Qlik Talend Cloud vs Talend Data Fabric comparison

Why PeerSpot?

Qlik Talend Cloud and Talend Data Fabric are both solutions in the Data Integration category. Qlik Talend Cloud is ranked #7 with an average rating of 7.9, while Talend Data Fabric is ranked #34 with an average rating of 8.0. Qlik Talend Cloud holds a 2.5% mindshare in DI, compared to Talend Data Fabric’s 0.9% mindshare. Additionally, 89% of Qlik Talend Cloud users are willing to recommend the solution, compared to 85% of Talend Data Fabric users who would recommend it.

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
8,550 Comparison Views

89% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

3,141 Views
2,984 Comparison Views

85% willing to recommend

Qlik Talend Cloud

Talend Data Fabric

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and Talend Data Fabric compete in the category of data integration and management tools. Talend Data Fabric seems to have an advantage due to its comprehensive feature set and strong data insights capabilities.

Features: Qlik Talend Cloud offers intuitive data analytics, real-time data integration, and visualizations, providing user-friendly rapid insights. Talend Data Fabric includes extensive data preparation, governance, and powerful integration capabilities, making it effective in complex data environments.

Room for Improvement: Qlik Talend Cloud could improve its capacity for handling large-scale data environments and support for complex governance. It might benefit from more robust data stewardship features and enhanced compatibility with diverse data systems. Talend Data Fabric could focus on improving initial cost-effectiveness and making its user interface more intuitive. It should work on simplifying its extensive feature set for new users and optimizing resource usage in large deployments.

Ease of Deployment and Customer Service: Qlik Talend Cloud has a straightforward deployment process with cloud-based flexibility and reliable customer service. Talend Data Fabric supports versatile deployment, including both cloud and on-premises options, with strong customer support and comprehensive integration assistance, offering a better experience for complex setups.

Pricing and ROI: Qlik Talend Cloud is noted for competitive pricing and rapid ROI, appealing to cost-conscious organizations. Talend Data Fabric commands a potentially higher initial price but justifies it with substantial ROI through advanced features and scalability.

To learn more, read our detailed Qlik Talend Cloud vs. Talend Data Fabric Report (Updated: November 2026).

Buyer's Guide

Qlik Talend Cloud vs. Talend Data Fabric

November 2026

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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

Qlik Talend Cloud

Ranking in Data Integration

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)

Talend Data Fabric

Ranking in Data Integration

34th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Qlik Talend Cloud is 2.5%, up from 1.8% compared to the previous year. The mindshare of Talend Data Fabric is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	2.5%
Talend Data Fabric	0.9%
Other	96.6%

Data Integration

Featured Reviews

Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. 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. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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Salini Ravindranath

Solution Architect at Spire Solutions

Data governance has improved and complex integrations are handled with flexible customization

Regarding Talend Data Fabric, the ease of use and the customization options that are available are particularly valuable. There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready. Talend Data Catalog is another product that, when combined with Talend Data Fabric, can be used for the data governance. The stewardship, ownership, and curation happen mainly from the Data Catalog side. Within Talend Data Fabric, the role-based access control is used for user segregations such as security, infrastructure-related or integration-related activities. It bifurcates the roles and responsibilities. From the data standpoint, the RBAC functions with the help of Data Catalog.

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Quotes from Members

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

Pros

"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."

"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."

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

"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."

"The most valuable features of the Talend Data Management Platform are the components."

"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."

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

More Qlik Talend Cloud pros

"The Talend data integration has been one of the most valuable features."

"From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything."

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"The initial setup is very easy."

"We've had no issues with the stability so far."

"There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready."

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

More Talend Data Fabric pros

Cons

"The setup cost is very expensive."

"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."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"The sales and market department could improve the Talend Data Management Platform."

"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"The biggest challenge with Talend was its performance."

"The product's setup process could be simpler."

