DAGWorks AI is a technology company that provides standardized open-source frameworks (such as Apache Hamilton and Apache Burr), focusing on helping teams efficiently build, observe, and manage reliable data and AI pipelines.
It's suitable for data engineers, ML engineers, and teams building modular, observable, and maintainable data transformation and ML pipelines, with a particular emphasis on feature engineering and data lineage tracking.
Its core open-source frameworks (Apache Hamilton/Burr) are free to use. The DAGWorks Platform offers hosted services and advanced features, with a 14-day free trial for teams; for pricing, please see the official website.
The platform supports self-hosted deployments to retain control over data; cloud-hosted services are pursuing SOC and HIPAA compliance certifications and provide access controls, audit logs, etc.
Apache Burr focuses on simplifying the development and debugging of stateful applications (such as RAG and AI agents), providing state management, persistence, and end-to-end observability tooling.
Langfuse AI is an open-source LLM engineering and operations platform designed to help development teams build, monitor, debug, and optimize applications based on large language models. It enhances AI application development efficiency and observability by providing features such as application tracing, prompt management, quality assessment, and cost analysis.
Dagster is a modern, open-source data orchestration platform that puts data assets at the core. It helps data engineers, scientists, and platform teams build, schedule, and monitor reliable data and AI pipelines. With a declarative programming model, powerful lineage visualization, and a refined developer experience, Dagster integrates seamlessly with your existing tech stack for ETL, MLOps, and complex data processing workloads.
