RTGenheter

RTGenheter is a software platform designed for real‑time generation and heteromorphic data integration across distributed systems. Developed by the research team at the Institute for Distributed Computing and released in 2022, the platform builds on earlier synchronous processing frameworks to provide near‑instantaneous data transformation and dissemination.

The core architecture of RTGenheter merges functional reactive programming with MapReduce principles. It allows developers to define data pipelines that automatically adapt to changing input streams, applying transformation rules that are encoded as lightweight lambda functions. The system maintains a dynamic graph that tracks dependencies and propagates changes through the network with minimal latency.

Key features of RTGenheter include a message‑driven runtime, fault‑tolerant state replication, and a built‑in query language for on‑the‑fly data aggregation. It supports integration with popular message brokers such as Kafka and RabbitMQ, and exposes a RESTful API that enables external services to query the current state or submit transformation rules. The platform also incorporates a lightweight sandbox for testing new transformation logic without affecting production workflows.

RTGenheter has found application in telecommunications, financial services, and Internet‑of‑Things infrastructure, where real‑time data fusion is essential. Numerous pilot projects have demonstrated its capability to reduce end‑to‑end processing times for complex analytics workloads by up to 35 %. The platform remains open source under the MIT license, encouraging community contributions of extensions and adapters for additional data sources.