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-premise only solution or cloud. Deployment for us is simple. We have done major deployments of Talend Data Fabric in this region. Regarding real-time capabilities, we have not done many projects in that area. We did a few with Kafka or Spark streaming in the initial days, a few years back. However, after that, I have not personally much used the real-time capabilities of Talend Data Fabric. There are certain components which help us to get the data quality checks done, and we extensively use those. Overall, I would rate Talend Data Fabric nine out of ten. I was able to accomplish a lot of my complex things using Talend Data Fabric, so it is always a go-to product for me. I would give this review an overall rating of nine out of ten.
Architect at a tech services company with 201-500 employees
Real User
Top 20
Dec 24, 2025
At the moment of phasing out Talend Data Fabric, maintenance from my end is not applicable. A new user would need to monitor the drivers associated with the tools being used closely. For example, if connected to a frequently updated database, failing to update the driver could lead to issues down the line. Therefore, it is crucial to plan a roadmap to keep drivers and connection strings up to date. Everything I mentioned applies to the current version of Talend Data Fabric right now. The technology is different because it is more on top of the cloud version, where I do not control the migration process; it migrates by itself, and I must deal with the consequences. While the tool is always up to date, I need to know the best practices to avoid breaking my code with every new version. I previously had a partnership with Qlik while working with Talend Data Fabric, using Qlik Sense for many years. However, that partnership is not active at the moment, as we are phasing out from those tools. I would rate this product a seven out of ten.
I would rate Talend Data Fabric eight out of ten. I am just a user of the product and do not have any partnership with Talend. There are multiple tools available for data governance, and improvements in this area could be beneficial.
With Talend Data Fabric, you can spin up a Spark cluster and utilize structured streaming to process data in real time as it arrives. This capability allows you to test and analyze data on the fly. Additionally, suppose you're working with APIs in real-time. In that case, Talend Data Fabric can reprocess data by connecting to APIs, making it a powerful tool for handling streaming data and API-driven processes. One guy is enough for the maintenance. Overall, I rate the solution a nine out of ten.
I would recommend Talend as an integration solution. Talend has very good support for big data. I would say Talend is just behind Informatica and Gartners Leadership Quadrant. I would rate this solution an eight out of ten.
Director at a comms service provider with 51-200 employees
Real User
Jan 12, 2020
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.
Senior Enterprise Information Architect at a transportation company with 10,001+ employees
Real User
Sep 23, 2019
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 translate the recommendations in the figures of the source, it is very, very difficult. This is a one lesson that we learned. You need to have a experts, but it is not a full time job. When you want to connect to SAP source, you ask a SAP guy, he works a couple of days and the job is done. You definitively need experts for retrieving data, though. I would rate this as eight of ten. It doesn't get rated a ten, because this is not a perfect tool. Each release brings new features and I think the tool is still maturing, but definitely in the right direction.
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...
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-premise only solution or cloud. Deployment for us is simple. We have done major deployments of Talend Data Fabric in this region. Regarding real-time capabilities, we have not done many projects in that area. We did a few with Kafka or Spark streaming in the initial days, a few years back. However, after that, I have not personally much used the real-time capabilities of Talend Data Fabric. There are certain components which help us to get the data quality checks done, and we extensively use those. Overall, I would rate Talend Data Fabric nine out of ten. I was able to accomplish a lot of my complex things using Talend Data Fabric, so it is always a go-to product for me. I would give this review an overall rating of nine out of ten.
At the moment of phasing out Talend Data Fabric, maintenance from my end is not applicable. A new user would need to monitor the drivers associated with the tools being used closely. For example, if connected to a frequently updated database, failing to update the driver could lead to issues down the line. Therefore, it is crucial to plan a roadmap to keep drivers and connection strings up to date. Everything I mentioned applies to the current version of Talend Data Fabric right now. The technology is different because it is more on top of the cloud version, where I do not control the migration process; it migrates by itself, and I must deal with the consequences. While the tool is always up to date, I need to know the best practices to avoid breaking my code with every new version. I previously had a partnership with Qlik while working with Talend Data Fabric, using Qlik Sense for many years. However, that partnership is not active at the moment, as we are phasing out from those tools. I would rate this product a seven out of ten.
I would rate Talend Data Fabric eight out of ten. I am just a user of the product and do not have any partnership with Talend. There are multiple tools available for data governance, and improvements in this area could be beneficial.
With Talend Data Fabric, you can spin up a Spark cluster and utilize structured streaming to process data in real time as it arrives. This capability allows you to test and analyze data on the fly. Additionally, suppose you're working with APIs in real-time. In that case, Talend Data Fabric can reprocess data by connecting to APIs, making it a powerful tool for handling streaming data and API-driven processes. One guy is enough for the maintenance. Overall, I rate the solution a nine out of ten.
It is a good tool compared to other vendors. I recommend it to others and rate it a nine out of ten.
I would recommend Talend as an integration solution. Talend has very good support for big data. I would say Talend is just behind Informatica and Gartners Leadership Quadrant. I would rate this solution an eight out of ten.
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.
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 translate the recommendations in the figures of the source, it is very, very difficult. This is a one lesson that we learned. You need to have a experts, but it is not a full time job. When you want to connect to SAP source, you ask a SAP guy, he works a couple of days and the job is done. You definitively need experts for retrieving data, though. I would rate this as eight of ten. It doesn't get rated a ten, because this is not a perfect tool. Each release brings new features and I think the tool is still maturing, but definitely in the right direction.