ETL developer at a tech vendor with 10,001+ employees
Real User
Top 20
Dec 4, 2025
As companies decide to decommission Talend due to the license cost, my team has migrated all the Talend ETL jobs to Java, Spring Boot, and Spark, resulting in many Talend developers leaving the project since there is no work for them to do. My advice for others looking into using Qlik Talend Cloud is to consider shifting to other cloud technologies like Azure Data Factory or AWS, as there are multiple ETL tools available that they can switch to. I have rated this review as a 7.
Assistant Consultant at a tech vendor with 10,001+ employees
Real User
Top 10
Oct 2, 2025
I rate Talend Data Integration a 9.5 out of 10. If others are looking into using Talend Data Integration, my advice is to go with the TMC license along with data preparation and data stewardship, as it will enhance your project's accuracy and data quality while reducing manual interventions. Talend Data Integration is a great tool, and if they could reduce the license cost, it would be the best tool on the market.
Senior Consultant at a tech services company with 201-500 employees
Real User
Top 5
Oct 2, 2025
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details about the data monitoring products we integrate with Talend Data Quality because it is proprietary information. I'm not involved in pricing as it's procured by somebody else. I am satisfied with the performance part, and I think it could be better. On a scale of 1-10, I rate Talend Data Quality an 8.
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.
It is one of those products where you rarely have a salesman tell you that it can do something, and then you put it in and realize that the salesman was actually not telling you the whole truth. In this case, the salesman told us what it could do, and we have unpacked it and it can do way more than what we actually ever intended to. Initially we had a footprint we wanted it to finish. We have done what we originally wanted and we have done so much more. There is so much more that we can do with it that we just have not had time to deal with. The data matching and cleansing type functionality, we are doing a lot of that because we are dealing with quite large data sets. If you tried to write code, it would just be spending more time debugging it than anything else. So we really leverage a lot of the Qlik toolset where we can. We have not hooked up to the AI yet. That is just a little bit too far in advance of what we are actually doing, our capability at the moment. It would probably be of benefit, but at the moment it is all about getting the data clean from one end to the other. We are getting on top of it a lot faster than what we originally thought we would be doing. The security on the product is okay. It is the way that Java applications interact with security software that is the challenge. The product itself is fantastic, but security software does not Java applications and Talend Data Management Platform is a Java application. I rate Talend Data Management Platform a nine out of ten.
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 APM is similar, and they have certain tools in Talend, such as scheduling, that provide real-time data. Talend can be complex, but it presents a challenge. The version is much simpler and easier to use. Additionally, it allows non-technical users to access the system, saving resource costs and reducing time wasted on the data platform. Each one of them has their particular functions. Informatica and Talend have their specific details, which are good. The current UI of Talend and interfaces is good. It's priced at 30,000. Even though it is a startup, Talend's data suite is more promising and they are more agile. Dell Data Suite is a part of the package that provides compliance and establishing a relationship. The file management system is part of it. If you want to use it entirely, that's a different package. If you're looking at ETL, you can use the file management system as a staging area, where the cost is a little higher on the second side. More focus is on data transformation, the overall process, and compliance. Other ETL tools cost between fifteen and twenty thousand dollars, but Talend's data suite is a fraction of that price. Overall, I rate the solution an eight 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.
The key to success lies in the adoption of the solution within the customer's processes and services. My recommendation is to initiate the implementation by focusing on critical data. By starting with essential data sets, you can swiftly demonstrate tangible results to the business. This approach is strategic because, often, the technical aspects of the technology are not easily comprehensible to the business stakeholders. Begin with a small yet high-value segment to enhance data quality, and then gradually extend the implementation to cover the entire organization. This phased approach ensures a smoother transition and a more significant impact on overall business processes. Overall, I would rate it eight out of ten.
Software Developer at a tech consulting company with 51-200 employees
Real User
Dec 12, 2023
It's a fairly self-explanatory tool. We get a lot of advice from the community. People must register with the community. It will help them get started very quickly. Overall, I rate the product a nine out of ten.
More than ten people use the Talend MDM Platform within the company. Three to four people take care of the deployment and maintenance of the platform. Until the Talend team gives a reliable reference model for configuration, my company is stuck and can't increase the visibility or usage of the Talend MDM Platform. Talend MDM Platform is a good solution, so I'm rating it seven out of ten. My advice to anyone looking into using the Talend MDM Platform is to look for existing references for it because right now, what's missing in the solution is the technological reference.
