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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
30th
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) (6th), Business-to-Business Middleware (2nd), API Management (7th), 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)
 

Mindshare comparison

As of August 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 9.7%, down from 18.6% 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%
BCC Data Quality1.5%
Other88.8%
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."
"It fulfills the USPS requirements for mailings​."
"Postal sorting to the best and lowest postal rates."
"I rate the technical support a ten out of ten."
"Informatica Cloud Data Integration has a strong enterprise customer base and this is one of the main reasons why we choose to work with them."
"The solution is straightforward."
"The feature I found most valuable in Informatica Intelligent Cloud Services is the mapping; you just drag and it maps the data, so mapping is very easy and it's no code."
"We have matured as an organization with regards to better quality management, and we have evolved over time."
"Informatica MDM's most valuable feature is the interconnection between multiple Master Data domains."
"The solution has an excellent data profiler."
"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."
 

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.​"
"Metadata querying is right now not there in Informatica Cloud Data Integration."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"It needs to be a little more intuitive but it’s really not bad."
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"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."
"The on-prem version's functionalities may not be available on the cloud version."
"There is room for improvement in the support. The response time could be faster."
"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 price is comparable."
"It's an expensive solution."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"We pay for a yearly subscription."
"The licensing price of the product depends on the organization's requirements."
"It is cost effective and an easily accessible tool."
"Its pricing model can be improved."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
9%
Outsourcing 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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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, Ataccama and others in Data Quality. Updated: July 2026.
909,563 professionals have used our research since 2012.