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BCC Data Quality vs Informatica Intelligent Data Management Cloud (IDMC) 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

BCC Data Quality
Ranking in Data Quality
28th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
Data Scrubbing Software (12th)
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) (7th), Business-to-Business Middleware (2nd), API Management (5th), Cloud Data Integration (2nd), 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) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of June 2026, in the Data Quality category, the mindshare of BCC Data Quality is 1.5%, up from 0.4% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.5%, down from 19.4% 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)9.5%
BCC Data Quality1.5%
Other89.0%
Data Quality
 

Featured Reviews

it_user831795 - PeerSpot reviewer
President
Postal sorting to the best and lowest postal rates
It is used for clients' mail list hygiene to standardize, update change of addresses, dedupe, and postal sort for mailings with postal discounted rates My company provides these services for clients in the mailing industry. This software is a must have for my company offerings. Address…
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.

Quotes from Members

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

Pros

"This software is a must have for my company offerings."
"Postal sorting to the best and lowest postal rates."
"It fulfills the USPS requirements for mailings​."
"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"Single and consistent view of Customer Data arising from a centralized data set with unique customer records."
"REST API: Excellent for scripting control and reporting mechanisms"
"The product seems stable enough."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."
"The data quality component is very good."
"The product is stable."
 

Cons

"​I use another program for deduping files. I am not comfortable with the way BCC deduping runs when deduping by full name and address.​"
"The solution doesn't directly connect to any of the analytical tools."
"Complex to adapt data model provided using web service and e-commerce one."
"Cost-wise, it could be better."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"The initial setup is very, very difficult."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."
"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."
 

Pricing and Cost Advice

Information not available
"The product has a high price point."
"Informatica MDM's price could be lower."
"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."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"The product is very expensive"
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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How does Azure Data Factory compare with Informatica Cloud Data Integration?
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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 ...
 

Also Known As

Bell and Howell Data Quality
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Perinton Publishing
The Travel Company, Carbonite
Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: June 2026.
902,456 professionals have used our research since 2012.