the muscle of real-time data systems
with Nussknacker, users build and deploy event-driven business automations. They have access to all the data they need and can quickly deploy real-time action solutions
Nussknacker
act on data in real-time
a tool that makes data actionable for the domain expert
low-code
develop decision scenarios in a visual way with pre-built components
high-capacity
up to 1 Million events / second based on Apache Kafka and Apache Flink
AI / ML inference
enable model inference and mixing AI with algorithms
integrates with Kafka-compatible platforms
existing Kafka deployments gain the ability to execute business logic in real time
user-friendly Flink processing
a deployed decision scenario becomes a Flink job in data streaming use cases
multipurpose
Nussknacker adapts to a wide range of applications, from common to cutting-edge
real-time data
event streams can be enriched with information from multiple sources: private and public APIs, databases, and Machine Learning models
low-code interface
the data is made readily available to the user via the drag-and-drop, one-click deployment interface that allows them to iterate and experiment
real-time apps
raw events become real-time business applications - without spending developer time
users innovate in response to changing business conditions creating event-driven solutions in faster cycles
product
ease of use
flow diagrams for decision algorithms
powerful expression language
autocompletion and validation
testing and monitoring tools
REST (OpenAPI) and data base (JDBC) enrichments
ML models inferring enrichments
one-click deployment
version history
deployment flexibility
running on Flink or K8s-based lightweight engine
Kafka® and HTTP interfaces
integrates with Kafka-compatible platforms like Confluent® Cloud, Azure Event Hubs® and Aiven® for Apache Kafka®
streaming and request-response modes
customisable and extensible
open source with enterprise extensions
on premises and cloud
building block
Real-time marketing
Communications with customers in real-time, providing event-driven offers and actions
Read a customer story
Fraud management
Mitigating fraud by running detection algorithms on network or device signals
Read a customer story
Next Best Action
Assisting the Point Of Sale, displaying suggestions about what to offer and how to proceed with a customer
Customer data processing
Decisioning on dynamic customer data in
- dynamic pricing
- order status management
- instant credit scoring
Internet of Things
Automating actionable data in
- predictive maintenance
- inventory management
- smart devices
ML models deployment
Infer Machine Learning models from within complex decision algorithms
Read a blog post
performance
ss a showcase, we present here two deployments that demonstrate the power of the solution in the case of the telecom company PLAY (part of the Iliad Group)
pricing
free
Basic Plan
Key features:
✓ Lite engine (stateless processing)
✓ Data streams via Kafka or over HTTP
✓ Most common DB enrichments
$99 / month
Pro Plan
All Basic Plan features plus:
✓ Flink integration (full power of Flink's stateful processing)
individual
Custom Plan
✓ All the benefits of Pro Plan
✓ with Custom limits
services
It's open-source, but we can help you get the most out of Nussknacker
blog
Łukasz Ciołecki
Apr 15, 2024
SMS Artificially Inflated Traffic
Using Nussknacker's robust real-time processing capabilities, we can build complex decision diagrams that analyse patterns, behaviours and anomalies that indicate SPAM SMS Fraud. This approach allows us to quickly identify potential threats and take proactive action to prevent fraud before it happens
Maciek Cichanowicz
Apr 15, 2024
A guide to OpenAPI components
At Nussknacker we decided to significantly ease enriching your data in scenarios with OpenAPI components. All you have to do is provide an OpenAPI based interface definition of your service and magic will happen — Nussknacker will automatically create components based on your interface definition and they will be ready to use
Łukasz Ciołecki
Mar 28, 2024
Telecommunications Fraud: an Introduction
This article is a starting point into the vast and shadowy realm of the Telecom Fraud World. It outlines various fraudster profiles without delving into the technical complexities. Going forward, detailed descriptions and examples of Nussknacker’s solutions for each type of fraud will be covered in separate articles.
next steps
see working demos
with real-time data processing
try the Pro Plan
with Flink integration
deploy locally
the open-source code