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Informatica Intelligent Data Management Cloud (IDMC) vs Monte Carlo comparison

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 Data Observability
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), API Management (7th), 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)
Monte Carlo
Ranking in Data Observability
1st
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Observability category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 8.2%, up from 1.0% compared to the previous year. The mindshare of Monte Carlo is 35.0%, down from 39.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Observability
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
PR
Provides centralized data observability features and has an easy-to-use user interface.
The product's initial setup is in a daily improvement stage, deploying new plugins for upstream and downstream resources. It takes 25 minutes to complete. The process involves integrating with third-party services for Single Sign-On (SSO). It requires only one executive for maintenance as it has easy-to-use navigation and user interface.

Quotes from Members

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

Pros

"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"We can scan anything."
"The staging and hierarchical features are the most valuable."
"The product's most valuable feature is the ability to select the data flow and lineage."
"The solution is stable."
"Address Doctor gives an accurate combination of information provided with a level of returned threshold value."
"The profiling feature in Informatica Data Quality is incredibly effective for data governance."
"It has become an easy way to exchange information through any cloud application."
"It makes organizing work easier based on its relevance to specific projects and teams."
 

Cons

"The UI is extremely complex"
"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."
"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."
"Once the data is masked, we won't be able to reverse it back to its original value."
"I would like to see more functionality added so that it is a bit closer to how much you can do with Informatica PowerCenter."
"The product could be improved in the area of architecture and technology. All the parts are old."
"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
 

Pricing and Cost Advice

"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 platform has a premium cost. I rate the pricing as seven out of ten."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"The price is comparable."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"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."
"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"The product has moderate pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
Computer Software Company
16%
Manufacturing Company
9%
Retailer
8%
Financial Services Firm
8%
 

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 Monte Carlo?
It makes organizing work easier based on its relevance to specific projects and teams.
What needs improvement with Monte Carlo?
For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a ...
 

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
Information Not Available