ETL developer at a tech vendor with 10,001+ employees
Real User
Top 10
Dec 4, 2025
To improve Qlik Talend Cloud, I think the license cost should be reduced, and it should collaborate with multiple companies like Salesforce to enhance its performance.
Assistant Consultant at a tech vendor with 10,001+ employees
Real User
Top 10
Oct 2, 2025
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license. The customer support for Talend Data Integration is good because I connect directly with the Talend support team when facing issues, and there is also a Talend technical architect who supports us.
Senior Consultant at a tech services company with 201-500 employees
Real User
Top 5
Oct 2, 2025
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.
IT Consultant at a tech services company with 201-500 employees
Real User
Top 10
Sep 26, 2025
The user interface of Talend Data Integration could be more simple and intuitive to reduce learning curves. Processing large volumes of data sometimes consumes a lot of resources. Automatic optimization would be very useful. Managing and deploying multiple jobs in complex environments could be easier with stronger versioning tools. Debugging and error tracking could be more visual and faster. It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms. Real-time and streaming integration could be improved to complement batch processing. The documentation could be more detailed with more practical and concrete examples.
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, if I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.
There are always areas for improvement. They have actually in the last 12 months done a lot of work on the UI. If you had contacted me at Christmas last year, the UI was really dated. Now, they have not finished cleaning it up or bringing it into a new flash version. But because it has such a simple design, it is actually so easy to use. They have taken a lot of the complexity out of it, so you just click on a button and it does it all for you. I think one weakness, which I might have worked around today, is spatial data. But that might change by Monday. That is again because there is so much functionality, actually the real weakness is they have got too much functionality, if that is a weakness. Because there are 10 ways to do everything, and each way has its own pros and cons, and you really have to make your decision about which way to implement it. When you have five developers or three developers doing something, it is very easy for three people to do the same thing three different ways. On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something. It means that a lot of our custom environments are fantastic because we can just plug it in a slightly different way. But because it does so much, it is a lot to get your head around the whole thing. We tend to focus on the small stuff that we are adding value to right now.
Consultant en intelligence décisionnelle at VO2 Group
Consultant
Top 5
Jan 20, 2025
I understand this might relate more to another platform, like the cloud API cloud platform. Nevertheless, data management could also encompass APIs and real-time streaming data integration. I wonder if, at the same price, the API component could be added, which would be beneficial.
Software Engineer at Higher Colleges of Technology
Real User
Top 5
Jul 16, 2024
The biggest challenge with Talend was its performance. Sometimes data cleaning from the data warehouse was very slow, and we had to restart the server to enhance performance.
Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process.
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic considerations. It would be beneficial to have added a greater openness in the tool, allowing for the presentation of data quality results in alternative tools, which would provide increased flexibility in sharing and utilizing data quality outcomes.
Principal Consultant at a tech consulting company with 1,001-5,000 employees
Reseller
Dec 13, 2023
The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell.
Software Developer at a tech consulting company with 51-200 employees
Real User
Dec 12, 2023
The vendor successfully created a cloud solution. However, lifting and shifting all the functionality available on-premises will be a heavy task. They are working on it. The product must enhance the data quality. Data lineage features must be integrated seamlessly into the data integration platform.
What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team.
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...
To improve Qlik Talend Cloud, I think the license cost should be reduced, and it should collaborate with multiple companies like Salesforce to enhance its performance.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license. The customer support for Talend Data Integration is good because I connect directly with the Talend support team when facing issues, and there is also a Talend technical architect who supports us.
I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not well-versed with the latest technology, so I cannot suggest additional functions that could make the product better or simplify my work with it. Generally, whatever jobs we have written in Talend Data Quality are working fine, so I am satisfied with that.
The user interface of Talend Data Integration could be more simple and intuitive to reduce learning curves. Processing large volumes of data sometimes consumes a lot of resources. Automatic optimization would be very useful. Managing and deploying multiple jobs in complex environments could be easier with stronger versioning tools. Debugging and error tracking could be more visual and faster. It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms. Real-time and streaming integration could be improved to complement batch processing. The documentation could be more detailed with more practical and concrete examples.
I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, if I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.
There are always areas for improvement. They have actually in the last 12 months done a lot of work on the UI. If you had contacted me at Christmas last year, the UI was really dated. Now, they have not finished cleaning it up or bringing it into a new flash version. But because it has such a simple design, it is actually so easy to use. They have taken a lot of the complexity out of it, so you just click on a button and it does it all for you. I think one weakness, which I might have worked around today, is spatial data. But that might change by Monday. That is again because there is so much functionality, actually the real weakness is they have got too much functionality, if that is a weakness. Because there are 10 ways to do everything, and each way has its own pros and cons, and you really have to make your decision about which way to implement it. When you have five developers or three developers doing something, it is very easy for three people to do the same thing three different ways. On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something. It means that a lot of our custom environments are fantastic because we can just plug it in a slightly different way. But because it does so much, it is a lot to get your head around the whole thing. We tend to focus on the small stuff that we are adding value to right now.
I understand this might relate more to another platform, like the cloud API cloud platform. Nevertheless, data management could also encompass APIs and real-time streaming data integration. I wonder if, at the same price, the API component could be added, which would be beneficial.
The biggest challenge with Talend was its performance. Sometimes data cleaning from the data warehouse was very slow, and we had to restart the server to enhance performance.
The product's setup process could be simpler.
The solution's stability could be improved.
Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process.
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic considerations. It would be beneficial to have added a greater openness in the tool, allowing for the presentation of data quality results in alternative tools, which would provide increased flexibility in sharing and utilizing data quality outcomes.
The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell.
The vendor successfully created a cloud solution. However, lifting and shifting all the functionality available on-premises will be a heavy task. They are working on it. The product must enhance the data quality. Data lineage features must be integrated seamlessly into the data integration platform.
What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team.