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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
7.1
Azure Data Factory offers significant time, effort, and infrastructure savings, enhancing data analysis and decision-making capabilities.
Sentiment score
7.1
Informatica Cloud enhances data quality and processes, with ROI influenced by master data, change management, and adoption rates.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is praised for responsiveness, though some report delays; satisfaction varies with Microsoft partnerships.
Sentiment score
6.8
Informatica offers strong support, praised for expertise but needing consistent response times; priority and contracts affect service quality.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory scales efficiently, managing large datasets for enterprises, though users note cost and integration limitations.
Sentiment score
7.3
Informatica Intelligent Data Management Cloud offers scalable solutions, handling large volumes with proper planning and excellent documentation for user satisfaction.
Azure Data Factory is highly scalable.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, scalability, and performance, despite occasional minor issues with larger data volumes.
Sentiment score
7.7
Informatica IDMC is generally reliable despite occasional issues, with strong vendor support ensuring minimal downtime and manageable bugs.
The solution has a high level of stability, roughly a nine out of ten.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

Azure Data Factory requires improvements in integration, pricing, documentation, UI, monitoring, processing, and debugging for enhanced user experience.
Informatica IDMC needs UI improvements, better automation, pricing review, enhanced support, and performance enhancements for optimal usability.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
There is a problem with the integration with third-party solutions, particularly with SAP.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
 

Setup Cost

Azure Data Factory offers competitive, flexible pay-as-you-go pricing; costs vary by data volume and use of additional services.
Informatica IDMC pricing is high, varies by project, and often suits large enterprises with negotiable options.
The pricing is cost-effective.
It is considered cost-effective.
It ranges from a quarter million to a couple of million a year.
 

Valuable Features

Azure Data Factory enables easy data integration, management, and transformation with over 100 connectors, supporting ETL and automation efficiently.
Informatica IDMC provides flexible data management with seamless integration, AI capabilities, and robust governance for efficient data handling.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (3rd)
Informatica Intelligent Dat...
Ranking in Data Integration
3rd
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

As of February 2025, in the Data Integration category, the mindshare of Azure Data Factory is 10.1%, down from 12.9% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.0%, down from 7.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
 

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.
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...
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...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
Is the support provided by Informatica Cloud Data Integration helpful?
The support that Informatica Cloud Data Integration offers is very helpful. We had some issues with the setup of the product, as our team was not experienced with cloud data integration tools. We ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

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
The Travel Company, Carbonite
Find out what your peers are saying about Azure Data Factory vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: January 2025.
838,640 professionals have used our research since 2012.