Spring Cloud Data FlowSpring
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Related Products
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About
Your communities. Your network. Your platform. We've spent a decade integrating, patching, and extending weak, outdated, or missing feature gaps in digital workplace, community, or productivity platforms — to make them better, more modern, and connected — the way the customers wanted them. Multi-tenancy, any device, multi-personas - scalable, responsive, resilient, intelligent microservices. Multi-dimensional - unlimited any purpose communities, unique memberships, internal or external directory structures. Branding and personalization - packaged and extensible templates, blueprints, layouts. Digital transformation is the realignment of, or new investment in, technology, business models, and processes to drive new value for customers, employees, partners, and suppliers to more effectively compete in an ever-changing digital economy. The trouble exists, and persists, because these identified requirement areas are not addressed holistically with each other.
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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
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Mid-sized companies looking for a solution to manage their operations
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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
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAppFusions
Founded: 2010
United States
www.appfusions.com
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Categories |
Categories |
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Integration Features
Dashboard
Supported
ETL - Extract / Transform / Load
Not Supported
Metadata Management
Not Supported
Multiple Data Sources
Supported
Web Services
Supported
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Integrations
Apache Tomcat
Not Supported
Box
Supported
Cloud Foundry
Not Supported
Dropbox
Supported
Egnyte
Supported
Google Analytics
Supported
Google Workspace
Supported
Jira
Supported
Jive
Supported
Kubernetes
Not Supported
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Integrations
Apache Tomcat
Supported
Box
Not Supported
Cloud Foundry
Supported
Dropbox
Not Supported
Egnyte
Not Supported
Google Analytics
Not Supported
Google Workspace
Not Supported
Jira
Not Supported
Jive
Not Supported
Kubernetes
Supported
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