Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup. With Talend, multiple servers and components need to be properly synchronized and configured to work together effectively. This process demands a higher level of skill and experience to ensure that all system parts are correctly aligned and functioning as intended.
Compared to Microsoft SSIS which is a drag and drop solution, the finishing touches are not as refined in Talend. The way you search for pallets in Talend could be improved.
Director at a comms service provider with 51-200 employees
Real User
2020-01-12T12:03:00Z
Jan 12, 2020
I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time.
Senior Enterprise Information Architect at a transportation company with 10,001+ employees
Real User
2019-09-23T06:34:00Z
Sep 23, 2019
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. It is our objective to promote all of the data pipelines. We have a design in production and this is our last concern regarding tool adoption. This is close to being solved. It's just a matter of time. We have no technical issues. We have good support from the vendor. Now maybe it would be good to work towards being able to use edge and to be able to deploy the pipeline designed on any platform, on-premises or in the cloud. I think this is their vision also. Adoption of the hybrid cloud is the direction we are going in. Creating a hybrid between the on-premises path and the cloud path so each was able to design something without taking accounts of the target would be amazing.
What is data integration? Data integration is the process of combining data that resides in multiple sources into one unified set. This is done for analytical uses as well as for operational uses.
Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup. With Talend, multiple servers and components need to be properly synchronized and configured to work together effectively. This process demands a higher level of skill and experience to ensure that all system parts are correctly aligned and functioning as intended.
We encounter issues getting email notifications. They should provide enough information about the configuration process for email components.
Compared to Microsoft SSIS which is a drag and drop solution, the finishing touches are not as refined in Talend. The way you search for pallets in Talend could be improved.
I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time.
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. It is our objective to promote all of the data pipelines. We have a design in production and this is our last concern regarding tool adoption. This is close to being solved. It's just a matter of time. We have no technical issues. We have good support from the vendor. Now maybe it would be good to work towards being able to use edge and to be able to deploy the pipeline designed on any platform, on-premises or in the cloud. I think this is their vision also. Adoption of the hybrid cloud is the direction we are going in. Creating a hybrid between the on-premises path and the cloud path so each was able to design something without taking accounts of the target would be amazing.