BCC Data Quality vs Qlik Talend Cloud comparison

BCC Software and Qlik are both solutions in the Data Quality category. BCC Software is ranked #26, while Qlik is ranked #2 with an average rating of 8.0. BCC Software holds a 1.6% mindshare in DQ, compared to Qlik’s 7.0% mindshare. Additionally, 100% of BCC Software users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

BCC Data Quality

Read 1 BCC Data Quality review

390 Views
269 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
1,711 Comparison Views

88% willing to recommend

BCC Data Quality

Qlik Talend Cloud

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and BCC Data Quality compete in the realm of data management solutions. While Qlik Talend Cloud seems to have an advantage with its integration capabilities and cost efficiency, BCC Data Quality is superior in advanced data cleansing and accuracy improvements.

Features:Qlik Talend Cloud offers data integration, comprehensive analytics, and caters to diverse business intelligence needs. BCC Data Quality provides precise data cleansing, high-quality validation tools, and significantly improves data accuracy.

Ease of Deployment and Customer Service:Qlik Talend Cloud is cloud-based with agile deployment and extensive support resources, enhancing flexibility. BCC Data Quality offers straightforward installation but requires more significant resources for customization and maintenance. Qlik Talend Cloud's support is more accessible, while BCC's requires longer interaction times.

Pricing and ROI:Qlik Talend Cloud pricing is competitive with flexible subscription options and quick ROI through streamlined services. BCC Data Quality incurs higher initial expenses due to specialized enhancements but delivers substantial ROI from improved data accuracy.

To learn more, read our detailed Data Quality Report (Updated: February 2026).

Buyer's Guide

Data Quality

February 2026

Download the complete report

Helped 884,873 peers since 2012

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

Ranking in Data Scrubbing Software

12th

Average Rating

10.0

Number of Reviews

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

Ranking in other categories

Data Integration (5th), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of March 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 Qlik Talend Cloud is 7.0%, down from 10.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	7.0%
BCC Data Quality	1.6%
Other	91.4%

Data Quality

Featured Reviews

it_user831795

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…

Read full review

Herivao Jus Winny

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.

Read full review

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."

"The most valuable feature is the data loading and scripting language"

"Provides a flexible development environment to the coder."

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."

"The basic tools are easy to pick up and understand."

"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."

"The file fetch process is impeccable."

More Qlik Talend Cloud pros

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."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even 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."

"Processing large volumes of data sometimes consumes a lot of resources."

"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."

"Performance and speed could be improved."

"We'd like to see more connectors it the future."

"SQL for displaying underlying data in non-match results does not work."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"The solution's pricing is very reasonable and half the cost of Informatica."

"The licensing cost is about 40,000 Euros a year."

"It's a subscription-based platform, we renew it every year."

"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"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."

More Qlik Talend Cloud pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Computer Software Company

10%

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

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 ...

See all answers

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...

See all answers

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...

See all answers

Comparisons

Melissa Data Quality vs BCC Data Quality

Compared 37% of the time

Ataccama ONE Platform vs BCC Data Quality

Compared 25% of the time

SQL Power Data Quality vs BCC Data Quality

Compared 22% of the time

Microsoft Data Quality Services vs BCC Data Quality

Compared 16% of the time

More BCC Data Quality Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 5% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 4% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 2% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Data Quality

February 2026

Download BCC Data Quality product report

Buyer's Guide

Qlik Talend Cloud

March 2026

Download Qlik Talend Cloud product report

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

BCC Data Quality includes the following solutions:

LENS ensures submission and retrieval with our secure FTP-based process, receives an email when your updated lists are ready for pick-up, its processing supports PGP encryption.and process file types regardless of postal software used including delimited (comma or tab), fixed-length, Paradox, and dBase.
Datavolve confirms address data against the most current USPS reference data, evaluates address data where it enters your system, so data errors are fixed before they cause problems throughout an organization, records are standardized and enhanced with essential ZIP + 4 codes, postal carrier routes, delivery point, and other valuable information and deployable by over multiple platforms, wide operational configurations, and all data entry points.
ZIPFOURce Web Services Single and batch encoding options are both available, and the service adjusts names entered for proper casing: all caps or no caps, Uses USPS DPV technology to reveal whether an address listed in the ZIP + 4 database is actually recognized by the USPS as a deliverable destination and updates rural-style addresses to city-style formats, or renames/renumbers city-style addresses that may have been changed by local governments.
GoData is a web-based tool for data processing, performing data hygiene and list enhancement.

BCC Software

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Perinton Publishing

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: February 2026.

DOWNLOAD NOW

884,873 professionals have used our research since 2012.

See our list of best Data Quality vendors, best Data Scrubbing Software vendors, and best Cloud Data Integration vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.