Google Cloud Dataflow vs. Oracle BPM Suite

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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Oracle BPM is well suited to organizations and environments that have a good understanding of their business processes and organizational structures. Trying to introduce a tool such as Oracle BPM into the organization without a good grasp on how the business operates is a recipe for disaster as the implementation will uncover all of the dirty secrets of an organizations business processes and bring them to light. BPM is not to be utilized for smaller service orchestrations or technical service implementations, these should be handled by the Oracle SOA Suite using the BPEL process manager, leaving BPM to handle the organizational business processes, referring to and including lower level services and BPEL processes as needed.

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

• Oracle BPM [Suite] can support unlimited number of cases. No limitations in cases raised.
• Oracle Weblogic can handle multiple traffic. [It] can handle lots of heavy load[s].
• Oracle BPM has extensive integration with database[s]. Huge number[s] of customization can be created.

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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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• Oracle BPM is left behind by other tools more modern in terms of user experience, usability and ability to integrate with everything else.
• To really harvest the potential of Oracle BPM you need to do it in JDeveloper and with ADF. This restricts its usage to very technical people.
• The administration of the Oracle BPM tools has really put a burden on our team. It is running on Weblogic and we experience issues very often either with performance or with a bad configuration of the system.
• As with all Oracle products, the price can be an issue for smaller shops.

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In many scenarios it should have provided more features. It took a lot of effort while debugging, making it difficult to maintain.

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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Not easy to debug errors.

Overall satisfactory

Google Cloud Dataproc Cloud Datafusion

We evaluated Bonita and found that it might fit a smaller-sized company better; we found that Oracle BPM Suite scaled much more evenly. We almost went with one of the competitors, but in the end chose Oracle BPM Suite after we factored in the cost of VMware licensing. There are literally tons of analytics on the back end which are great for upper management, but not so much for average users, but this fits our business model quite well.

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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

• You'll most certainly need a deep dive and extensive training before your users can even think of using the product and they are very expensive.
• Lack of documentation makes it very difficult to manage the application if any error is encountered which will result in you ending up hiring a dedicated person to look into the application once it's deployed.
• For a very large org., if properly implemented and used, it can help identify the cost-intensive and inefficient processes.

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