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Azure BizTalk Services [EOL] vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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 BizTalk Services [EOL]
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (7th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Featured Reviews

it_user685410 - PeerSpot reviewer
Chief Technology Officer at a tech services company with 51-200 employees
Helped to receive and send messages from other organizations. The load carrying capacity should be improved.
Stick to the business case, evaluate strengths of similar products and choose the one that matches your business scenario. BizTalk suffered to take the load (lots of messages in and out) compared to IBM's WebSphere Message Broker. BizTalk was used as a B2B integration tool within an integration project, where seven or more organizations had to communicate with each other within the “Integrated Justice System” for criminal cases, from case registration to legal aid, case closure, punishments, community service, and so on. The other organizations used Message Broker and NPA used BizTalk. Thus, compared to the transmission and load capacity, BizTalk stood second.
RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

Quotes from Members

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

Pros

"It has the best price for the functionalities that you can get."
"From my standpoint, Informatica offers a pretty robust set of scanning tools that can scan a variety of sources of information."
"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The user interface is flexible and the visibility of the data flow is amazing."
"When we use Informatica, we have a complete global vision of our clouds and the local application data and that is very important for us."
"The most valuable feature for me is the easy interface; it has a great look and feel, and the functionality is so easy."
"The best part about the Informatica Intelligent Data Management Cloud (IDMC) is the modularity; when I say modularity, I mean the things get easier by working into different modules."
"The fuzzy matching capability is a great feature."
 

Cons

"The performance (speed) and load carrying capacity should be improved."
"Performance issues can be looked at Improved release documentation is expected because I feel that the current release document doesn't give you the clear picture of what has been fixed and what has not been fixed from previous versions."
"The cloud version could be better in terms of pricing."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"The integration process is not easy."
"They could improve technical support because it is not good enough at the moment."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"The stability and the integration of the solution have room for improvement."
"It needs to be a little more intuitive but it’s really not bad."
 

Pricing and Cost Advice

Information not available
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The price of Informatica Cloud Data Integration could be reduced."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"The pricing model is something that can be improved."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"The product has a high price point."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
9%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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Also Known As

BizTalk Services
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

MYOB Limited, Mimeo, SGS International, MarginPoint, ISS Group
The Travel Company, Carbonite
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: July 2026.
908,834 professionals have used our research since 2012.