Flinkflow
Flinkflow is a declarative, low-code data streaming platform built on top of Apache Flink. Inspired by Apache Camel K, it democratizes stateful stream processing by abstracting the complexities of the Flink API into a simple, Kubernetes-native YAML DSL.
🚀 The Philosophy: Democratizing Data Engineering
Traditionally, building real-time data pipelines is a specialized engineering endeavor, requiring deep Java/Scala expertise and resulting in siloed data teams. Flinkflow breaks down this "Flink Complexity Gap" by shifting the focus from infrastructure plumbing to data logic.
Our mission is to be the "Glue Layer" for real-time event-driven architectures—empowering Data Analysts, DevOps, and Backend Developers to build, deploy, and scale enterprise-grade streaming workloads without ever touching a Maven assembly.
Why Flinkflow?
| Feature | Native Java Flink | Flinkflow |
|---|---|---|
| Authoring | Heavy Java/Maven Boilerplate | Declarative YAML DSL |
| Development Cycle | Compile → Package → Deploy JAR | Instant Hot-Reload (YAML/Java/Python Snippets) |
| Logic Changes | ~10 minute CI/CD cycles | Seconds (Apply K8s CRD or YAML) |
| Target Persona | Specialized Flink Engineers | Data Scientists, Analysts, DevOps, Backend Devs |
| Component Model | Custom Code / Classes | Reusable, Parameterized Flowlets |
✨ Features
- Declarative YAML DSL: Define entire pipeline structures—Sources, Sinks, and Operations—in clean YAML.
- Polyglot Logic Snippets: Inject custom logic directly into your YAML—support for Java (Janino), Python (GraalVM), and Apache Camel (YAML DSL/Simple) for transformations, filters, and flatmaps without recompiling.
- Enterprise Integration Patterns (EIP): Build complex routing, throttling, and field extractions using the high-performance Apache Camel engine.
- Kubernetes-Native (GitOps): Manage pipelines as
PipelineandFlowletCustom Resources. Fully compatible with Helm, ArgoCD, and the Flink Kubernetes Operator. - Reusable Flowlet Catalog: Drag-and-drop capability for complex connectors (Kafka, Confluent, S3, JDBC) using parameterized components.
- Advanced Data Mapping: Support for XSLT 3.0 via Saxon-HE for structural JSON/XML transformations (Kaoto integration).
- Observability Built-in: Real-time monitoring of job health and throughput via a dedicated dashboard.
- Extensible Connectors: Unified support for Kafka, S3, JDBC, HTTP Sinks, and more.
- Enterprise Security: Native support for Kubernetes Secrets (
secret:name/key) to secure credentials without hardcoding. - Schema Management: First-class integration with Confluent/Apicurio Schema Registry for Avro-encoded streams with automatic schema fetching.
🏢 Flinkflow Enterprise Edition & Services
Flinkflow is maintained by Talweg. While the core engine is free and open-source, we offer professional services and an enterprise-grade distribution for organization-wide streaming platforms.
| Feature | Flinkflow Community Edition | Flinkflow Enterprise Edition |
|---|---|---|
| Core DSL & Polyglot Runtimes | ✅ | ✅ |
| Agentic Bridge (LLM Integration) | ✅ | ✅ |
| Kafka, S3, JDBC Connectors | ✅ | ✅ |
| In-stream ML & AI Validation Assist | ❌ | ✅ |
| Live Hot-Reloading | ❌ | ✅ |
| Enterprise RBAC & SSO | ❌ | ✅ |
| Data Security (Format-Preserved Encryption) | ❌ | ✅ |
| Air-Gapped Container Gallery | ❌ | ✅ |
| Advanced Observability (SLA/Audit) | ❌ | ✅ |
| Proprietary High-Perf Connectors | ❌ | ✅ |
| Day 1 Setup Support (Kubernetes) | ❌ | ✅ |
| Professional Services | ❌ | ✅ |
🛠️ Professional Services
Talweg provides expert consulting and managed services to accelerate your streaming journey:
- Pipeline Architecture Reviews: Expert validation of your DAGs, stateful logic, and secret management.
- End-to-End Pipeline Development: Full-lifecycle implementation support, from data source ingestion to final sink delivery.
- Custom Flowlet Development: Building proprietary, secure connectors for your internal systems (SAP, AS/400, etc.).
- Agentic AI & ML Strategy: Real-time inference optimization and agentic workflow design.
- Managed Hosting: Fully managed, auto-scaling container based Flinkflow clusters on AWS, Azure, GCP, or On-Premise.
Need help or looking for enterprise features? Contact our team or visit talweg.ai.
🗺️ Visual Overview
Flinkflow bridges the gap between declarative configuration and high-performance execution.