TIBCO BW a good alternative
October 27, 2017

TIBCO BW a good alternative

Hugo Romani Cortes | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with TIBCO Cloud Integration (including BusinessWorks and Scribe)

As a consultant I use BusinessWorks for almost all my clients. It usually offers a middleware approach for the entire company or their customers. Leveraging existing services or developing new ones, we are capable of quickly and efficiently developing modern integrations. Thanks to the evolution of the product we are capable of either offering on-premise or cloud integration for clients who look for robustness and reliability in their software provider.

TIBCO BusinessWorks is a powerful solution for homogeneous integration with a large choice of connectors and the possibility of developing custom ones.
  • Develop and deploy fast. The drag and drop approach allows experts and beginners to develop consistent services, based on common practices. The latest version of BW offers the possibility of easily integrating DevOps standards (CI/CD)
  • BW contains a lot of standard connectors that enable connection to the majority of applications or services. It's very easy to develop custom adapters that will fit our ad-hoc requirements.
  • With a Java backend and XML knowledge, everyone can quickly ramp up in a BW team.
  • Better Integration with the Big Data world
  • More visibility into features planned for release in future versions
  • Extend the possibility of developing customer adapters in every language running within the JVM (e.g. Scala)
TIBCO BW is easy to install, develop, and deploy. Generally, we are capable of demonstrating things faster compared to other solutions.
Pros:
  • Development of REST services (TIBCO is following open API standards).
  • Integration of legacy systems (not too old such as mainframe)
  • Short time to market
Cons:
  • Developing batch jobs is out of scope of BW
  • Cost might be a blocker for companies thart don't want to invest too much
  • High volumes of data (big data)