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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

"Initial setup was fairly easy."
"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."
"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."
"I think the most valuable part of Informatica is the flexibility in extending the data model."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"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 solution is stable."
"The way that the solution scans is very useful."
"Openprise is a great solution that has definitely transformed our sales funnels."
 

Cons

"Once the data is masked, we won't be able to reverse it back to its original value."
"Compared to other tools in the market, Informatica MDM is costly."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"Its features for partitioning and optimization could be better."
"It is expensive."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"I need to have some insight into the tool's cloud capabilities."
"Informatica products are always increasing in price. Nowadays, many of their customers are leaving and seeking other data integration tools."
"Scalability is something that may be a problem with Openprise."
 

Pricing and Cost Advice

"It is cost effective and an easily accessible tool."
"Informatica Cloud Data Quality is a costly solution."
"We are quite happy with the licensing model."
"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."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"Informatica Axon is expensive."
"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."
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.
920,043 professionals have used our research since 2012.