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BCC Data Quality vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 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
Ranking in Data Scrubbing Software
12th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Quality
2nd
Ranking in Data Scrubbing Software
1st
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of September 2026, in the Data Quality category, the mindshare of BCC Data Quality is 1.6%, up from 1.1% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.6%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.6%
BCC Data Quality1.6%
Other91.8%
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…
HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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​."
"The Studio is easy to understand."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"The availability of connectors is great."
"Talend is a good product and I recommend it."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"Talend Data integration has a wide library of connectors."
"The solution is customizable."
 

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.​"
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."
"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."
"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."
"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."
"The documentation from version to version could be more accurate."
"I encountered scalability issues."
 

Pricing and Cost Advice

Information not available
"The solution's pricing is very reasonable and half the cost of Informatica."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"License renewal is on a yearly basis."
"The licensing cost is about 40,000 Euros a year."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
10%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
What needs improvement with Talend Data Quality?
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...
What is your primary use case for Talend Data Quality?
It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...
What advice do you have for others considering Talend Data Quality?
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...
 

Also Known As

Bell and Howell Data Quality
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Perinton Publishing
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Informatica, Qlik, Ataccama and others in Data Quality. Updated: September 2026.
913,683 professionals have used our research since 2012.