Arroyo vs Siddhi
Arroyo
arroyo.devSiddhi
siddhi.ioSide by side
| Figure | Arroyo | Siddhi |
|---|---|---|
| Price from | $5/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 0 |
| Spec score · Stream Analytics Software | 9.2 (#1) | 7.4 (#21) |
| Spec score · Stream Processing Software | 9.1 (#1) | 7.3 (#22) |
| Connectors | Documented connectors include Kafka, Confluent Cloud, Kinesis, MySQL, Postgres, MQTT, NATS, Redis, Redpanda, Fluvio, Filesystem, Iceberg, WebSocket, SSE, Webhook and HTTP polling. | The site lists integrations with messaging systems including NATS, Kafka, and JMS, plus databases, HTTP and gRPC services, filesystems, and email. |
| Data formats | Native formats include JSON, Avro, Parquet, raw text and raw binary, with custom formats possible through UDFs. | The site lists JSON, XML, Avro, Protobuf, text, binary, key-value, and CSV message formats. |
| Deployment | Arroyo can run as a single binary, Docker container or Kubernetes deployment, with SQLite for local use and Postgres recommended for distributed production. | Siddhi can run embedded as a Java or Python library, as a microservice on bare metal or a VM, in Docker, or on Kubernetes. |
| Support | The deployment guide invites users rolling out clusters to contact [email protected] or ask questions on Discord. | The site links to community support resources including a mailing list, contribution information, and security reporting. |
| What it does | Arroyo is a Rust distributed stream-processing engine for running SQL over bounded and unbounded event streams with sub-second results. | Siddhi is an open-source stream and complex event processing platform for building event-driven applications. |
Plans
Arroyo
- Arroyo open-sourceFree
- Open-source Arroyo EngineFree
- Cloudflare Workers Paid with Pipelines$5 a month
In their own words
Arroyo
Arroyo is an open-source distributed engine for processing stateful computations on data streams, with sub-second results. Users build streaming pipelines in analytical SQL, including complex queries, windows and joins. Arroyo supports checkpointing for fault tolerance and recovery, exactly-once processing, and horizontal and vertical rescaling; it says the engine can handle millions of events per second. Its connectors include Kafka, Kinesis, MQTT, MySQL, Postgres, Redis, Delta Lake, HTTP and WebSocket, among others. It reads and writes JSON, Avro, Parquet, text and binary, and includes more than 300 SQL functions. Rust scalar, aggregate and asynchronous user-defined functions can extend SQL. The web UI supports connection management, query development and testing, and pipeline monitoring; pipeline management is also available through a REST API. Single-node clusters are intended for development and testing, while production deployments use a distributed cluster with Arroyo’s scheduler or Kubernetes. It is Apache 2.0 licensed, free at free, and self-hostable.