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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) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), 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 (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
Openprise
Ranking in Data Quality
17th
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 November 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.3%, down from 13.1% compared to the previous year. The mindshare of Openprise is 0.7%, down from 0.9% 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)10.3%
Openprise0.7%
Other89.0%
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

"For the kind of application we have built and run on this tool, it has been very stable and has given consistent performance."
"From my standpoint, Informatica offers a pretty robust set of scanning tools that can scan a variety of sources of information."
"Able to customize data search and data sharing."
"Informatica Persistent Data Masking can mask production data for different users, ensuring that only authorized individuals can access sensitive information."
"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 fuzzy matching capability is a great feature."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."
"Openprise is a great solution that has definitely transformed our sales funnels."
 

Cons

"There are challenges when we use Cloud Application Integration (CAI). The current features are a bit complicated, and we need to write big scripts and test."
"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
"GUI is poor in IDQ"
"Error reporting and debugging need improvement."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"Informatica MDM could improve the interdependency with integration."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"Interoperability is one area where EDC has room for improvement."
"Scalability is something that may be a problem with Openprise."
 

Pricing and Cost Advice

"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."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"Informatica is very expensive."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"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."
"Informatica Cloud Data Quality is a costly solution."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
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: October 2026.
920,769 professionals have used our research since 2012.