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Informatica Intelligent Data Management Cloud (IDMC) vs Perforce Acana comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 8, 2025

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
8th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Perforce Acana
Ranking in API Management
31st
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 June 2025, in the API Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 0.3%, up from 0.2% compared to the previous year. The mindshare of Perforce Acana is 0.5%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
Saurav Krishna - PeerSpot reviewer
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 Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"A great product enrichment tool."
"Informatica provides a comprehensive solution for on-the-fly or real-time data masking."
"The solution is applicable for both technical and business users."
"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."
"Seeing the data in the mapping itself is really nice."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
"Good interface, intuitive solution."
"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."
 

Cons

"We haven't had many technical issues. We don't use all of the components of the tool that are more complex and error-prone."
"The solution still is a bit manual in its functionality. We want t to be more automation-driven."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
"The UI is extremely complex"
"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."
"User/group administration could use improvement."
"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."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"Lacks an integrated billing feature."
"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."
 

Pricing and Cost Advice

"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."
"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."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"The solution's pricing model is easy, but it is very expensive."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"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."
"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
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
21%
Computer Software Company
13%
Manufacturing Company
12%
Healthcare Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 ...
What do you like most about Akana API Management?
The tool's authentication mechanism is easy to implement. We had to define a few parameters.
What needs improvement with Akana API Management?
Akana API Management needs to improve its documentation.
 

Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
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: June 2025.
857,162 professionals have used our research since 2012.