No more typing reviews! Try our Samantha, our new voice AI agent.

Informatica Intelligent Data Management Cloud (IDMC) vs Openprise comparison

 

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 (6th), 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) (2nd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
Openprise
Ranking in Data Quality
22nd
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 July 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.7%, down from 19.2% compared to the previous year. The mindshare of Openprise is 0.8%, up from 0.1% 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)9.7%
Openprise0.8%
Other89.5%
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 a tech vendor with 1-10 employees
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

"When I compare with other vendors, Informatica support is better, feedback-wise."
"The solution offers good data governance."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"The solution is very scalable, and if a company needs to expand it, it should not face any issues doing so."
"Informatica Business Process Manager is easy to use and learn."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"It is a scalable solution. Scalability-wise, I rate the solution a nine out of ten."
"Openprise is a great solution that has definitely transformed our sales funnels."
 

Cons

"The tool's performance is an area that should be given further consideration."
"An area for improvement would be that the pricing model is not very visible, which makes it hard to understand how much things will cost."
"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
"GUI is poor in IDQ"
"Performance issues can be looked at Improved release documentation is expected because I feel that the current release document doesn't give you the clear picture of what has been fixed and what has not been fixed from previous versions."
"Certain applications are not being synced with the ION."
"There are various areas for improvement in IDMC. Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"Scalability is something that may be a problem with Openprise."
 

Pricing and Cost Advice

"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."
"The product is highly-priced."
"The pricing is high compared to other tools on the market."
"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 a high price point."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"We have licenses, and we are provided with certain particular services in the solution."
Information not available
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
903,147 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
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, SAP and others in Data Quality. Updated: June 2026.
903,147 professionals have used our research since 2012.