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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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
26th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
Data Scrubbing Software (13th)
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), 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 February 2026, in the Data Quality category, the mindshare of BCC Data Quality is 1.6%, up from 0.3% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.9%, down from 19.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)9.9%
BCC Data Quality1.6%
Other88.5%
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…
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

Quotes from Members

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

Pros

"It fulfills the USPS requirements for mailings​."
"Postal sorting to the best and lowest postal rates."
"Offers data lineage feature"
"The tool does give a good ROI."
"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors."
"​The tool manually checks on applying business rules and helps to implement them."
 

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.​"
"Connectivity could be improved, it can be a little slow."
"There is room for improvement in the support. The response time could be faster."
"Certain shortcomings in the product's UI make it an area where improvements are required."
"For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point."
"We cannot sell the product directly with an additional layer."
"Pre-sales technical support is much better than post-sales technical support."
"Managing the licenses with the on-premises version was difficult."
"The integration with older technology and cloud quality needs improvement."
 

Pricing and Cost Advice

Information not available
"The solution is expensive."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"The platform has a premium cost. I rate the pricing as seven out of ten."
"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."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"The pricing model is something that can be improved."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

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, SAP and others in Data Quality. Updated: January 2026.
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