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...
As companies decide to decommission Talend due to the license cost, my team has migrated all the Talend ETL jobs to Java, Spring Boot, and Spark, resulting in many Talend developers leaving the project since there is no work for them to do. My advice for others looking into using Qlik Talend Cloud is to consider shifting to other cloud technologies like Azure Data Factory or AWS, as there are multiple ETL tools available that they can switch to. I have rated this review as a 7.
I rate Talend Data Integration a 9.5 out of 10. If others are looking into using Talend Data Integration, my advice is to go with the TMC license along with data preparation and data stewardship, as it will enhance your project's accuracy and data quality while reducing manual interventions. Talend Data Integration is a great tool, and if they could reduce the license cost, it would be the best tool on the market.
Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details about the data monitoring products we integrate with Talend Data Quality because it is proprietary information. I'm not involved in pricing as it's procured by somebody else. I am satisfied with the performance part, and I think it could be better. On a scale of 1-10, I rate Talend Data Quality an 8.
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.
It is one of those products where you rarely have a salesman tell you that it can do something, and then you put it in and realize that the salesman was actually not telling you the whole truth. In this case, the salesman told us what it could do, and we have unpacked it and it can do way more than what we actually ever intended to. Initially we had a footprint we wanted it to finish. We have done what we originally wanted and we have done so much more. There is so much more that we can do with it that we just have not had time to deal with. The data matching and cleansing type functionality, we are doing a lot of that because we are dealing with quite large data sets. If you tried to write code, it would just be spending more time debugging it than anything else. So we really leverage a lot of the Qlik toolset where we can. We have not hooked up to the AI yet. That is just a little bit too far in advance of what we are actually doing, our capability at the moment. It would probably be of benefit, but at the moment it is all about getting the data clean from one end to the other. We are getting on top of it a lot faster than what we originally thought we would be doing. The security on the product is okay. It is the way that Java applications interact with security software that is the challenge. The product itself is fantastic, but security software does not Java applications and Talend Data Management Platform is a Java application. I rate Talend Data Management Platform a nine out of ten.
Overall, my advice is to consider this product as a strong option. I would rate the overall solution eight out of ten.
I recommend Informatica over Talend due to Talend's performance issues.
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 APM is similar, and they have certain tools in Talend, such as scheduling, that provide real-time data. Talend can be complex, but it presents a challenge. The version is much simpler and easier to use. Additionally, it allows non-technical users to access the system, saving resource costs and reducing time wasted on the data platform. Each one of them has their particular functions. Informatica and Talend have their specific details, which are good. The current UI of Talend and interfaces is good. It's priced at 30,000. Even though it is a startup, Talend's data suite is more promising and they are more agile. Dell Data Suite is a part of the package that provides compliance and establishing a relationship. The file management system is part of it. If you want to use it entirely, that's a different package. If you're looking at ETL, you can use the file management system as a staging area, where the cost is a little higher on the second side. More focus is on data transformation, the overall process, and compliance. Other ETL tools cost between fifteen and twenty thousand dollars, but Talend's data suite is a fraction of that price. Overall, I rate the solution an eight 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.
The key to success lies in the adoption of the solution within the customer's processes and services. My recommendation is to initiate the implementation by focusing on critical data. By starting with essential data sets, you can swiftly demonstrate tangible results to the business. This approach is strategic because, often, the technical aspects of the technology are not easily comprehensible to the business stakeholders. Begin with a small yet high-value segment to enhance data quality, and then gradually extend the implementation to cover the entire organization. This phased approach ensures a smoother transition and a more significant impact on overall business processes. Overall, I would rate it eight out of ten.
I rate the product an eight out of ten.
It's a fairly self-explanatory tool. We get a lot of advice from the community. People must register with the community. It will help them get started very quickly. Overall, I rate the product a nine out of ten.
More than ten people use the Talend MDM Platform within the company. Three to four people take care of the deployment and maintenance of the platform. Until the Talend team gives a reliable reference model for configuration, my company is stuck and can't increase the visibility or usage of the Talend MDM Platform. Talend MDM Platform is a good solution, so I'm rating it seven out of ten. My advice to anyone looking into using the Talend MDM Platform is to look for existing references for it because right now, what's missing in the solution is the technological reference.