Arroyo

Cloud-native stream processing

Y CombinatorWinter 2023AcquiredB2BInfrastructureDeveloper ToolsSaaSOpen SourceCloud Computing

What they do

Problem

Companies need an easy way to process and transform Kafka data streams in real time without managing streaming clusters or fixed infrastructure costs.

Solution

A serverless, cloud-native stream processing platform built on the open-source Arroyo engine that lets users run real-time transformations, aggregations, and joins on Kafka streams using SQL with usage-based pricing.

Who it's for

Developers and data/streaming teams at companies using Kafka who need real-time stream processing.

Founders

Micah Wylde

Founder

Micah was previously tech lead for streaming compute at Splunk and Lyft, where he built real-time data infra powering Lyft's dynamic pricing, ETA, and safety features. He spends his time rock climbing, playing music, and bringing real-time data to companies that can't hire a streaming infra team.

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