Spring Cloud Data FlowSpring
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About
Conductor is a workflow orchestration engine that runs in the cloud. Conductor was built to help Netflix orchestrate microservices-based process flows with the following features. A distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. A DAG (Directed Acyclic Graph) based workflow definition. Workflow definitions are decoupled from the service implementations. Provide visibility and traceability to these process flows. Simple interface to connect workers, which execute the tasks in workflows. Workers are language agnostic, allowing each microservice to be written in the language most suited for the service. Full operational control over workflows with the ability to pause, resume, restart, retry and terminate. Allow greater reuse of existing microservices providing an easier path for onboarding.
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About
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers and enterprises in need of a solution to orchestrate microservices-based process flows
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Audience
Companies and professionals seeking a solution to manage their streaming and batch data processing operations
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationConductor
netflix.github.io/conductor/
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Categories |
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Integrations
Apache Tomcat
Cloud Foundry
Kubernetes
Mariner Financial Wellness
Spring Framework
VMware Cloud
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Integrations
Apache Tomcat
Cloud Foundry
Kubernetes
Mariner Financial Wellness
Spring Framework
VMware Cloud
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