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Talend Data Fabric Reviews

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What is Talend Data Fabric?

Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Get the Talend Data Fabric Buyer's Guide and find out what your peers are saying about Talend Data Fabric, Informatica Intelligent Data Management Cloud (IDMC), Azure Data Factory and more!
Talend Data Fabric is the #44 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 55% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 13% of all views.
Buyer's Guide
Talend Data Fabric
December 2025
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Talend Data Fabric mindshare

As of December 2025, the mindshare of Talend Data Fabric in the Data Integration category stands at 0.8%, down from 1.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Talend Data Fabric0.8%
SSIS4.6%
Informatica PowerCenter4.4%
Other90.2%
Data Integration

PeerResearch reports based on Talend Data Fabric reviews

TypeTitleDate
CategoryData IntegrationDec 30, 2025Download
ProductReviews, tips, and advice from real usersDec 30, 2025Download
ComparisonTalend Data Fabric vs SSISDec 30, 2025Download
ComparisonTalend Data Fabric vs Informatica Intelligent Data Management Cloud (IDMC)Dec 30, 2025Download
ComparisonTalend Data Fabric vs Azure Data FactoryDec 30, 2025Download
Suggested products
TitleRatingMindshareRecommending
Informatica Intelligent Data Management Cloud (IDMC)4.03.9%92%214 interviewsAdd to research
Azure Data Factory4.03.7%92%93 interviewsAdd to research
 
 
Key learnings from peers
Last updated Dec 28, 2025

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.
  • "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."
  • "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."

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.
  • "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."
  • "The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."
  • "Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

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 Business31
Midsize Enterprise38
Large Enterprise86
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Comms Service Provider
8%
Insurance Company
7%
University
7%
Retailer
7%
Manufacturing Company
7%
Educational Organization
6%
Government
6%
Real Estate/Law Firm
4%
Wholesaler/Distributor
3%
Non Profit
3%
Transportation Company
3%
Maritime Company
2%
Consumer Goods Company
2%
Healthcare Company
1%
Recreational Facilities/Services Company
1%
Outsourcing Company
1%
International Affairs Institute
1%
Energy/Utilities Company
1%
Construction Company
1%
Logistics Company
1%
Legal Firm
1%
Hospitality Company
1%
Media Company
1%
Wellness & Fitness Company
1%
Performing Arts
1%
Political Organization
1%
Agriculture
1%

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Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

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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 Prolifics4.0No summary available
Director at a comms service provider with 51-200 employees4.5No summary available
Senior Enterprise Information Architect at a transportation company with 10,001+ employees4.0No summary available
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.