Nussknacker

The most effective way to collaborate on real-time data processing

Software, data and business teams build solutions together, seamlessly combining their technical and domain expertise. Nussknacker provides rapid time-to-value and frictionless long-term cooperation

easy real-time data processing

with a simple drag-and-drop interface:

detect fraud, device malfunction, respond with marketing messages, analyze clickstream, compute ML features or run ML models on real-time data

perform any data transformation and enrichment  -  analyze data in time-windows  -  experience rapid iterations with a one-minute experimentation cycle

 

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 more
  • 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

use cases

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
Read a blog post

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
See demo

ML models deployment

Infer Machine Learning models from within complex decision algorithms
Read a blog post

performance

as 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)

offer

Free

Cloud

Quick solution for straightforward yet demanding data streaming tasks without exhausting investment decisions

 

Cloud

 

On premise

 

blog

next steps