Enterprise and complex platform with Talend
July 25, 2022

Enterprise and complex platform with Talend

Silvia Guardini | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Talend Product Intelligence

We used Talend to implement an Enterprise Data Warehouse (EDW) that could contain all Supply Chain information in order to create an evolved reporting system. Moreover, we needed a flexible tool to extract and elaborate data, but also run external processes like data science algorithms that had to predict selling forecasts and raw materials supply to create some new KPIs for the production office.

Pros

  • Extract from source systems
  • Elaborate data
  • Run external processes
  • Can be used in a cloud solution

Cons

  • Support not as strong as other vendors.
  • If you want to use it in the best way you need to be able to do some programming.
  • With ETL component you cannot join tables from different schemas.
  • Reporting accessibility faster: data are elaborated and ready for reporting in a couple of hours each night for a medium-big company.
  • Prediction analysis more accurate as they are elaborated with Talend and Data Science algorithms.
  • Higher costs with Enterprise Solution.
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.

Do you think Qlik Talend Cloud delivers good value for the price?

Yes

Are you happy with Qlik Talend Cloud's feature set?

Yes

Did Qlik Talend Cloud live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Qlik Talend Cloud go as expected?

Yes

Would you buy Qlik Talend Cloud again?

Yes

Talend is a complete tool with a lot of flexibility for the development and execution of complex tasks. Before we did not trust it so much as it did not have an enterprise solution, while now we feel free to propose it to customers. The graphic view is a little old, and it seems a tool more indicated to be programmed by a data engineer as you need to be able to write some code as well if you want to obtain complex results, while an easy approach as ETL could be managed by a developer.

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