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Informatica Intelligent Data Management Cloud (IDMC) vs Perforce Acana 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

Informatica Intelligent Dat...
Ranking in API Management
9th
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) (5th), Business-to-Business Middleware (1st), 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) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Perforce Acana
Ranking in API Management
34th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the API Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 1.6%, up from 0.6% compared to the previous year. The mindshare of Perforce Acana is 1.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)1.6%
Perforce Acana1.1%
Other97.3%
API Management
 

Featured Reviews

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.
Saurav Krishna - PeerSpot reviewer
Data Engineering and AI Intern at .3Lines Venture Capital
Authentication mechanism is easy to implement but improvement is needed in documentation
For API security purposes, we use the tool to host all our APIs. This allows us to take advantage of the security features provided by the platform. With the solution, we can implement rules such as rate limiting and restricting the number of API calls for each user. It acts as a secure gateway…

Quotes from Members

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

Pros

"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"Informatica Cloud Data Quality was most valuable for our real-time data quality monitoring needs."
"The solution is stable."
"The MDM solution is capable of integrating multiple systems, so it helped us to solve the purpose of centralizing the depository as well as the standardization of mass data. It takes away all the ambiguity around data integrity issues or all the process challenges which happen when every stage of a process uses a different source as master data."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"The scalability of the solution is excellent."
"The quality of the data improves with Informatica Cloud Data Quality."
"The solution's initial setup is quite straightforward."
"Good interface, intuitive solution."
"Its completeness feature for the large enterprises, in my case for the government, is the most valuable feature of this product."
"The tool's authentication mechanism is easy to implement. We had to define a few parameters."
"It allowed us to publish and replace pre-essential transactions in one place, with a uniformity in terms of control and policies."
"The interface is good, and the policies that it uses as opposed to the features that it has in terms of security and the throughput management and those aspects are intuitive."
 

Cons

"The data discovery isn't that good yet for Salesforce. We have another tool that we use for this. It may be a problem because Salesforce on the cloud."
"The pricing model is problematic."
"We decided to stop the project because it was too much effort and we couldn't benefit from the solution."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"Error analysis becomes difficult as finding the exact location of the error in the logs is challenging."
"We promote our code changes from a lower to a higher environment, which is highly complex when working with a multi-domain MDM like Informatica. This is the biggest obstacle for Informatica MDM, and I think they should change it because that's very time consuming."
"Their support should be improved. We have had some trouble with their support from time to time."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"The version that we have is very old."
"We actually did reach out to the technical support and it was all right, not great. We didn't get the answers we needed."
"Akana API Management needs to improve its documentation."
"The product has new features that we are going to implement in the next few months, such as API management and analytic reporting."
"Lacks an integrated billing feature."
 

Pricing and Cost Advice

"The price of Informatica Cloud Data Integration could be reduced."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"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 Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"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."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"For us, the pricing and licensing policies were for an on-premise installation with a fixed cost structure, that matched our budgeting policies."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
Outsourcing Company
15%
Computer Software Company
13%
Financial Services Firm
13%
Healthcare Company
8%
 

Company Size

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

Questions from the Community

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...
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 ...
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Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
British American Tobacco, Credit Suisse, Daimler, eBay, FOX, Liberty Mutual, Marriott, Mayo Clinic, Skandia, Tata communications
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Perforce Acana and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.