IBM Operational Decision Manager vs. Spotfire Streaming

IBM Operational Decision Manager can be used to manage complex business processes with less use of IT infrastructure and more use of centralized decision making. Decision-making depends on a logical framework and the creation of commands for better futuristic decisions with less time consumption and more precision and accuracy. IBM's Operational decision manager application is well suited for such scenarios where complex processes have to be streamlined.

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Taking data from various sources including files, databases, web services, applying some complex rules, transforming, aggregating and producing a result. This is what Spotfire Streaming does best.
- If one needs connectivity to special services as secured databases or web services, building interactive web apps, those are probably tasks that shall be addressed with different tools.

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• Excellent stability and performance, as well as the possibility to deploy more quickly.
• Simple but effective web-based user interface that enables us to make direct updates to our policies or rules.
• Effective rule Execution Server, which allows us to assess the rules and their performance
• After the rules are delivered, business users can make changes and keep them up to date without having to know a lot about technology.

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• Processing events in real-time with real low latency and high throughput.
• 100% visual program language, which can be extended by common languages like Java, Python and .NET.
• Reduced time to prototype, create an application and deployment, which reduces the software lifecycle.
• Real robust engine and server. Barely heard of customers having issues in production.

• Compatibility with third party software.
• Use interface can be simplified.
• Better Error handling framework.

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• Being a niche tool, there's not much community support
• It is on prem, making it slow to boot. not cloud native (It could be that it is our org's issue)
• The dev environment is very tough to understand for large projects due to the wire style UI/UX

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The usability is good in terms that it gets well integrated with the Spotfire suite but the only few issues I have is the tough UI/UX (learning curve, if the project is huge) and unable to find many users and devs to help with the queries. At the end it is solely based on the documentation provided which is never enough

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Spotfire Streaming support is prompt and to the point. They help with best practices and learning from existing projects.

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Ease of use Ease of Administration

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We are using Dataflow (by Google).The development time in Spotfire Streaming is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure Spotfire Streaming can do that. Dataflow can run GCP as a managed service which is why we chose that tool for our new product.

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• It has a positive impact as it provides a great way to define business rules, execute them, update them, manage different versions of rules.
• Depending on the complexity of the applications, you can have thousands of rules.
• It provides a nice way to test the rules, run simulations with different scenarios, different scales of requests and verify the decisions, performance, etc., and that helps a lot.
• Since the decisions can be exposed through REST interface, it makes it very convenient to integrate with different applications, applications using different technologies.
• The Business console makes it easy for business users to be able to define, modify rules and not have to depend on IT to do a lot of that work. This helps in bringing the time to change and use the rules to be very short as well as lets IT do more IT related tasks and provide better value to the organization.

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• While we haven't specifically integrated Spotfire Streaming into our product development, it has allowed us to see the benefits of real-time streaming data.
• We have much more visibility into how our longer term roadmap will look and what we should focus on.

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Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info