Spotfire Streaming vs. TIBCO Messaging

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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Organization which uses TIBCO Business Works or TIBCO Business Process Management or TIBCO BPM Enterprise can make use of TIBCO Messaging as it works well with other TIBCO tools. Many TIBCO tools have TIBCO Messaging products bundled as a package along with other TIBCO tools. Use of dynamic topics and queues makes run time processing easier.

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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.

• Tibco EMS performs very well, and it meets our stringent performance requirements for corporate messaging backbone.
• Tibco EMS scales well, and this is another of our stringent requirements.
• Tibco provides good support for the EMS product, and continues to improve it. This is important as we don't want to use something that does not keep up with the changes in the technology landscape.

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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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• In terms of TIBCO Messaging, it would nice to have a more out-of-the-box way of linking its objects (queues, topics) directly to those of other popular solutions like MQ or Kafka.
• Not being able to filter (that is, using selectors) through patterns/subtexts on the message body is missed on occasions.
• Given the current trends and state-of-art, lift & shift of on-premise EMS clusters to cloud architectures should be more directly attainable.

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EMS is a solid system and I see no reason to abandon it, in fact I am eager to see what the next versions will offer and future road maps. Knowing we have support to help us in case of problems is invaluable, both in case of critical issues and to improve overall performance.

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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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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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We also use other messaging products: IBM MQ, especially for integration with other systems (server2server), which has been an industry standard for a long time, and Apache Kafka for cloud-native applications. EMS is a worse option compared to them, but it is still acceptable.

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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

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• Improved developer productivity as TIBCO Enterprise Message Service requires minimal coding
• Quicker time to market as the configuration / onboarding can be automated with this tool
• Ability to onboard more clients/consumers as the tool can handle large volumes seamless
• Improved visibility on the end to end process as the product provides monitoring by using JMS header information