Build on Apache Flink without the complexity. Turn complex stream processing into visual decision logic you can deploy instantly and adapt continuously, without touching Flink code.
Engineers set up integrations. Business teams own the logic.
Apache Flink is a powerful engine, but building real-time decision logic directly on it requires too much code, specialist expertise and too much engineering effort.
The complete platform for designing, deploying, and continuously adapting operational decision logic.
Explore how business and data teams respond faster to changing business conditions with Nussknacker.
Define complex event patterns in a visual editor: card testing sequences, velocity rules across channels, and geographic anomalies – without writing Flink code. Business risk teams own and update detection logic directly, without routing every change through engineering.
Deploy rule changes in minutes, not weeks. Run pattern matching across millions of transactions per second with full Flink CEP under the hood – and capture multi-step sequences that span time windows without touching a line of code.
Plug any ML model into your streaming pipeline as a native enrichment step. Nussknacker handles batching, latency management, and model versioning – your data scientists iterate on model logic independently while the pipeline runs at full throughput.
Feature engineering and model calls become drag-and-drop nodes. No Flink expertise is required to operationalize ML at scale, and model version swaps happen without re-deploying the pipeline – inference latency stays consistent.
Replace batch decision engines with streaming rules that react in real time. Credit decisions, pricing adjustments, and personalization logic run as stateful Flink computations – owned and updated by business analysts, not engineers.
Audit trails, rollback, and A/B testing of decision variants are built in from day one. When a rule changes, the analyst deploys it directly – no ticket, no sprint, no waiting for the next release cycle.
Ingest high-frequency sensor streams and detect anomaly patterns using Flink CEP without writing Java. Maintenance teams configure alert thresholds and complex temporal patterns through Nussknacker's visual interface – no platform specialist required.
Reduce unplanned downtime and maintenance costs by acting on predictive signals, not reactive alarms. When thresholds need adjusting, the team updates them directly without re-deploying the pipeline or involving engineering.
AI agents fail at scale when connected directly to raw event streams. Platforms processing over 500,000 events per second cannot route each one to an LLM – the cost alone makes it impossible. Flink CEP and window aggregations solve this: complex event patterns are detected and signals pre-aggregated across time windows before any AI agent is involved, cutting inference volume by over 99%.
With Nussknacker, business define CEP patterns and sliding window aggregations visually. Agents receive grounded, pre-aggregated signals – not noise. The result is autonomous decisions that are fast, cost-efficient, and auditable.
If your decision logic changes faster than engineers can ship it and your data moves faster than batch jobs can handle it – that's where Nussknacker belongs
| Flink RAW | Own Delivery System | Nussknacker | |
|---|---|---|---|
| Time to first production value | Months (Flink setup first) | Months (platform first) | Weeks |
| Who deploys a rule change | Engineers only | Business teams* | Business teams |
| Time to ship a logic change | Sprint (1–2 weeks) | Days | Hours |
| User complexity | High | Medium | Low |
| Flink expertise required | High (ongoing) | High (build + maintain) | Setup only |
| Deployment cycle | CI/CD Pipelines | Dedicated deployment engine | One-click, no CI/CD |
* Only after the custom solution is fully built and deployed
Trusted in production for over 8 years across telecom, fintech, and enterprise environments
“Before Nussknacker, every change to our fraud detection rules required an engineering sprint. Today, our analysts deploy updated rules in hours, without writing a line of code.”- Fraud Detection Team, iliad Group
“The visual designer changed how our teams collaborate. Engineers set up the integrations once. Business teams own the logic from that point on.”- IT Department, international telecom provider