Boomi Data Hub vs Qlik Talend Cloud comparison

Boomi and Qlik are both solutions in the Cloud Master Data Management (MDM) category. Boomi is ranked #9 with an average rating of 9.0, while Qlik is ranked #4 with an average rating of 8.0. Boomi holds a 3.5% mindshare in CMDM, compared to Qlik’s 7.1% mindshare. Additionally, 85% of Boomi users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Boomi Data Hub

Read 7 Boomi Data Hub reviews

587 Views
481 Comparison Views

85% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

7,726 Views
695 Comparison Views

88% willing to recommend

Boomi Data Hub

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 12, 2025

Qlik Talend Cloud and Boomi Data Hub compete in the data integration and management category. Talend Cloud has an edge in user adoption and satisfaction thanks to its pricing and support, while Boomi Data Hub is seen as having a superior feature set justifying its cost.

Features: Qlik Talend Cloud offers real-time data access, transformation, and integration tools. Its strengths lie in supporting high data volumes, rich connectors, and community backing. Boomi Data Hub excels with a drag-and-drop interface, robust master data management, and data synchronization capabilities.

Room for Improvement: Qlik Talend Cloud faces challenges with system stability, memory issues, and troubleshooting difficulties. Its documentation and support are also criticized. Boomi Data Hub could improve its AI features, Microsoft Azure integration, and data preparation tools for easier stakeholder onboarding.

Ease of Deployment and Customer Service: Qlik Talend Cloud supports on-premises and private cloud deployments with variable customer service reviews. Boomi primarily supports public and hybrid clouds, preferred for larger deployments, with users finding its support efficient and satisfactory.

Pricing and ROI: Qlik Talend Cloud's open-source model provides a cost-effective start with flexible pricing, though costs can rise as needs expand. Boomi Data Hub offers competitive pricing, particularly for SaaS-based solutions, with both products delivering significant ROI and cost savings.

To learn more, read our detailed Boomi Data Hub vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

Boomi Data Hub vs. Qlik Talend Cloud

December 2025

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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

Boomi Data Hub

Ranking in Cloud Master Data Management (MDM)

9th

Average Rating

8.2

Reviews Sentiment

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Cloud Master Data Management (MDM)

4th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (6th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (8th)

Mindshare comparison

As of February 2026, in the Cloud Master Data Management (MDM) category, the mindshare of Boomi Data Hub is 3.5%, up from 2.0% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.1%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Master Data Management (MDM) Market Share Distribution
Product	Market Share (%)
Qlik Talend Cloud	7.1%
Boomi Data Hub	3.5%
Other	89.4%

Cloud Master Data Management (MDM)

Featured Reviews

Rav Bangalore

GenAI Strategist at Wipro Limited

Unifying separate data systems for AI enablement and ensuring data security

One challenge we face is the effort required in data preparation before using MDM capabilities. A feature to facilitate data preparedness, such as data cleansing and template suggestions to minimize effort by stakeholders, would be helpful. Enterprises today have scattered data, and unifying this data with ease would be beneficial.

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

"Boomi AtomSphere Master Data Hub offers features like unified data models, data security, and compliance, and we have tested data models that enable us to train LLM models for specific use cases."

"The most valuable features of Boomi AtomSphere Master Data Hub are the ability to do data integrations, APM Management, MDM, and data catalog."

"Boomi AtomSphere Master Data Hub is a real integration tool that offers powerful and helpful features."

"We use the administrator to create different interfaces. We developed APIs for specific applications like data validation between systems. We have our own product and base it on the Boomi interfaces that generate this type of data validation."

"The most valuable feature of this solution is that it seems to be more of a drag and drop interface."

"The most valuable feature is that it's very easy to develop the processes and we have been using it for a long time. At that time, no other tool was available, and it was the best product. When we first got it, I don't think it was a Dell product back then. We upgraded to the cloud last year. Today, it's still the best because it's very user-friendly, and the user interface is also very user-friendly. We can easily develop the processes quickly."

"Talend's most valuable feature is its ability to generate code and packages efficiently."

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

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."

"The most valuable feature is integration."

"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."

"Some of the algorithms that are inbuilt in Talend Data Quality, such as Levenshtein, are the most valuable functions for us."

