Azure Data Factory vs Informatica PowerExchange [EOL] comparison

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Microsoft and Informatica are both solutions in the Data Integration category. 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 97 Azure Data Factory reviews

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11,255 Comparison Views

92% willing to recommend

Informatica PowerExchange [...

Read 23 Informatica PowerExchange [EOL] reviews

90% willing to recommend

Azure Data Factory

Informatica PowerExchange [...

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 8, 2026

Informatica PowerExchange [EOL] and Azure Data Factory are key competitors in the data integration market. Informatica PowerExchange has an advantage in scenarios needing high-performance batch processing and integration with non-standard sources, while Azure Data Factory stands out in pipeline management and cloud integration.

Features: Informatica PowerExchange is known for its high-performance batch processing, integration with SAP and Hana products, and robust transformation capabilities, especially when paired with Teradata. Azure Data Factory excels in flexibility, fast performance, and seamless integration with Azure components, making it efficient for creating intuitive ETL pipelines.

Room for Improvement: Users of Informatica PowerExchange [EOL] have highlighted the need for pricing and real-time data processing improvements, along with simplification in configuration and better metadata management. Azure Data Factory users suggest enhancements in monitoring tools, more user-friendly features, and increased connector support. They also seek improvements in its pricing model and documentation.

Ease of Deployment and Customer Service: Informatica PowerExchange [EOL] is primarily on-premises with some hybrid deployments and has generally reliable support but occasionally suffers from slow response times. Azure Data Factory is predominantly a public cloud service, praised for its ease of deployment in cloud environments, though variability in customer support efficiency has been noted.

Pricing and ROI: Informatica PowerExchange [EOL] offers a clear pricing model and brings value through efficient API reduction, despite being expensive. Users find it cost-effective in digital transformation endeavors. Azure Data Factory uses a usage-based pricing model, which can be cost-effective but sometimes unpredictable, suiting scalable operations better due to its adaptable pricing structure.

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

Buyer's Guide

Data Integration

October 2026

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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

5.3

Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.

Sentiment score

7.9

Informatica PowerExchange boosts decision-making and ROI through streamlined data management and cost-effective integration across data sources.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

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.

Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Customer Service

Sentiment score

6.2

Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.

Sentiment score

7.1

Feedback on Informatica PowerExchange support is mixed, with praise for reliability but concern over response times, averaging 7-8/10 ratings.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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.

reviewer2145525

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

Informatica's technical support team is very supportive and provides help whenever required.

Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

The support was good enough, and they were able to resolve all the issues I raised in the past.

Xitiz Pugalia

Senior Analyst at North Oil Company

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Scalability Issues

Sentiment score

7.3

Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.

Sentiment score

7.0

Informatica PowerExchange is scalable for big data, though some find limitations in flexibility and high availability.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

For more quotes and insights, download the Azure Data Factory report

No quotes available

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Stability Issues

Sentiment score

7.8

Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.

Sentiment score

7.7

Informatica PowerExchange [EOL] is reliable but needs improvements in handling high loads, error clarity, and log visibility.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It gives me the accurate result.

Kunal Das

Test Engineer at Happiest Minds Technologies

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

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.

Xitiz Pugalia

Senior Analyst at North Oil Company

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.

Informatica PowerExchange needs improved integration, user-friendliness, and enhancements in big data, real-time processing, and automation capabilities.

The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

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.

Kunal Das

Test Engineer at Happiest Minds Technologies

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

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.

Xitiz Pugalia

Senior Analyst at North Oil Company

The addition of data quality dashboards or measures would also help in profiling data to assess its health before sharing or moving it.

Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.

Informatica PowerExchange pricing is capacity-based with moderate to high costs, favored for integration capabilities and cost efficiency.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

For more quotes and insights, download the Azure Data Factory report

The pricing and cost depend heavily on SAP's licensing structure, especially if using SAP integration services.

reviewer2145525

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

Informatica PowerExchange is considered cost-efficient due to reduced number of APIs needed.

Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

For more quotes and insights, download the Informatica PowerExchange [EOL] report

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.

Informatica PowerExchange [EOL] excels in data transformation, connectivity, and integration, efficiently handling large data volumes with flexibility.

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

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.

Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

PowerExchange is one of the best software solutions to build integrations with non-Oracle or standard database services, especially for SAP and Hana products.

reviewer2145525

IT Manager - Data Quality and Migration at a manufacturing company with 10,001+ employees

The primary advantage of Informatica PowerExchange is being able to extract data from source systems that Informatica does not natively support.

Xitiz Pugalia

Senior Analyst at North Oil Company

For more quotes and insights, download the Informatica PowerExchange [EOL] report

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)

Informatica PowerExchange [...

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

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.

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Haider-AlAmeed

Sr. IT & Data Governance and Management Consultant & Technical Lead at a government with 51-200 employees

Facilitates seamless data exchange for Middle Eastern government entities while reducing costs and simplifying integration processes

Informatica PowerExchange is important for services and common services implementations. This allows workflow communication between different entities, providing proper services. The tool's governance features include HA rules, responsibilities, and policies which are highly valued. It also reduces the number of APIs needed for new integrations by offering a unified exchange platform that facilitates easy-to-use services without the need for coding.

Read full review

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

11%

Outsourcing Company

Computer Software Company

Financial Services Firm

15%

Outsourcing Company

Construction Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	12

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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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

What is your primary use case for Informatica PowerExchange?

We utilize Informatica PowerExchange ( /products/informatica-powerexchange-reviews ) for data sharing and data monitoring across government entities in the Middle East. The tool facilitates data ex...

See all answers

Comparisons

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Compared 3% of the time

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Informatica PowerCenter vs Informatica PowerExchange [EOL]

Compared 9% of the time

SSIS vs Informatica PowerExchange [EOL]

Compared 7% of the time

Oracle Data Integrator (ODI) vs Informatica PowerExchange [EOL]

Compared 6% of the time

SharePlex vs Informatica PowerExchange [EOL]

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerExchange [EOL]

Compared 4% of the time

More Informatica PowerExchange [EOL] Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2026

Download Azure Data Factory product report

Buyer's Guide

Informatica PowerExchange [EOL]

October 2026

Download Informatica PowerExchange [EOL] 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 [EOL] offers advanced data integration capabilities, emphasizing data transformation, real-time integration, and connectivity to diverse data sources, ensuring seamless access and management of big data in complex environments.

Informatica PowerExchange [EOL] is a robust tool for managing data integration and transformation processes. It supports connectivity to numerous sources, enabling real-time data capture and transformation. With native connectors and APIs, it allows seamless integration, ensuring data mapping across data formats. While strong at data handling and integration, improvements in pricing, real-time processing, and enhanced technical support are necessary. Expanded cloud integration and improved high availability will further bolster its efficiency in managing extensive datasets, supporting ETL, and integrating systems like SAP.

What are the most important features of Informatica PowerExchange?

Data Transformation: Facilitates complex data mappings across formats.
Diverse Connectivity: Connects to multiple data sources, including non-native systems.
Real-Time Integration: Offers real-time data capture and processing capabilities.
Pushdown Optimization: Enhances performance by leveraging native database capabilities.
Change Data Capture: Supports incremental data updates, improving data freshness.

What benefits should be considered?

Scalability: Handles big data volumes efficiently, allowing for future growth.
Workflow Communication: Governance features streamline workflows and reduce API dependence.
Integration Flexibility: Supports integration with SAP and Hana, improving data management.
Fast Updates: Provides timely updates to integrated systems, enhancing decision-making.

Informatica PowerExchange [EOL] is implemented widely in sectors requiring robust data integration solutions. It serves industries such as finance, healthcare, and retail, facilitating the creation of data warehouses and lakes. Used for ETL processes and operational analytics, it integrates systems like Hadoop, Oracle, and legacy environments, driving efficient communication and information sharing.

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

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