Talend Data Quality Review

Has allowed us to organise & deploy our staged ETL transformation processes; toolbox integration could be better.

What is most valuable?

Fuzzy matching lookups.

How has it helped my organization?

Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development.

What needs improvement?

Toolbox/component integration, performance (optimal memory performance) bench marks / manual across 64bit 32 bit architectures not existent.

For how long have I used the solution?

2-4 years.

What was my experience with deployment of the solution?


What do I think about the stability of the solution?

Sometimes when working with larger datasets (possibly due to insufficient memory).

What do I think about the scalability of the solution?


How are customer service and technical support?

Customer Service:


Technical Support:


Which solution did I use previously and why did I switch?

Yes I have, found Talend less fussy with different data and debugging tools. It is a superior solution once you are acquainted with it.

How was the initial setup?


What about the implementation team?


What was our ROI?


What's my experience with pricing, setup cost, and licensing?

No setup costs or usage costs. Talend open studio.

Which other solutions did I evaluate?

Yes, SSIS and Pentaho.

What other advice do I have?

Platform/Technology specific decisions need to be made upfront before considering this solution.

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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