Arroyo
by Arroyo · Open-source SQL stream processing engine
BenchRank score
Screenshots of Arroyo
Homepage
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 Arroyo markets itself
A structured read of the promise, proof and page design on Arroyo’s captured homepage.
Homepage capture
“cloud-native stream processing”
- Angle: Developer-first
- Hero: Product video demo
Pricing
Published plans and prices from Arroyo’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
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
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
This doesn’t look right — report a problem with Arroyo’s score
Where this comes from
The Arroyo pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
Alternatives in Data Pipelines & ETL
Ranked 1
83.1 — BenchRank score out of 100CloudQuery
CloudQuery · Multi-cloud asset inventory with SQL policies and automation
Best for: Platform, security and FinOps teams that need a queryable inventory of a multi-cloud estate.
Ranked 2
76.3 — BenchRank score out of 100OpenSERP
OpenSERP · Open-source SERP API with an optional managed cloud
Best for: Developers and SEO teams needing programmatic multi-engine search data for AI grounding or rank tracking
Ranked 3
74.6 — BenchRank score out of 100Fivetran
Fivetran · Managed data movement into warehouses, lakes and applications
Best for: Data teams centralising SaaS, database and file data into a warehouse or lake without building pipelines.
Is this your product?
Claim Arroyo to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.