Google Cloud Virtual Private Cloud (VPC) vs. Oracle BPM Suite

An effective pricing strategy is in place. Google Cloud VPC is the most secure since it runs on a private network and never contacts the public network. Google is well-known for its AI/ML and Kubernetes engines, both of which have a leg up on the competition. Google Cloud VPC's database services are yet to be improved.

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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.

• Serverless connector helps Cloud Run services to communicate privately.
• Serverless connector supports auto scaling.
• Being serverless, the cost is based on usage for serverless connector.

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• 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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• Sometimes the group settings tab lags a little
• Although overall it's easy to use, some of the sections lack documentation
• Routes section is very poorly implemented, requires a lot of digging to learn how to use

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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.

VPC is a difficult concept to grasp and recommendations for configuring it would be helpful in educating the users to make the right choice while using the product in configuring networking for their cloud deployments. Also, the user interface can be intuitively designed so as to suggest templates to perform common configurations with regard to VPC.

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Not easy to debug errors.

Overall satisfactory

Google VPC and networking infrastructure is very matured and is built later after Amazon VPC. It made sure to address all the limitations faced by amazon VPC. Google Virtual private cloud is across regions while amazon VPC covers only one region but multiple zones. Google VPC is a global resource while AWS is a regional resource.

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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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• Using Google Cloud VPC cloud storage has saved us on infra budget and per TB storage cost
• Using MySQL databases on Google Cloud VPC has improved the performance and cost of operation and maintenance
• Better pricing model has improvement on operational cost and increased revenue

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• 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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