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Azure Data Factory vs IBM InfoSphere Information Server comparison

Microsoft and IBM are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while IBM is ranked #30 with an average rating of 8.0. Microsoft holds a 7.9% mindshare in DI, compared to IBM’s 0.8% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.
Azure Data Factory
Read 91 Azure Data Factory reviews
  • 12,153 Views
  • 7,888 Comparison Views
92% willing to recommend
IBM InfoSphere Information ...
Read 7 IBM InfoSphere Information Server reviews
  • 998 Views
  • 724 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

IBM InfoSphere Information Server and Azure Data Factory compete in the data integration and management space. Azure Data Factory appears to have the upper hand due to its comprehensive features and overall value.

Features: IBM InfoSphere Information Server offers data integration capabilities, data quality tools, and metadata management. Azure Data Factory provides cloud data integration, supports a vast range of data sources, and offers scalable orchestration tools.

Room for Improvement: IBM InfoSphere Information Server could benefit from simplification in deployment, enhancing user experience, and reducing resource intensity. Azure Data Factory may enhance its integration with certain on-premise systems, improve pipeline monitoring tools, and offer more advanced data transformation capabilities.

Ease of Deployment and Customer Service: IBM InfoSphere Information Server's deployment is complex but offers strong enterprise support. Azure Data Factory provides smoother cloud-based deployment with robust Microsoft support.

Pricing and ROI: IBM InfoSphere Information Server has higher initial setup costs, impacting early-stage ROI but offering long-term value for on-prem solutions. Azure Data Factory's pay-as-you-go pricing model provides quicker ROI, aligning costs with growth.

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To learn more, read our detailed Azure Data Factory vs. IBM InfoSphere Information Server Report (Updated: June 2025).
Buyer's Guide
Azure Data Factory vs. IBM InfoSphere Information Server
June 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:
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (2nd)
IBM InfoSphere Information ...
Ranking in Data Integration
30th
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
7
Ranking in other categories
Metadata Management (6th)
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.9%, down from 12.2% compared to the previous year. The mindshare of IBM InfoSphere Information Server is 0.8%, down from 0.8% 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.
Read full review
UmeshKumar1 - PeerSpot reviewer
Prompt support, reliable, but lacking scalability
IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool I have been using IBM InfoSphere Information Server for approximately five years. IBM InfoSphere Information Server is stable. IBM InfoSphere Information Server should be…
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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

"For me, it was that there are dedicated connectors for different targets or sources, different data sources. For example, there is direct connector to Salesforce, Oracle Service Cloud, etcetera, and that was really helpful."
"In terms of my personal experience, it works fine."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."
"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."
"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."
"The trigger scheduling options are decently robust."
"I find that the solution integrates well with cloud technologies, which we are using for different clouds like Snowflake and AWS"
More Azure Data Factory pros
"The integration with different technologies is the most valuable feature."
"Stability-wise, I rate the solution a ten out of ten."
"IBM InfoSphere Information Server is stable."
"This solution is extremely flexible and scalable."
 

Cons

"We require Azure Data Factory to be able to connect to Google Analytics."
"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 a problem with the integration with third-party solutions, particularly with SAP."
"In the next release, it's important that some sort of scheduler for running tasks is added."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"Some of the optimization techniques are not scalable."
"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."
More Azure Data Factory cons
"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"Their technical support needs improvement."
"This solution would benefit from the engine being made more lightweight."
 

Pricing and Cost Advice

"While I can't specify the actual cost, I believe it is reasonably priced and comparable to similar products."
"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."
"This is a cost-effective solution."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"Understanding the pricing model for Data Factory is quite complex."
"The pricing model is based on usage and is not cheap."
"Our licensing fees are approximately 15,000 ($150 USD) per month."
"I would not say that this product is overly expensive."
More Azure Data Factory pricing and cost advice
"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Government
6%
Financial Services Firm
23%
Government
16%
Insurance Company
10%
Healthcare Company
7%
 

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.
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 IBM InfoSphere Information Server?
Stability-wise, I rate the solution a ten out of ten.
See all answers
What needs improvement with IBM InfoSphere Information Server?
There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution cu...
See all answers
What is your primary use case for IBM InfoSphere Information Server?
I use IBM InfoSphere Information Server in retail banking for transformation purposes.
See all answers
 

Comparisons

Snowflake vs Azure Data Factory Logo
Snowflake vs Azure Data Factory
Compared 9% of the time
Informatica PowerCenter vs Azure Data Factory Logo
Informatica PowerCenter vs Azure Data Factory
Compared 8% of the time
Alteryx Designer vs Azure Data Factory Logo
Alteryx Designer vs Azure Data Factory
Compared 6% 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 6% of the time
Oracle Data Integrator (ODI) vs Azure Data Factory Logo
Oracle Data Integrator (ODI) vs Azure Data Factory
Compared 5% of the time
More Azure Data Factory Competitors
IBM InfoSphere DataStage vs IBM InfoSphere Information Server Logo
IBM InfoSphere DataStage vs IBM InfoSphere Information Server
Compared 54% of the time
Oracle GoldenGate vs IBM InfoSphere Information Server Logo
Oracle GoldenGate vs IBM InfoSphere Information Server
Compared 16% of the time
Qlik Replicate vs IBM InfoSphere Information Server Logo
Qlik Replicate vs IBM InfoSphere Information Server
Compared 11% of the time
IBM InfoSphere Information Governance Catalog vs IBM InfoSphere Information Server Logo
IBM InfoSphere Information Governance Catalog vs IBM InfoSphere Information Server
Compared 8% of the time
IBM Watson Knowledge Catalog vs IBM InfoSphere Information Server Logo
IBM Watson Knowledge Catalog vs IBM InfoSphere Information Server
Compared 5% of the time
More IBM InfoSphere Information Server Competitors
 

Product Reports

Buyer's Guide
Azure Data Factory
June 2025
Azure Data Factory reportDownload Azure Data Factory product report
Buyer's Guide
Data Integration
June 2025
IBM InfoSphere Information Server reportDownload IBM InfoSphere Information Server product report
 

Also Known As

No data available
InfoSphere Information Server, IBM Information Server
 

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
IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).
IBM
 

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
Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
Buyer's Guide
Azure Data Factory vs. IBM InfoSphere Information Server
June 2025
Free Report: Azure Data Factory vs. IBM InfoSphere Information Server
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