Talend Data Fabric Overview

Talend Data Fabric is the #27 ranked solution in our list of top Data Integration Tools. It is most often compared to Talend Data Management Platform: Talend Data Fabric vs Talend Data Management Platform

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.

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.

Buyer's Guide

Download the Data Integration Tools Buyer's Guide including reviews and more. Updated: June 2021

Talend Data Fabric Video

Pricing Advice

What users are saying about Talend Data Fabric pricing:
  • "There are no additional licensing fees when you scale"

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EP
Senior Enterprise Information Architect at a transportation company with 10,001+ employees
Real User
Smart tool to design data pipelines that has good connection capabilities

What is our primary use case?

We are using the on-premises version. 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.

Pros and Cons

  • "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."
  • "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."

What other advice do I have?

We needed a smart supporter because this is the first type for the users. The first time the user plays with the tool is always the most difficult period. We have a couple of experts to help with that. It is very, very important to have technical experts on the sources. If you want to connect an ACP source, for example, whatever the flavor, if you don't have your team or you don't ask the SAP expert, you will fail. This is very easy for a SAP expert, because the Talend documentation is very smart. You fill in talend.com and everything is well explained. If, however, you are not able to…
JW
Director at a comms service provider with 51-200 employees
Real User
Flexible deployment and has good manageability of not only developing workflows but also deploying, monitoring and managing

What is our primary use case?

This program is deployed in our organization on-premise and in the cloud and we use it for data integration and data quality purposes. We also use it to provide Business Intelligence analytics.

Pros and Cons

  • "We've had no issues with the stability so far."
  • "I would like to see better integration with other tools."

What other advice do I have?

On a scale from one to 10, I rate this program a nine, because there is always room for improvement. Additional features that I would like to see included in the next release of Talend Data Fabric is having more machine learning capabilities inside the product.