Spring Cloud Data FlowSpring
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Related Products
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About
Quickplay’s OTT solution harnesses cloud-native technologies, including containers, microservices, a service mesh, APIs, and immutable infrastructure. The tech stack provides significantly better performance, a modular approach for feature expansion, continuous delivery for rapid iteration, and built-in scalability, observability, and security. Our end to end streaming platform is built on a future-proof technology stack designed to deliver personalized experiences and to drive engagement with actionable data insights. Our Video CMS future-proofs digital distribution by meeting the demands of high concurrency, low latency, and resiliency expected of OTT video, while optimizing cloud infrastructure spend. Our video pipeline is designed for high-quality, low-latency streaming at scale. We have experience serving thousands of linear and virtual channels, live events and video on demand and can build custom workflows to meet your customer needs.
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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
Not 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
Organizations of all sizes that need an OTT solution
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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
Not Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
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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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationQuickplay
Founded: 2019
Canada
quickplay.com
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Company InformationSpring
spring.io/projects/spring-cloud-dataflow
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Alternatives |
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Categories |
Categories |
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OTT Features
API Access
Supported
Content Organization
Supported
Live Events
Supported
Monetization Tools
Not Supported
Multi-Service Integration
Supported
Scheduling
Supported
SDK
Supported
Video Hosting/Storage
Supported
Video Quality Optimization
Supported
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Integrations
Apache Tomcat
Not Supported
Cloud Foundry
Not Supported
Kubernetes
Not Supported
Mariner Financial Wellness
Not Supported
Spring Framework
Not Supported
VMware Cloud
Not Supported
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Integrations
Apache Tomcat
Supported
Cloud Foundry
Supported
Kubernetes
Supported
Mariner Financial Wellness
Supported
Spring Framework
Supported
VMware Cloud
Supported
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