IT Consultant at a tech services company with 201-500 employees
Real User
Top 10
Sep 26, 2025
Over the past two years, I have not only learned how to use Talend Data Integration effectively, but I have also developed good practices that make data prior to maintain. I really enjoy working on ETL and data integration projects because they bring real value to the business by making data cleaner and more accessible. I am excited about the possibility of applying these skills in a new environment and continuing to grow my expertise. I would rate Talend Data Integration 8 out of 10 mainly because of a few areas that could be improved. The user interface can feel complex for beginners, and processing very large data sets sometimes consumes a lot of resources. Also, debugging and error tracking could be more intuitive. These do not prevent us from using it effectively, but they are areas where I see room for improvement. My advice for others looking into using Talend Data Integration is to invest time in designing jobs in a structured and reusable way. This makes maintenance much easier as projects grow. I would also recommend taking advantage of automation and scheduling features early on, since they save a lot of time. Finally, new users should focus on learning best practices because it really improves performance and stability. We are not only a customer of Talend Data Integration, but also a partner. This partnership allows us to collaborate more closely with Talend Data Integration and leverage their solution in a more strategic way.
I am not familiar with Talend Data Integration's Visual Design Environment. I do not assess the importance of Talend Data Integration's pre-built connectors for my organization's data integration needs. This process obviously helps improve data quality. I do not know the main differences between Talend Data Integration and other data integration products. The score of 7 out of 10 is due to the limited real-time data processing capabilities mentioned.
Superintendente de TI (CIO) at a insurance company with 201-500 employees
Real User
Top 5
Apr 11, 2024
In a previous role, I implemented Talend's integration solutions, providing installation and training to my team. It was vital for processing data in our databases and BI platform. For instance, it efficiently handled file reception from clients, identifying errors and integrating data seamlessly. This streamlined approach improved efficiency, especially with a substantial increase in processing volumes to 38,000 batches. I recommend the product to others and rate it a ten out of ten.
The tool's learning curve for new users is good. I rate the product an eight out of ten. Before using Talend Data Integration, it's important to remember that it requires effort in data development. There are numerous configurations to handle, and the deployment process can be lengthy, depending on the specific version in use.
Developer at a tech services company with 10,001+ employees
Real User
Jul 26, 2022
This is a good tool. If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend. I would rate it an eight out of ten.
IT Manager at a insurance company with 10,001+ employees
Real User
Mar 4, 2021
My advice for anyone implementing this solution with respect to the remote engine and TMC connections is that it all depends upon the enterprise. Whether they have single VPC's where they scale up or multiple VPC's where they want to spin up. The cost increases or decreases based upon the strategy. So if I have my remote engine set up on-premise and I want to run the jobs from cloud, the cost will vary, and if you have the VPC to VPC connection then your cost will remain the same. With respect to reliability and with respect to scalability, if you need more job servers, let's say you are trying to process some terabytes or gigabytes or petabytes of data, and if you have two or three Talend licenses on cloud, then I would recommend buying more tokens so they can spin up more remote engines. The tokenization and the detokenization also apply with this solution like in the 7.3. I would rate Talend Cloud Integration an eight. The reason is that there are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done. That's why I would rate them at eight out of 10. I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try.
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...
Over the past two years, I have not only learned how to use Talend Data Integration effectively, but I have also developed good practices that make data prior to maintain. I really enjoy working on ETL and data integration projects because they bring real value to the business by making data cleaner and more accessible. I am excited about the possibility of applying these skills in a new environment and continuing to grow my expertise. I would rate Talend Data Integration 8 out of 10 mainly because of a few areas that could be improved. The user interface can feel complex for beginners, and processing very large data sets sometimes consumes a lot of resources. Also, debugging and error tracking could be more intuitive. These do not prevent us from using it effectively, but they are areas where I see room for improvement. My advice for others looking into using Talend Data Integration is to invest time in designing jobs in a structured and reusable way. This makes maintenance much easier as projects grow. I would also recommend taking advantage of automation and scheduling features early on, since they save a lot of time. Finally, new users should focus on learning best practices because it really improves performance and stability. We are not only a customer of Talend Data Integration, but also a partner. This partnership allows us to collaborate more closely with Talend Data Integration and leverage their solution in a more strategic way.
I am not familiar with Talend Data Integration's Visual Design Environment. I do not assess the importance of Talend Data Integration's pre-built connectors for my organization's data integration needs. This process obviously helps improve data quality. I do not know the main differences between Talend Data Integration and other data integration products. The score of 7 out of 10 is due to the limited real-time data processing capabilities mentioned.
In a previous role, I implemented Talend's integration solutions, providing installation and training to my team. It was vital for processing data in our databases and BI platform. For instance, it efficiently handled file reception from clients, identifying errors and integrating data seamlessly. This streamlined approach improved efficiency, especially with a substantial increase in processing volumes to 38,000 batches. I recommend the product to others and rate it a ten out of ten.
The tool's learning curve for new users is good. I rate the product an eight out of ten. Before using Talend Data Integration, it's important to remember that it requires effort in data development. There are numerous configurations to handle, and the deployment process can be lengthy, depending on the specific version in use.
I rate the product an eight out of ten.
This is a good tool. If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend. I would rate it an eight out of ten.
My advice for anyone implementing this solution with respect to the remote engine and TMC connections is that it all depends upon the enterprise. Whether they have single VPC's where they scale up or multiple VPC's where they want to spin up. The cost increases or decreases based upon the strategy. So if I have my remote engine set up on-premise and I want to run the jobs from cloud, the cost will vary, and if you have the VPC to VPC connection then your cost will remain the same. With respect to reliability and with respect to scalability, if you need more job servers, let's say you are trying to process some terabytes or gigabytes or petabytes of data, and if you have two or three Talend licenses on cloud, then I would recommend buying more tokens so they can spin up more remote engines. The tokenization and the detokenization also apply with this solution like in the 7.3. I would rate Talend Cloud Integration an eight. The reason is that there are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done. That's why I would rate them at eight out of 10. I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try.