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What is Spring Cloud Data Flow?

The architecture based on microservices fosters effective handling of both streaming and batch data processing, particularly suited for environments such as Cloud Foundry and Kubernetes. By implementing Spring Cloud Data Flow, users are empowered to craft complex topologies for their data pipelines, utilizing Spring Boot applications built with the frameworks of Spring Cloud Stream or Spring Cloud Task. This robust platform addresses a wide array of data processing requirements, including ETL, data import/export, event streaming, and predictive analytics. The server component of Spring Cloud Data Flow employs Spring Cloud Deployer, which streamlines the deployment of data pipelines comprising Spring Cloud Stream or Spring Cloud Task applications onto modern infrastructures like Cloud Foundry and Kubernetes. Moreover, a thoughtfully curated collection of pre-configured starter applications for both streaming and batch processing enhances various data integration and processing needs, assisting users in their exploration and practical applications. In addition to these features, developers are given the ability to develop bespoke stream and task applications that cater to specific middleware or data services, maintaining alignment with the accessible Spring Boot programming model. This level of customization and flexibility ultimately positions Spring Cloud Data Flow as a crucial resource for organizations aiming to refine and enhance their data management workflows. Overall, its comprehensive capabilities facilitate a seamless integration of data processing tasks into everyday operations.

What is Akka?

Akka is an all-encompassing toolkit tailored for the development of highly concurrent, distributed, and resilient applications that are message-driven, appealing to both Java and Scala programmers. In addition to this, Akka Insights acts as a dedicated monitoring and observability solution specifically designed for environments utilizing Akka. By leveraging Actors and Streams, developers are able to build systems that optimize server resource utilization while also allowing for seamless scalability across multiple servers. Grounded in the principles outlined in The Reactive Manifesto, Akka provides the tools necessary for creating self-healing systems that remain responsive in the face of failures, effectively eliminating single points of failure in distributed architectures. It boasts features such as load balancing and adaptive routing among nodes, along with the integration of Event Sourcing and CQRS through Cluster Sharding methods. Moreover, it supports Distributed Data to achieve eventual consistency through the use of Conflict-free Replicated Data Types (CRDTs). The framework also offers asynchronous, non-blocking stream processing complemented by built-in backpressure management. With its fully asynchronous HTTP server and client capabilities, Akka serves as an exceptional foundation for microservices development, while its integration with Alpakka further enhances streaming capabilities, facilitating more efficient data processing in complex applications. This adaptability and range of features make Akka a highly versatile and appealing choice for contemporary application development, ensuring developers can meet the demands of modern computing environments.

Media

Media

Integrations Supported

AWS Marketplace
Apache Tomcat
Cloud Foundry
Dash
Kubernetes
New Relic
Sematext Cloud
Spring
Spring Framework
VMware Cloud

Integrations Supported

AWS Marketplace
Apache Tomcat
Cloud Foundry
Dash
Kubernetes
New Relic
Sematext Cloud
Spring
Spring Framework
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spring

Company Website

spring.io/projects/spring-cloud-dataflow

Company Facts

Organization Name

Akka

Company Website

akka.io

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