rowsto

Rowsto is a fictional open-source framework designed for row-oriented data processing. It enables ingestion, transformation, and routing of data one row at a time, supporting both batch and streaming workflows. The system emphasizes a simple programming model, low memory footprint, and modular connectors to common data sources and sinks.

The name Rowsto combines the word row with a nod to storage and streaming concepts, signaling its focus on row-level data handling and real-time movement. The project is presented as a community-driven initiative intended for educational use and lightweight production environments.

In its stated development history, Rowsto emerged in the early 2020s as an experimental tool for practitioners who prefer row-wise processing over columnar approaches. It has since seen multiple feature releases, including a small domain-specific language for simple transformations, pluggable backends, and basic support for windowed aggregations. The ecosystem emphasizes clarity over complexity and invites contributions from developers across languages.

Architecturally, Rowsto centers on a streaming core that processes input as a sequence of rows, with deterministic ordering guarantees where required. It offers a minimal runtime, a policy-based memory model, and adapters for common messaging systems and databases. The framework provides a lightweight query-like syntax, schema inference, and extensible operators for filtering, mapping, and joining rows. It is designed to interoperate with other data tools through standard formats and simple, well-documented interfaces.

Rowsto is positioned as a niche tool for education, rapid prototyping, and small-scale pipelines, with ongoing community development and experimentation. See also row-oriented processing, streaming data pipelines, and ETL tooling.