Benthos Stream Processor
Benthos is a lightweight, declarative stream processor for ETL and event pipelines. Write YAML configs instead of code, deploy as Docker or serverless, integrate 200+ protocols (Kafka, S3, HTTP, databases). Ideal for data teams avoiding code overhead.
What is Benthos Stream Processor
Benthos is a lightweight, configuration-driven stream processor for real-time data pipelines. Instead of writing code, you define pipelines in YAML, specifying inputs (Kafka, S3, HTTP), transformations (map, filter, aggregate), and outputs (databases, queues, APIs). Benthos handles deployment, scaling, and monitoring, making it ideal for data teams wanting productivity without infrastructure complexity. - Low Code: YAML-driven; no language lock-in or compilation overhead
💰 Salary by region
| Region | Junior | Mid | Senior |
|---|---|---|---|
| USA | $100k | $160k | $270k |
| UK | £80k | £128k | £215k |
| EU | €85k | €135k | €230k |
| CANADA | C$120k | C$195k | C$330k |
🎯 Careers using Benthos Stream Processor
❓ FAQ
How does Benthos compare to Kafka Streams or Apache Flink?
Can I deploy Benthos serverless?
Does Benthos support complex stateful transformations?
How do I handle failures and retries in Benthos?
Is Benthos suitable for real-time analytics?
What is the typical throughput for a single Benthos instance?
How do I monitor Benthos pipelines in production?
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