More agile business
Business teams can manage business logic without developers' help
They can run & test new algorithms faster, so teams become more agile
Nussknacker
Hand over stream processing to domain experts
Nussknacker is a visual tool to run real-time business logic
for event streams combined with analytical data or data served by ML models
Nussknacker Cloud beta is now available
Try it
A visual tool for subject-matter experts
No need to engage developers to code business logic
Kafka-based
Nussknacker was built to be part of event-driven architectures. It uses Kafka as its primary interface: input streams of data and output streams of decisions. And since input streams are often not enough, Nussknacker can enrich them with data from databases and OpenAPI endpoints.
Nussknacker can be used with its own, lightweight, Kubernetes-based engine. It provides scalability and high availability, while being straightforward to set up and maintain. However, in advanced streaming use cases, when aggregations are needed, Nussknacker can execute decision scenarios on Flink – one of the most advanced platforms for stream processing.
For event-driven architecture
More technology development
Nussknacker saves developers time for more technical tasks
It's open-source, easy to deploy, and flexible in development
Proven performance
Processing millions of events per day for market leaders in telecom and financial industries
Deployed in
Real-time marketing
A platform for all marketing communications with customers
Over 80 scenarios are processing more than 3.5 million events per day
Fraud management
Fraud detection platform
40 scenarios running, including detection of simboxing, SMS spam, sim cloning, and termination frauds of various kinds
Next Best Action
The assistance-system for POS, displaying suggestions about what to offer to the customer. How to proceed in case of any problems.
Nussknacker is invoked as a REST service. Integrated with ML models, customer data systems, and more
Potential use-cases
Customer data
dynamic pricing
order status management
instant credit scoring
Manufacturing
regulatory compliance
condition monitoring
predictive maintenance
property surveillance
Smart devices
autonomous devices
smart metering
inventory management
3 ways to deploy
Quick adoption
Cloud
The cloud edition with free-tier resources is now available.
Get scenarios running in minutes
Expert assistance
Enterprise
We can help you customise and extend Nussknacker to meet your specific needs and then deploy and maintain it on your infrastructure
Independent adaptability
Community
Set up, customise and maintain Nussknacker the way you want it
Run Quickstart
Get a first glimpse of the technology by going through the Quickstart using docker setup and check our hosted demo
Not sure how to proceed?
Book a 30 min call with developers behind Nussknacker
From the Nu Blog
Damian Święcki
Aug 16, 2022
Nussknacker 1.5
This version focused mainly on unifying our kafka source and sink components and some filter and choice (former switch) component improvements.
See the details
Zbigniew Małachowski
Jun 24, 2022
Decision scenarios with ML made easy
You can use Nussknacker to design and deploy ML models in use cases where complex decisioning, data transformation, and enrichment logic are needed. The decision logic you can build with Nusskkncker can be pretty sophisticated - we moved the bar of how much you can achieve with low code to pretty high.
Rafał Golcz & Piotr Jagielski
Jun 1, 2022
Stretching old solutions to fit new problems doesn’t work. A genealogy of Nussknacker.
Extending SQL for the streaming world is very promising, but its main drawback is that in order to use it, you need to have all of your data in a homogenous environment. We took another approach that allows us to integrate any existing technology with stream processing.
Read on. There’s more…
All articles