# ArkFlow Stateless stream processing. Source: [Console review]() Website: [https://github.com/arkflow-rs/arkflow]() Profile updated: 2026-10-16 Category: [Streaming]() ## Supported tech stack Research checked: 2026-10-11 ### Integrates with - Apache Kafka (Integration) - MQTT (Integration) - MySQL (Integration) - NATS (Integration) - PostgreSQL (Integration) - Python (Language) - SQL (Language) - SQLite (Integration) ### Written in - Rust (Language) Source: [Research source]() Documented compatibility; coverage may be incomplete. Written in describes implementation, not user-project language support. Rust engine supports Python UDFs, SQL processing and PostgreSQL, MySQL, SQLite, Kafka, MQTT and NATS inputs. ## Console’s review — 2025-05-08 Reviewed: 2025-05-08 Author: [David Mytton]() Citation: [This review]() ### What we like Takes inputs (MQTT, Kafka, HTTP, database queries, Nats), then processes the data (JSON, SQL, batch, VRL), and sends the result to an output (Kafka, MQTT, HTTP, stdout, Nats). Can buffer in memory to apply backpressure. Uses the Rust Tokio async runtime and builds to a single binary for deployment. ### Tradeoffs Fewer connectors compared to other stream processors like Bento. Missing databases as output options. This review reflects Console’s assessment at publication on 2025-05-08. Features and limitations may have changed since the review date. ## Is ArkFlow a fit? Based on [Console’s review published on 2025-05-08](). Summary updated: 2026-10-16 ### Who it’s for Developers needing stream processing ### Why consider it It can process data from various inputs and send results to different outputs ### Keep in mind It has fewer connectors compared to other stream processors [Selection criteria]() · [About Console]() · [Browse tools]()