Ascend Data Orchestration Platform
Data Orchestration
Automate your fastest path to data engineering and analytics engineering success with DataAware Orchestration
Automate the Most Complex Data Engineering Challenges with
90% Less Maintenance
Many of today’s current data orchestration frameworks are imperative by design, putting the burden on developers to design the tasks, connect them together via dependency relations, and pass them to a compute and infrastructure team/layer that manages the execution. This results in inflexible pipelines that break easily and are expensive to run and maintain.
However, Ascend’s data orchestration platform is declarative by design with a sophisticated control plane that enables the user to define the high-level blueprint of the pipeline, and the control plane does the rest. The data orchestration software via the control plane does the rest to manage the tasks that implement the blueprints meaning you can focus more on the business logic and transformations and less on the management and maintenance of the pipelines.
Want to learn more about the declarative vs imperative model?
Resource-Aware Workload Prioritization
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DataAware processing priority determine which components to schedule first when resources are constrained
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Increasing the priority on a component causes all its upstream components to be prioritized higher
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Negative priorities can be used to postpone work until excess capacity becomes available