FEATURES

WE PROVIDE MORE THAN 30+ TYPES OF JOBS OUT-OF-BOX website

Comprehensive Ecosystem Scheduling

Our CloudAIScheduler platform provides a fully integrated data scheduling ecosystem featuring a multitude of job components. It offers flexible version control, empowering users to tailor each individual run without altering the design flow of the original template.

Complex Workflow Execution Management

Our platform features advanced fault tolerance mechanisms and comprehensive workflow execution management, ensuring high data quality and significantly reducing the operational workload. It empowers operations teams to swiftly and efficiently handle a wide range of complex scenarios.

Defining the Workflow in Our Ecosystem

Our platform offers comprehensive DAG (Directed Acyclic Graph) development capabilities, enabling users to design and manage workflow tasks with utmost flexibility. Whether you're a seasoned developer or a business analyst, you can orchestrate tasks using an UI, a low-code interface, and Python scripts.

Enhanced Time Management

Our platform enables the customization of diverse business calendars and cut-off time management, catering to the collaborative needs of multiple departments within an enterprise.

End-to-End Development Chain Management

Our platform is a leader in end-to-end development chain management, offering robust support for automated CI/CD (Continuous Integration/Continuous Deployment) processes. It streamlines local file uploads and simplifies cross-environment packaging and deployment. This capability empowers enterprises to quickly adapt to DataOps processes, greatly improving efficiency in development, testing, and deployment workflows.

High Expansibility

Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster

Cloud-Native and Batch-Streaming Integration

Our platform supports public, private, and hybrid cloud environments, fully embracing cloud-native architectures. It is compatible with traditional data warehouses and open-source data lakes, providing seamless management of both batch and streaming tasks. This integration enables enterprise users to efficiently schedule and manage data across data lakes, data warehouses, and various cloud environments.

Rich Scenarios

Support multi-tenant. Support many task types e.g., spark, flink, hive, Mr, shell, python, sub_process

OUR APPROACH

our company is here to help you

Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean.

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