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The top alternatives to DBOS in the Workflow Automation space, compared on features, pricing, and what they're best at.
DBOS is an open-source durable execution and workflow orchestration system that radically simplifies the development and operation of reliable, observable workflows by building them on database foundations. Co-founded by Postgres creator Mike Stonebraker alongside a joint team of MIT and Stanford computer scientists, DBOS started in 2020 as a research project with MIT, Stanford, and Carnegie Mellon University exploring how to scale and improve scheduling of millions of distributed tasks. Now a commercial company headquartered in Cambridge, MA, DBOS offers an open-source library to add durable computing to any software using lightweight decorators in Python, Go, Java, TypeScript, and now Kotlin through a Spring Boot starter. DBOS Cloud, launched in March 2024, is a serverless code execution platform specifically built for reliable, observable applications that runs serverless workflows 25x faster than AWS Lambda + Step Functions. The platform automatically resumes workflows after any interruption, with comprehensive support for transactional workflows, automatic checkpointing, and direct integration with AI agents through the DBOS MCP server that gives agents access to workflow troubleshooting tools.
One platform for routing, observability, tracing, and evals across every LLM provider.