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Talend Data Fabric Reviews

Vendor: Qlik
4.1 out of 5
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What is Talend Data Fabric?

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.

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Talend Data Fabric is the #35 ranked solution in top Data Integration Tools. PeerSpot users give Talend Data Fabric an average rating of 8.2 out of 10. Talend Data Fabric is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Talend Data Fabric vs Informatica Intelligent Data Management Cloud (IDMC). Talend Data Fabric is popular among the large enterprise segment, accounting for 47% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a comms service provider, accounting for 10% of all views.
Buyer's Guide
Talend Data Fabric
April 2026
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Talend Data Fabric mindshare

As of May 2026, the mindshare of Talend Data Fabric in the Data Integration category stands at 0.9%, down from 1.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Talend Data Fabric0.9%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.8%
Data Integration

PeerResearch reports based on Talend Data Fabric reviews

TypeTitleDate
CategoryData IntegrationMay 1, 2026Download
ProductReviews, tips, and advice from real usersMay 1, 2026Download
ComparisonTalend Data Fabric vs Informatica Intelligent Data Management Cloud (IDMC)May 1, 2026Download
ComparisonTalend Data Fabric vs SSISMay 1, 2026Download
ComparisonTalend Data Fabric vs Informatica PowerCenterMay 1, 2026Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.03.6%92%214 interviewsAdd to research
Teradata4.11.0%88%83 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Talend Data Fabric is valued for its 900 connectors enabling seamless integration with various tools and cloud systems. Users highlight its ease of data integration, connectivity, and schema management, supporting multi-cloud orchestration. The user-friendly GUI simplifies learning and administration. Developers appreciate customization flexibility, though pricing poses challenges since the transition to Click.
  • "Talend has very good support for big data."
  • "What I find most valuable about this solution is the 900 connectors because it allows me to integrate any tool and any cloud system I need to integrate and they have a connector out of the box."
  • "It is a smart tool for us to design data pipelines, letting us populate our three data lake instances, and we like this solution for its connection capabilities since it is very important to be able to use many different types of software."

Room for Improvement

Talend Data Fabric requires improvements in deployment processes and tool integration while adopting a hybrid cloud vision. Users find its architecture complex, needing advanced configuration skills. Enhancements in documentation, especially for data governance, are necessary. Email notifications lack sufficient setup guidance. Memory management tools need refinement, and pricing remains a concern. Users identify the need for better pallet search design and more synchronized components to improve usability compared to competitors like Microsoft SSIS.
  • "We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter."
  • "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."
  • "Deployment can be difficult, but I didn't test the latest version yet."

Pricing

  • "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"

Popular Use Cases

Organizations primarily use Talend Data Fabric for designing data pipelines, data integration, and quality purposes. It is deployed on-premises and in the cloud, assisting with populating data lakes. Its capabilities include integrating with various software, anonymizing data, and supporting business intelligence analytics. Users manage data orchestration with tools like Spark or Databricks. Some are transitioning to other tools due to licensing costs and evolving needs, replacing Talend with solutions like Informatica and DBT.

Service and Support

Customers initially found Talend Data Fabric's support challenging, but it has improved significantly in the past year, meeting expectations for companies like Air France and KLM. Customers appreciate having responsive account managers and effective technical support, though some experience delays due to untrained staff. Support quality may vary based on service level agreements subscribed to by companies. A dedicated client team managing vendor relations helps streamline issue reporting without direct user involvement.

Deployment

Setting up Talend Data Fabric is generally straightforward, often taking one person about a week. The process involves handling Java version issues on laptops. Deployments can take a few weeks, especially for complex architectures. Users mention challenges when lacking experience, occasionally needing professional support. Some faced issues with version migrations. Despite this, the tool is user-friendly and doesn't require extensive knowledge, though obtaining credentials can be difficult due to organizational factors.

Scalability

Talend Data Fabric is highly scalable due to its code generation capabilities, allowing scalability on multiple servers without additional fees. Users appreciate its flexibility for horizontal and vertical scaling, though challenges arise when projects demand extensive memory, requiring code adjustments. Many plan to expand user access, considering its ease of scaling. Despite some limits related to memory usage, users rate its scalability favorably and actively seek to maximize its potential by adding more users.

Stability

Talend Data Fabric is noted for its stability by users. They experience no major issues, even when handling large datasets. Users appreciate version 7.3.1 but mention frequent patch updates from Talend Studio as a challenge. While certain tasks may require manual oversight due to sleep states, users report no significant glitches. With regular server restarts, there are no lags or crashes, rating the stability highly.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Talend Data Fabric Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise2
By reviewers
By visitors reading reviews
Company SizeCount
Small Business41
Midsize Enterprise35
Large Enterprise67
By visitors reading reviews

Top industries

By visitors reading reviews
Comms Service Provider
10%
Financial Services Firm
10%
Computer Software Company
9%
University
8%
Insurance Company
7%
Manufacturing Company
6%
Retailer
6%
Educational Organization
6%
Government
5%
Construction Company
4%
Transportation Company
3%
Real Estate/Law Firm
3%
Healthcare Company
3%
Outsourcing Company
3%
Non Profit
3%
Wholesaler/Distributor
2%
Consumer Goods Company
2%
Marketing Services Firm
1%
Recreational Facilities/Services Company
1%
Religious Institution
1%
Legal Firm
1%
Agriculture
1%
Hospitality Company
1%
Energy/Utilities Company
1%
Wellness & Fitness Company
1%
Logistics Company
1%

Compare Talend Data Fabric with alternative products

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Learn more about Talend Data Fabric

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.

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Product Categories

Product Categories
Data Integration

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Talend Data Fabric Reviews Summary
Author infoRatingReview Summary
Architect at a tech services company with 201-500 employees3.5I appreciated Talend Data Fabric's flexibility and customization, but rising costs and complex scalability led us to transition to other tools. Despite its stability, the pricing model and Java-based execution became major challenges over ten years of use.
Director of analytics at Analytics Aura4.0I use Talend Data Fabric primarily for setting up data lakes, and I find its GUI-based interface very user-friendly. However, the data governance aspect needs improvement, with limited documentation and a lack of maturity that doesn't meet my expectations.
Presales Manager at Artha Solutions4.5Talend Data Fabric is a robust, all-in-one data management solution, ideal for managing data across multi-cloud and on-premise environments. Its multi-tool suite, though complex to configure, offers seamless integration without relying on multiple vendors.
Data Architect at Prolifics4.0I found Talend's ESB and data integration valuable for our e-commerce needs, offering good stability and scalability. While setup was easy and support good, frequent patches and less refined UI elements are areas for improvement. I rate it 8/10.
Director at a comms service provider with 51-200 employees4.5I find Talend Data Fabric's 900 connectors, stability, and scalability very valuable for integration and analytics. While customer service is great, I desire better integration with other tools and more machine learning capabilities.
Senior Enterprise Information Architect at a transportation company with 10,001+ employees4.0I appreciate Talend Data Fabric's data pipeline design, robust connectivity, and scalability. While deployment can be challenging, customer service has improved, and the tool is maturing positively. Integrating complex sources sometimes requires experts.
Data engineer at Zealtechdata.co.ke4.5I use Talend Data Fabric for data extraction and database uploads, appreciating its data connection, business queries, and schema management features. However, email notification configuration lacks clarity. I chose it over Oracle for its open-source nature and scalability.