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Arroyo

Free#19 of 25 in Stream Processing SoftwareStream Analytics Software

Arroyo: A Rust-based stream processor for SQL pipelines, event-time logic, and stateful workloads. Ranked #19 of 25 in Stream Processing Software by our editors (7.5/10); pricing: Open source; best for modern teams wanting SQL and Rust streaming.

7.5/10Editor score
Arroyo7.5 Visit Arroyo

At a glance

  • Editor score
    7.5 / 10
  • Pricing
    Open source
  • Best for
    Modern teams wanting SQL and Rust streaming
  • Paid from
    Free
  • Deployment model
    Hybrid
  • Founded
    2022
  • Facts checked
    21 Sep 2026
Arroyo screenshot
  • Where it wins

    • SQL pipelines support windows, joins, aggregations, and event-time processing.
    • Exactly-once semantics and checkpointed state support stateful workloads.
    • Connects with Kafka, Postgres, MySQL, Kinesis, MQTT, and more.
  • Where it doesn't

    • Language support centers on SQL and Rust.
    • Self-hosted deployments place infrastructure responsibility on the team.
    • Founded in 2022, it has a shorter operating history than established alternatives.

Our verdict on Arroyo

Arroyo is an open-source, distributed stream-processing engine written in Rust. It lets data engineers, data scientists, and product teams define pipelines in SQL for bounded and unbounded streams. Its intended uses include real-time analytics, ingestion, fraud detection, and machine-learning feature pipelines. Deployment options include self-hosting on Linux, macOS, Docker, virtual machines, or Kubernetes, alongside Arroyo Cloud. The product is a fit for teams that want SQL-based streaming with Rust available for user-defined functions.

Its main technical strength is the combination of stateful processing and event-time controls. Arroyo supports tumbling, sliding, and session windows; watermarks; stream-stream, lookup, and updating joins; checkpointing; and exactly-once processing semantics. That gives teams a broad set of building blocks for streaming analytics and event-driven pipelines rather than a tool limited to simple transformations. JSON, Avro, Parquet, and raw-text formats also cover common data interchange needs. Teams that need other programming languages for custom functions may find the SQL-and-Rust focus restrictive.

Arroyo also has a wide connection surface, including Kafka, Confluent Cloud, Redpanda, Kinesis, Postgres, MySQL, RabbitMQ, NATS, MQTT, WebSocket, Server-Sent Events, Filesystem, and Polling HTTP. A web UI and REST API support operational access. The open-source model suits organizations that want control over deployment, while Arroyo Cloud is described as managed. Choose Arroyo for modern SQL and Rust streaming workloads that need windows, joins, state, and event-time processing. Teams seeking a longer-established product or broader language coverage should consider alternatives.

Your product? Our editors can test Arroyo in depth and publish a review, labelled as paid · from $149/mo →

Arroyo pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on arroyo.dev

Arroyo fact sheet

Free planNot verified
Paid fromFree
Deployment modelHybrid
SQL processingYes
Stateful processingYes
Event-time windowsYes
Supported languagesSQL, Rust
Source connectors16
DeploymentCloud, Self-hosted
PlatformsWeb, macOS, Linux
SupportEmail, Community, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations14 integrations: Confluent Cloud, Filesystem, Fluvio, Kafka, Kinesis, MySQL … See all →
PricingOpen source
Websitearroyo.dev
Facts checked21 Sep 2026

Arroyo integrations

Arroyo lists 14 integrations on its own site.

  • Confluent Cloud
  • Filesystem
  • Fluvio
  • Kafka
  • Kinesis
  • MySQL
  • MQTT
  • NATS
  • Polling HTTP
  • Postgres
  • RabbitMQ
  • Redpanda
  • Server-Sent Events
  • WebSocket

See all Arroyo integrations →

Alternatives to Arroyo

See all Arroyo alternatives →

Also Ranked In

Arroyo is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Arroyo 7.5/10

Arroyo is listed in our Stream Processing Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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