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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) (6th), Business-to-Business Middleware (1st), API Management (5th), 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)
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 September 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.9%, down from 14.2% compared to the previous year. The mindshare of Openprise is 0.8%, 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)9.9%
Openprise0.8%
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

"The valuable feature is metadata management. If you want to trace sensitive data, you can auto-classify them. You can search for sensitive information through EDC. Using Discovery, you can identify if there is any type of data set."
"It is unquestionably a good investment if used properly."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"What took 10 hours to do in the on-prem version, takes less than an hour in the cloud."
"Product-wise, compared to other on-premise tools, Informatica Cloud Data Integration can be deployed on-premises and cloud."
"The solution is stable."
"I think that it's a good solution...It is stable because we have the experience to deploy this solution."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"Openprise is a great solution that has definitely transformed our sales funnels."
 

Cons

"Its cloud-based version has a few limitations compared to the on-premise version."
"A general improvement in icons and the virtual interface would be good."
"This service could be more cost-effective."
"There is no doubt that it is very expensive, but the brand value comes at a cost."
"It can be improved in terms of performance and execution. I'm expecting better performance."
"Compared to PowerCenter, Data Quality needs some improvement; when we are dealing with large amounts of data for extraction purposes, it doesn't always work out and we often experience some memory issues here and there."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"With limited data it's fine, but with a large volume the scalability is questionable, the threshold of data transaction is different."
"Scalability is something that may be a problem with Openprise."
 

Pricing and Cost Advice

"I have heard from customers that the product comes with a huge license cost."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"The solution's pricing model is easy, but it is very expensive."
"The licenses attached to the solution are highly priced."
"The price is high, but the competitors are even higher, like Collibra."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
9%
Outsourcing Company
7%
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: August 2026.
911,839 professionals have used our research since 2012.