Google Cloud Dataflow vs. TIBCO Rendezvous

It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.

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TIBCO Rendezvous is a fast and reliable mode of communication, although they are already outdated by TIBCO FTL, which is even more faster and reliable than it's predecessor. They are more suitable for communication between the TIBCO products as all the TIBCO suite of products support the TIBCO Rendezvous. They are more widely used by banks and stock ticker applications to broadcast the ticker information. Most of the applications support Java JMS mode easily and out of the box than the TIBCO Rendezvous. Hence the TIBCO software themselves have their own version of the JMS server called Tibco EMS ( Tibco Enterprise messaging service).

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• Streaming, Real time work load
• Batch processing
• Auto scaling
• flexible pricing

• TIBCO RV supports faster delivery to broadcast any messages
• This is a best protocol to be used when we wanted to do Asynchronous communications
• RV supports multiple subscribers with a simple configuration

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• More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
• I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
• Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.

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• Poor management tool.
• TIBCO RV needs a good knowledge on own networks.

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Not likely to renew or buy the license as they are using the TIBCO EMS as the primary mode of communication.

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It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.

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Attending an official TIBCO classroom training, where you can have an active participation with an expert teacher, you can find the answers to all yours needs. In any case, if you are not satisfied on your requests, the teacher takes the time to find the best solution.

I had the opportunity to attend one and I could learn all features I needed for my business: now I can say TIBCO Rendezvous is very usable.

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I never needed support for TIBCO Rendezvous. I always used it without any issue and until now I don't remember some situations where it interrupted its 24/7 uptime.

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Google Cloud Dataproc Cloud Datafusion

TIBCO EMS provides centralized server administration to manger the delivery of services in run time

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• cost saving from managing our own data center for ETL servers
• consumption based pricing
• with auto scaling feature, we were able to expand components to support work load

• All a non-TIBCO based applications need to use the TIBCO Rendezvous APIs and reprogrammed to communicate with other application using the Tibco Rendezvous.
• All applications and enterprises need to have an enterprise license to communicate with each other.
• TIBCO offers their Rendezvous APIs in various programming languages. Hence any application can use these APIs to start using the Tibco Rendezvous. Although most application prefers not to as TIBCO Rendezvous is TIBCO 's closely guarded recipe.

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