Talend's integration with most platforms and, more importantly, its support for machine learning and big data integration is the most beneficial aspect for every industry domain. Especially when you can easily build a recommendation system using the Talend tool. Talend connects with numerous databases and has API connectivity, making the tool highly customizable for users and application engineers. Numerous connectors help develop application business logic under one roof. Continuous integration reduces the overhead of repository management and deployment. Review collected by and hosted on G2.com.
Talend errors are still a bit difficult to resolve. Additionally, the community forum is still not very popular. One needs strong ETL developers with some Java knowledge to debug the errors. If community help were available like with other ETL tools such as IBM Datastage, it would greatly assist new ETL developers. Also, hints about optimizing the jobs are not available, which could enhance run times. The scheduling feature, which is very basic, is only available with Enterprise editions and not with the open studio distribution of Talend. To make Spark streaming and machine learning work in Talend, you have to subscribe to the Real-time big data package. Review collected by and hosted on G2.com.
