
Apache NiFi
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| Fact | Apache NiFi | Arroyo |
|---|---|---|
| Deployment | NiFi runs in a JVM on a host operating system and can be installed from a downloaded ZIP archive. | Arroyo can run as a single binary, Docker container or Kubernetes deployment, with SQLite for local use and Postgres recommended for distributed production. |
| Kafka integration | Kafka processors publish records through configurable Kafka connection services, including an Amazon MSK implementation. | Kafka sources and sinks support self-hosted Kafka, Amazon MSK and Confluent Cloud, with exactly-once or at-least-once sink modes. |
| Purpose | NiFi automates the flow of data between systems, including cybersecurity, observability, event stream, and generative AI data pipelines. | Arroyo is a distributed stream processing engine for stateful computations on data streams, with sub-second results. |
NiFi suits teams that need to automate and monitor data movement among systems, with adjustable flow controls and provenance tracking. It can also suit deployments that need clustering or smaller edge-device setups through MiNiFi.
Arroyo suits teams building stateful stream-processing pipelines with SQL and Rust extensions. A single-node cluster is intended for testing and development; production calls for a distributed deployment.