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

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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 (1st), API Management (5th), 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."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"The product is stable."
"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."
"Informatica MDM helped us realize our goal of maintaining a distinct (golden) record in our database for better decision making and reporting purposes."
"It's one of the best tools in its class."
"I have used a lot of MDM tools, and I've found that Informatica is the best solution out of all of them in terms of the architecture and user-friendliness."
"Offers data lineage feature"
"For the kind of application we have built and run on this tool, it has been very stable and has given consistent performance."
 

Cons

"The performance (speed) and load carrying capacity should be improved."
"I need to have some insight into the tool's cloud capabilities."
"The job scheduler needs improvement."
"Mainly, MDM requires improvement when you need to migrate your version to a later one -- because it is very difficult and takes a lot of time to convert the processes you have already developed and implemented on a previous version, and can cause a need to rework the processes."
"Logical views are a little bit behind in comparison to the on-premise version."
"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."
"Informatica goes down for maintenance quite a lot due to the upgrades."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
 

Pricing and Cost Advice

Information not available
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"The price is neither too high nor too low."
"The licensing price of the product depends on the organization's requirements."
"The solution's pricing model is easy, but it is very expensive."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"We are quite happy with the licensing model."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
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Top Industries

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

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: September 2026.
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