Talweg
Announcing Native Flink SQL Support in Flinkflow
Flinkflow now supports Flink SQL as a first-class step type. Define schemas, write SQL queries, perform windowed aggregations, and join multiple streams — all from your YAML pipeline.
Powering the Future of Real-time Data
Talweg is the creator of flinkflow with Agentic bridge, the declarative streaming platform for Apache Flink. Democratize stateful stream processing and build real-time AI workflows with a simple, Kubernetes-native YAML DSL.
Core Vision: Unlock real-time intelligent insights through high-performance stream processing.
Product Suite
Why choose flinkflow?
The ultimate tech stack for building large-scale, stateful real-time AI applications.
flinkflow engine
A declarative framework for building and managing Apache Flink pipelines with ease, built for stability and ultra-fast processing.
Agentic bridge
Deeply integrated into flinkflow, providing native support for autonomous agents to reason over data streams with stateful memory.
Enterprise Security
Built-in hardened security and compliance, ready for mission-critical production environments.
Polyglot Support
Native support for Java, Python, Flink SQL, and Camel DSL, allowing developers to use their preferred tools.
Operational Excellence
Advanced observability and management tools to make maintaining distributed AI systems simple and transparent.
Open Ecosystem
Built on top of leading open-source technologies like Apache Flink and Apache Camel, no vendor lock-in.
Core Product
Flinkflow: Redefining Real-time Compute
Build a Modern Real-time AI Foundation
Leverage industry-leading practices to capture value the moment data is created.Simplified Development
Drastically reduce the Flink learning curve with declarative configurations, moving from prototype to production in hours.
Native AI Integration
Invoke LLM inference directly within stream processing logic for millisecond-latency intelligent analysis.
Reliable Architecture
Inherits Flink’s state management and fault tolerance, ensuring 24/7 uninterrupted operation.
Insights from Talweg Labs
View all posts »We regularly share deep technical dives into Flink, Agentic AI, and real-time data processing. Every case study is a result of our hands-on experience in the field.
Real-Time Cybersecurity: Low-Latency Log Joins & Enrichment
Raw security logs are useless without context. Learn how to perform sub-second temporal joins in Flinkflow to enrich firewall logs with asset and user metadata for instant threat detection.
Integrating Real-Time Data Streams with AI Models: The Agentic Future
Discover how to fuse live event streams with LLMs and AI models using Flinkflow’s Agentic Bridge. Learn how stateful memory and Async I/O power real-time AI decision engines.
Bringing Apache Flink ML to YAML: Zero-Boilerplate Streaming Machine Learning
Introducing native Apache Flink ML support in Flinkflow. Embed Estimators and Transformers directly in your YAML pipelines using dynamic reflection and StreamTableEnvironment.
FAQs
Frequently Asked Questions
Learn more about Talweg's capabilities and how it can power your AI transformation journey.
What is Agentic bridge?
Agentic bridge is the integrated orchestration layer within flinkflow that allows AI Agents to trigger streaming tasks and perceive real-time data snapshots.
Do we need to rewrite existing Flink jobs?
No. Flinkflow is compatible with standard Flink jobs and now natively supports Flink SQL — embed your existing SQL queries directly in YAML pipelines. You can easily migrate your current logic and leverage our management tools.
Is on-premise deployment supported?
Yes. Talweg focuses on the enterprise market, and all our products support deployment in your private cloud, on-premise data centers, or hybrid environments.
Start Your Real-time Journey
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