukrishnan - PeerSpot reviewer
DT
Joy Maitra - PeerSpot reviewer
HA
reviewer2145525 - PeerSpot reviewer
XP
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (2nd)
Informatica PowerExchange
Ranking in Data Integration
13th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
23
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Integration category, the mindshare of Azure Data Factory is 5.2%, down from 11.0% compared to the previous year. The mindshare of Informatica PowerExchange is 1.2%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory5.2%
Informatica PowerExchange1.2%
Other93.6%
Data Integration
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
Read full review
Mohammad Faizan Ahmad - PeerSpot reviewer
Helpful in handling areas like complex data sources and data processing but needs improved support services
The major challenge with the tool stems from the fact that if you are implementing it in the cloud, then it has to be within the framework. Another challenge is the large volume of data. Informatica PowerExchange is a product through which we enable connectivity, so it is not an application product or a stand-alone tool, but Informatica's core systems or IICS uses it to connect to multiple systems. The major challenge associated with the tool is on the infrastructure side. The tool's features could be something faster with more connectors. A number of connectors can help connect to a wide variety of applications. The tool should focus on reducing the resilient time, like, if any network disconnectivity happens, then auto-reconnection and the retry method should be more robust so that manual intervention is not required. We communicate with the tool's support team as we need to raise our issues with them. I have already worked with Informatica and have a total experience of around eight to nine years; the one problem with the tool is its support team since they take a lot of time to address a particular issue. If one time you schedule a call and explain the situation to them about the issue, the support team will raise tickets and take notes. They will ask you to share the logs or screenshots of the errors, and you will get no resolution. The support team will randomly give you some documents and expect you to go through them, and if you get back to them with questions, a new person will be allocated, and you will have to start explaining everything again. I would not say it is a pleasant experience.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
Financial Services Firm
27%
Computer Software Company
8%
Government
7%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise55
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise3
Large Enterprise12
 

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 Informatica PowerExchange?
The product’s flexibility is valuable.
See all answers
What is your experience regarding pricing and costs for Informatica PowerExchange?
Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed, enabling re-utilization of existing channels, cutting down on development and training costs.
See all answers
What needs improvement with Informatica PowerExchange?
It would be helpful to have more metadata provided, which is useful for engaging more users in data exchange. The addition of data quality dashboards or measures would also help in profiling data t...
See all answers
 

Comparisons

Snowflake vs Azure Data Factory Logo
Snowflake vs Azure Data Factory
Compared 9% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory
Compared 7% of the time
Informatica PowerCenter vs Azure Data Factory Logo
Informatica PowerCenter vs Azure Data Factory
Compared 6% of the time
FME vs Azure Data Factory Logo
FME vs Azure Data Factory
Compared 6% of the time
Palantir Foundry vs Azure Data Factory Logo
Palantir Foundry vs Azure Data Factory
Compared 5% of the time
More Azure Data Factory Competitors
Informatica PowerCenter vs Informatica PowerExchange Logo
Informatica PowerCenter vs Informatica PowerExchange
Compared 64% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerExchange Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerExchange
Compared 12% of the time
Oracle GoldenGate vs Informatica PowerExchange Logo
Oracle GoldenGate vs Informatica PowerExchange
Compared 9% of the time
Qlik Replicate vs Informatica PowerExchange Logo
Qlik Replicate vs Informatica PowerExchange
Compared 5% of the time
AWS Database Migration Service vs Informatica PowerExchange Logo
AWS Database Migration Service vs Informatica PowerExchange
Compared 5% of the time
More Informatica PowerExchange Competitors
 

Product Reports

Buyer's Guide
Azure Data Factory
September 2025
Azure Data Factory reportDownload Azure Data Factory product report
Buyer's Guide
Informatica PowerExchange
September 2025
Informatica PowerExchange reportDownload Informatica PowerExchange product report
 

Also Known As

No data available
PowerExchange, Connectors
 

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

Informatica PowerExchange Connectors provides high performance, out-of-the-box connectivity without having to develop custom data access programs.

Informatica
 

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
ACH Food, BNSF Railway Company, Illinois State University
Buyer's Guide
Azure Data Factory vs. Informatica PowerExchange
September 2025
Free Report: Azure Data Factory vs. Informatica PowerExchange
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