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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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), 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) (4th), 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."
"This flexibility is what I really love about Informatica."
"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."
"The way that the solution scans is very useful."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"We are gaining our customers' confidence, and they rely on us for data classification."
"The solution has improved our organization by providing data quality."
"It is easy to create REST-based interfaces of the master data objects."
 

Cons

"The performance (speed) and load carrying capacity should be improved."
"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."
"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"I can't say the user interface is useless, but people don't use it because they find it cumbersome."
"The cost of Informatica MDM is expensive and has room for improvement."
"Its pricing model can be improved. The response time from technical support can also be improved."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
 

Pricing and Cost Advice

Information not available
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"Comparatively, their prices are a little bit too high."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"We got a 50% discount."
"The licensing price of the product depends on the organization's requirements."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software 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: June 2026.
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