Low-code tool for decisions and actions on real-time data
The easy way to define and manage IoT algorithms and decisioning
Low-code tool for decisions and actions on real-time data
The easy way to define and manage IoT algorithms and decisioning
Nussknacker enables real-time stream processing via a visual tool
Subject Matter Experts create decision scenarios on IoT data by using drag and drop components. The advanced mechanism provides them with contextual expression suggestions, autocompletion, and validation
No vendor lock-in
Wherever decisions or actions on data flow have to be made
→ Predictive maintenance in production lines
→ Real-time alerting
→ Real-time infrastructure management
→ Remote monitoring system
→ Environmental monitoring
→ Smart irrigation and many more
It's a low-code tool ready to be deployed. All you have to do is connect your data, and domain experts can create and manage decision algorithms.
Your IoT infrastructure can quickly get user-friendly. Nussknacker is low-code yet versatile and covers a broad spectrum of use-cases
→ Decision scenarios are created by using drag and drop components
→ The advanced mechanism provides contextual expression suggestions, autocompletion, and validation
Nussknacker uses Kafka for input streams of data and output streams of decisions. Nussknacker can enrich input streams with data from databases and OpenAPI endpoints.
Nussknacker has two runtime engines. Lightweight, Kubernetes-based, straightforward to set up and maintain. And Flink-based for advanced streaming use cases, when aggregations are needed.
It's Machine Learning ready. You can combine data served by ML models with event streams or analytical data.
We can help you customise and extend Nussknacker to meet your specific needs and then deploy and maintain it on your infrastructure
Set up, customize, and maintain Nussknacker the way you want it
The cloud edition with free-tier resources is now available.
Get scenarios running in minutes
→ Free customization consulting & support
→ No vendor lock-in
If you are wondering how to customize Nussknacker or if it fits your use case, let us know, and we will help.
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How to simplify the integration of ML models into business applications, automate many of the technical complexities, and support advanced techniques like A/B testing and ensemble models. A fraud detection example
Business scenarios can become increasingly complex, causing many problems for users and administrators. Read how we tackle the problem in the Request Response processing example
With the new release Nussknacker allows End-to-End Exactly-Once event processing. Plus using Nussknacker Quickstart is now even clearer and easier.