My point of view of Talend Open Studio: Great!
June 21, 2018

My point of view of Talend Open Studio: Great!

Jose Miguel Siu Navarro | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Talend Open Studio

Talend Open Studio is the IDE for Talend Products. You can design all your SOA Architecture inside of it. You have access to your artifacts, connectors, source code, etc.
Talend Open Studio is for Developers and offers an easy way to develop Webservices, and connect this services to consume data from several sources, like databases, ERP, CMS, CRM, etc.

Pros

  • Your developers will be able to design SOA services graphically, and it is very easy to document and implement the code.
  • Talend Open Studio is based on Eclipse IDE, so your developers will be very comfy using it
  • Open is Key in Talend Open Studio = Open Source

Cons

  • Since it is an Eclipse-Based IDE, sometimes it can be a little slow.
  • You cannot setup your artifact repository using the same credentials as for other modules within the TOS.
  • Being Open Source, your costs on the IDE side are zero.
  • There are a lot of programmers with knowledge in Eclipse, they will be comfy using TOS. The development process will be faster.
  • Once you develop your Service Bus using TOS, you can connect easily with other Talend products, like DTS, Big Data analysis tools, etc.
Oracle JDeveloper for BPEL is a very nice tool, but way to expensive. It has a tight integration with Oracle DB and more advanced features.
JBoss ESB Developer studio is very, very close in terms of functionality, but again, expensive.
  1. Design and develop Web Services (RESTful or SOAP)
  2. Develop Connectors to other systems that will interface with the Service Bus
  3. Deploy Services to Talend Service Bus Server
  4. Manage the inventory of artifacts and connectors
  5. Projects that need to be implemented with low budgets
  6. When your developers are proficient in Java and Eclipse

Talend Open Studio Feature Ratings

10.0
Connect to traditional data sources
10
Connecto to Big Data and NoSQL
10
10.0
Simple transformations
10
Complex transformations
10
9.2
Data model creation
10
Metadata management
9
Business rules and workflow
9
Collaboration
9
Testing and debugging
9
9.5
Integration with data quality tools
10
Integration with MDM tools
9

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