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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."
"It's great as a unified enterprise data management platform."
"The user interface which is very easy to use if we have any problems to solve."
"Mapping designer seems to be easier to use even when compared with PowerCenter which is a great improvement."
"This tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."
"Informatica MDM's most valuable feature is the interconnection between multiple Master Data domains."
"We've used the solution for quite some time, so in our organization, the product is pretty mature."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The mass ingestion functionality and the elasticity of the solution are great."
 

Cons

"The performance (speed) and load carrying capacity should be improved."
"There could be a lot more application integration."
"The product requires more polishing and hardening."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"Support response time could be better."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"The product isn't mature enough to provide suitable connectors to various data engines."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
 

Pricing and Cost Advice

Information not available
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"The pricing is quite flexible."
"We are quite happy with the licensing model."
"Informatica Axon is expensive."
"Comparatively, their prices are a little bit too high."
"The solution's pricing model is easy, but it is very expensive."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"The product is very expensive"
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
10%
Construction Company
8%
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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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 ...
 

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.
908,344 professionals have used our research since 2012.