wyno

Wyno is a cross-platform open-source framework for real-time and batch data processing. It provides a modular pipeline architecture in which processing units, called nodes, are connected by directed flows. Wyno emphasizes low latency, deterministic execution, and robust backpressure handling to ensure predictable throughput under varying load.

History and development: Wyno originated from a collaboration among academics and industry developers in the mid-2010s. The project released Wyno Core 1.0 in 2018, and successive versions expanded connectors for data sources and sinks, improved fault tolerance, and added language bindings. The framework is hosted on public version-control platforms with an international contributor base.

Architecture and features: The runtime builds execution graphs that describe data movement and processing steps. It supports stateful processing via pluggable backends, checkpointing for fault tolerance, windowed aggregation, and backpressure to prevent unbounded memory growth. Wyno exposes APIs in multiple languages and offers a SQL-like streaming interface for declarative queries.

Usage: Wyno is used in domains such as real-time analytics, log processing, and event-driven architectures across finance, telecommunications, and e-commerce. It competes with other streaming platforms and dataflow systems and is often chosen for its emphasis on deterministic semantics and ease of integration.

See also: data streaming, dataflow programming, backpressure, Apache Flink, Kafka Streams, Spark Streaming.