Version: Current
Real-Time Data and Algorithms for Everybody
- Spreadsheet-like ease for real-time data
- Apache Flink and Kafka complexity hidden from developers
- Algorithms authored using highly flexible, prefabricated functionality blocks
- Algorithm visualized as an interactive flow diagram
- Powerful, yet easy expression language for data transformations and flow control
- Schema-aware autocompletion and validation, like in modern developer tools
- Testing and debugging with real-time visualization of data and algorithm behavior
- AI-powered Assistant
- One-click deployment
Fit for your use case
- Unifies streaming, batch and request-response
- Kafka® and Kafka compatible sources and sinks
- Databases & data lakes sources and sinks via Flink's connectors
- REST (Open API) enrichments
- Database (JDBC) enrichments
- Generalized decision table for complex IF-ELSE logic
- Enrichments powered by ML models
- Agentic AI: LLM execution, MCP server integration, embeddings management via vector stores integration
Rock solid foundations of Apache Flink
- Scales horizontally to millions of events per second
- Built for low latency
- Stateful processing (time windows, state management)
- Exactly-once processing
- Efficient binary serialization (Avro)
- Built-in checkpointing for fault tolerance
Deployment Flexibility
- Run in Nu Cloud or on-premises
- Kubernetes or OS-based installations
- Nu Cloud Managed Flink, Ververica Platform, or Bring Your Own Flink