More Qlik Talend Cloud cons

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

"I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"The downside, however, is indeed the pricing, which has been the biggest challenge; since it went to Click, there is no longer a free license version such as Talend Open Studio, so either you pay or you do not have anything."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

"Support is something that drives me crazy these days."

"Deployment can be difficult, but I didn't test the latest version yet."

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

More Talend Data Fabric cons

Pricing and Cost Advice

"The product pricing is considered very good, especially compared to other data integration tools in the market."

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

"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."

"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 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."

"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 tool is cheap."

More Qlik Talend Cloud pricing and cost advice

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

"There are no additional licensing fees when you scale"

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Comms Service Provider

15%

Manufacturing Company

Insurance Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

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&#3...

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 deta...

See all answers

What needs improvement with Talend Data Fabric?

One thing I found missing was integrations with SAP systems. We have extensively implemented one complex SAP project with Talend Data Fabric. At the same time, there were some complexities there, a...

See all answers

What is your primary use case for Talend Data Fabric?

We are involved with multiple vendors, including Talend, Alteryx, and Informatica in the data management and governance space. In the classification and governance area, we use BigID, Spirion, and ...

See all answers

What advice do you have for others considering Talend Data Fabric?

Initially, we were majorly using on-premise solutions and then we have moved into cloud deployments. It depends on the client and their requirement, whether they would want to go ahead with an on-p...

See all answers

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Compared 2% of the time

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IBM webMethods Hybrid Integration vs Qlik Talend Cloud

Compared 2% of the time

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Compared 8% of the time

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Compared 7% of the time

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Compared 5% of the time

WSO2 Enterprise Integrator vs Talend Data Fabric

Compared 4% of the time

SAS Data Management vs Talend Data Fabric

Compared 4% of the time

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Product Reports

Buyer's Guide

Qlik Talend Cloud

October 2026

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Buyer's Guide

Talend Data Fabric

October 2026

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Also Known As

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

No data available

Overview

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

Talend Data Fabric provides a comprehensive solution for managing data pipelines, offering features like data connection, business queries, and schema management. Its user-friendly GUI and multi-cloud orchestration capabilities make it a critical tool for modern data processing needs.

Talend Data Fabric enhances data management by providing 900 connectors for tool integration, supporting multi-cloud orchestration without additional investments. With a user-friendly GUI in Talend Studio and an admin console, it ensures efficient task management. Customization is a key feature valued by developers. While priced as a challenge post-Click transition, eliminating its free license version, opportunities lie in improving its email configuration, deployment ease across platforms, and better integration with other tools. Documentation on data governance and memory management tools could be refined, and the integration of machine learning should be streamlined. Use cases involve data extraction, uploading, integration, and quality management. Organizations utilize it for designing data pipelines, popularizing APIs, anonymizing data, and managing big data processing through clusters like Spark.

What are the main features of Talend Data Fabric?

Data Connection: Facilitates robust connections across multi-cloud environments.
Schema Management: Streamlines schema creation and modifications.
Business Queries: Provides powerful tools for crafting detailed queries.
User-Friendly GUI: Simplifies navigation through Talend Studio and admin console.
900 Connectors: Offers extensive tool integration potential.
Customization: Allows developers to tailor solutions to specific needs.

What benefits should users look for?

Comprehensive Integration: Reduces the need for multiple vendors.
Cloud Support: Enables seamless orchestration across multiple clouds.
Big Data Processing: Manages large-scale data efficiently through clusters like Spark.
API Integration: Facilitates smooth connections with APIs for data interchange.

In industries like finance and healthcare, Talend Data Fabric is used to design secure data pipelines, ensuring compliance and data integrity. Retailers utilize it for streamlined supply chain data integration, while telecommunications rely on it for customer data management and analytics. Its multi-cloud capabilities and rich connector library support diverse industry needs.

Qlik

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Information Not Available

Buyer's Guide

Qlik Talend Cloud vs. Talend Data Fabric

November 2026

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