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Execution engines that decouple orchestration logic from compute to support diverse infrastructure environments.
Distinct from Serverless Execution Environments: Distinct from serverless environments: focuses on the pluggable orchestration engine architecture rather than the compute runtime itself.
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Dagster is a data orchestration platform designed to manage the entire lifecycle of data assets through declarative modeling and version-controlled code. It functions as a workflow engine that treats data assets as first-class primitives, allowing teams to define, schedule, and monitor complex pipelines while maintaining clear visibility into lineage, dependencies, and data quality. The platform distinguishes itself by using a code-as-configuration framework that enables standard software engineering practices, such as unit testing and local mocking, to be applied directly to data workflows.
Decouples the orchestration logic from the compute layer to allow tasks to run across diverse environments like containers or serverless.