Enterprise Fluentd vs. Spotfire Streaming

Enterprise Fluentd is a classic solution that manages data, which allows the business to get information from various sources and connect it to conduct a comprehensive analytical procedure. More so, Enterprise Fluentd has the security part, which is specific and friendly in controlling all the systems. Finally, Enterprise Fluentd is strategic, and it uses AI for high performance.

Incentivized

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.

Incentivized

• 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.

• 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

Incentivized

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

Incentivized

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

Incentivized

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.

Incentivized

• Authentic data collection brings accuracy in the operations of the company.
• Diverse data sourcing brings inclusive results.
• Coordination among different systems allows companies to remain competitive.

Incentivized

• 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.

Incentivized