#33 in Data Pipelines & ETLUpdated 2026-08

Arroyo

by Arroyo · Open-source SQL stream processing engine

16.5 — BenchRank score out of 100

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Overview

Arroyo is a stream processing engine that runs SQL queries over streaming data. It ships as a single binary that runs locally on MacOS or Linux and deploys with Docker or Kubernetes, with connectors including Kafka, Kinesis, Postgres, MySQL, Redis and Delta Lake. It supports time windows, streaming joins, exactly-once processing, a web UI and a REST API.

Best for: Data teams that want real-time streaming pipelines written in SQL without a dedicated streaming team
Pricing: No prices are shown on the captured pages; the engine is open source under the Apache 2.0 licence and self-hostable.
Runs on: Self-hosted

Strengths and trade-offs

Strengths

Pipelines are written in standard analytical SQL
Single binary; runs locally or via Docker and Kubernetes
Exactly-once processing, time windows and streaming joins
Apache 2.0 licensed and self-hostable

Trade-offs

UDFs must be written in Rust; Python is listed as coming soon
No hosted or managed offering is shown; you run and operate it yourself
Now owned by Cloudflare, so the roadmap may follow that platform
Performance and scale claims come from the vendor's own pages only

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support: 0 out of 100
Documentation: 0 out of 100
Agent friendliness: 35 out of 100
Changelog: 55 out of 100
Marketing site structure: 25 out of 100
Operational trust: 0 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness: 60 out of 100
Maintenance: 100 out of 100

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