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Informatica Intelligent Data Management Cloud (IDMC) vs Perforce Acana 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

Informatica Intelligent Dat...
Ranking in API Management
7th
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), 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)
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 August 2026, in the API Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 1.5%, up from 0.5% compared to the previous year. The mindshare of Perforce Acana is 1.0%, 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)1.5%
Perforce Acana1.0%
Other97.5%
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 solution's technical support is pretty good, especially since the turnaround time is good."
"Informatica Business Process Manager is easy to use and learn."
"The most valuable features are the structure masking and platform masking."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management, and you can write code to build your logic rules to check the quality."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"The data quality component is very good."
"I used IBM InfoSphere before but Informatica is much, much better; gold standard."
"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."
"The tool's authentication mechanism is easy to implement. We had to define a few parameters."
"Its completeness feature for the large enterprises, in my case for the government, is the most valuable feature of this product."
"Good interface, intuitive solution."
 

Cons

"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"An area for improvement would be that the pricing model is not very visible, which makes it hard to understand how much things will cost."
"I can't say the user interface is useless, but people don't use it because they find it cumbersome."
"Error reporting and debugging need improvement."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"The cloud version could be better in terms of pricing."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"We actually did reach out to the technical support and it was all right, not great. We didn't get the answers we needed."
"The version that we have is very old."
"Akana API Management needs to improve its documentation."
"Lacks an integrated billing feature."
"The product has new features that we are going to implement in the next few months, such as API management and analytic reporting."
 

Pricing and Cost Advice

"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"We got a 50% discount."
"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."
"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."
"The solution is very expensive."
"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%
Construction Company
9%
Outsourcing Company
6%
Manufacturing Company
16%
Financial Services Firm
13%
Computer Software Company
11%
Construction Company
7%
 

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: August 2026.
909,701 professionals have used our research since 2012.