"It lowers the amount of time in development from weeks to a day."

More Qlik Talend Cloud pros

Cons

"Boomi AtomSphere Master Data Hub could improve by having a ChatGPT AI tool to solve problems and develop quicker."

"The price could be better. It would also be better if they stopped changing the icons every six months. Whenever they change it, users have to adapt to them again."

"The reporting needs to be improved to help get more KPIs in the longterm. Now, the system keeps only three months."

"There could be improvements in integrating more features with Microsoft Azure."

"We have problems in some scenarios where there are messages in the queue and would require some support."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

"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."

"Qlik Talend Cloud has impacted my organization by increasing the license cost, leading many companies to decide to decommission Talend, as they find the cost too high."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

"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."

"Once you get past the basic tools, it gets pretty complicated."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"We have a monthly subscription, which is $550 per month."

"The price could be better. In the current market, it's expensive but worth it."

"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."

"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."

"I have been using the open-source version."

"The tool is cheap."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

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

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

18%

Manufacturing Company

14%

Legal Firm

Healthcare Company

Financial Services Firm

13%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	3

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

Questions from the Community

What is your experience regarding pricing and costs for Boomi AtomSphere Master Data Hub?

The pricing of Boomi AtomSphere Master Data Hub seems reasonable compared to competitors like Informatica and other products. Most of these solutions are SaaS-based and cloud-native, making them co...

See all answers

What needs improvement with Boomi AtomSphere Master Data Hub?

One challenge we face is the effort required in data preparation before using MDM ( /categories/master-data-management-mdm-software ) capabilities. A feature to facilitate data preparedness, such a...

See all answers

What is your primary use case for Boomi AtomSphere Master Data Hub?

We are evaluating Boomi AtomSphere Master Data Hub ( /products/boomi-atomsphere-master-data-hub-reviews ) in terms of its features, especially from unified data models, data security, and complianc...

See all answers

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

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Compared 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Boomi Data Hub

Compared 19% of the time

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Compared 19% of the time

Oracle Product Master Data Management Cloud vs Boomi Data Hub

Compared 16% of the time

Stibo STEP MDM vs Boomi Data Hub

Compared 15% of the time

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

Compared 7% 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

Collibra Platform vs Qlik Talend Cloud

Compared 2% of the time

n8n vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Cloud Master Data Management (MDM)

February 2026

Download Boomi Data Hub product report

Buyer's Guide

Qlik Talend Cloud

January 2026

Download Qlik Talend Cloud product report

Also Known As

Dell Boomi MDM

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

Overview

Boomi Data Hub offers advanced features including a drag-and-drop interface, seamless integration, and user-friendly development processes, enhancing data integration and management across industries.

Boomi Data Hub supports users with its robust connectivity and unique capabilities like streamlined data integration and secure management. It offers a seamless transition from experimentation to production, benefiting sectors with its unified data models and domain-based data management. Its effectiveness can be noted in batch testing and data synchronization, although some find the drag-and-drop functionality challenging. Boomi's cost considerations, frequent icon changes, and potential for better Microsoft Azure integration are aspects under review. Users also look for enhancements in data cleansing and template suggestions to improve MDM capabilities.

What are Boomi Data Hub's standout features?

Drag-and-Drop Interface: Simplifies the development process with intuitive design.
Seamless Integration: Provides smooth connectivity across applications and data sources.
APM Management: Offers efficient application performance monitoring.
MDM Capabilities: Facilitates master data management for reliable data insights.
Data Synchronization: Ensures consistent data across systems.
Dashboards: Enhances data visibility and analysis.

What benefits and ROI should users watch for?

Time Efficiency: Reduces development and integration time.
Cost Savings: Lowers expenses related to data management and integration.
Secure Data Management: Protects sensitive data with robust security measures.
Compliance Assurance: Ensures adherence to industry regulations.

Boomi Data Hub is extensively applied in industries for tasks like database migration and unifying data views. Users in healthcare consolidate patient, payer, and provider data while others integrate data for market analysis. It enhances workflows for interfacing with orders and enabling AI-driven initiatives.

Boomi

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

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Boomi Data Hub vs. Qlik Talend Cloud

December 2025

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