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Informatica Intelligent Data Management Cloud (IDMC) vs Openprise 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 Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (1st), API Management (9th), 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)
Openprise
Ranking in Data Quality
20th
Average Rating
8.0
Reviews Sentiment
7.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.0%, down from 13.8% compared to the previous year. The mindshare of Openprise is 0.7%, down from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)10.0%
Openprise0.7%
Other89.3%
Data Quality
 

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.
PK
Release Train Engineer at Flash Ai
Improved data workflows have revealed gaps while pipeline automation has boosted revenue growth
Openprise offers multiple features that I appreciate, but one of the major features I love is the no-code workflow automation for data onboarding, cleaning, deduplication, and standardization. Openprise also comes with 300+ pre-built integrations such as Salesforce, HubSpot, Marketo, and Snowflake, which helps us integrate things properly. Additionally, it works with AI-driven data enrichment and validation, which adds a layer of referential integrity. The AI-driven data enrichment and validation in Openprise have helped our team by refining data in one place and searching it, making visibility much greater through cleaning, deduplication, and standardization of the data flow. Openprise provides centralized data quality regardless of what tech stack we are using, which is very positive. It also provides real-time sync and task automation for marketing and sales. Openprise has positively impacted our organization as we have seen a very good return on investment over three years. In our case, data error reduction was achieved by 77.7%. Apart from that, it has improved our forecast accuracy by 47.5%. Moreover, it has also helped us in sales by providing a productivity boost of 32.3%. Additionally, marketing lead revenue increased by 61%.

Quotes from Members

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

Pros

"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."
"With my firm, our use of Informatica Cloud is primarily to implement a set of financial integrations from various accounting systems into a Salesforce environment, and by leveraging Informatica Cloud Mapping Designer, we were able to create sets of reusable templates that were source agnostic, making supporting the integration for hundreds of customers feasible with just a small team of integration specialists."
"The most valuable features of Informatica MDM are the IDQ and RDM data management."
"Informatica Cloud Data Integration is good overall."
"The data integration and synchronization features in IICS improve the data handling processes."
"The product is scalable and excellent for enterprise-level organizations."
"Ease of use, configurability, maintainability, and good aesthetics make for a more fluid functional process."
"Openprise is a great solution that has definitely transformed our sales funnels."
 

Cons

"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"Certain applications are not being synced with the ION."
"When it comes to UI look and feel and user experience, Informatica is not as good as other solutions."
"The solution doesn't directly connect to any of the analytical tools."
"Perhaps the web services need to improve because when you create a new data file and add some changes, we must edit it and create a web service transformation again."
"Scalability is something that may be a problem with Openprise."
 

Pricing and Cost Advice

"Informatica is very expensive."
"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."
"The licenses attached to the solution are highly priced."
"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 is expensive."
"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."
"It's a costly solution"
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
Information not available
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Top Industries

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

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 ...
What is your experience regarding pricing and costs for Openprise?
Openprise provides custom enterprise focus, typically around $995 a month for basic implementations. When we go for advanced options and if the number of users is more, it can go up to $5,000 to $1...
What needs improvement with Openprise?
Some advanced features of Openprise can be advanced for non-technical people, as advanced features overwhelm beginners, particularly guided onboarding wizards, which could be improved. Additionally...
What is your primary use case for Openprise?
Openprise serves as our main RevOps automation solution, providing us with an end-to-end solution that helps us seamlessly connect the entire process from opportunity creation until final delivery ...
 

Also Known As

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

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica, Qlik, Ataccama and others in Data Quality. Updated: September 2026.
917,743 professionals have used our research since 2012.