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ease
features
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support

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Description

Akka serves as a powerful toolkit designed for creating highly concurrent, distributed, and resilient applications driven by messages, specifically tailored for Java and Scala. Complementing this is Akka Insights, a sophisticated monitoring and observability solution specifically engineered for Akka environments. With the use of Actors and Streams, developers can create systems that efficiently utilize server resources and expand across multiple servers. Grounded in the tenets of The Reactive Manifesto, Akka empowers the development of systems capable of self-repairing and maintaining responsiveness despite encountering failures. It facilitates the creation of distributed systems free from single points of failure, incorporates load balancing and adaptive routing among nodes, and supports Event Sourcing and CQRS in conjunction with Cluster Sharding. Furthermore, it enables Distributed Data to ensure eventual consistency through CRDTs, while also providing asynchronous, non-blocking stream processing equipped with backpressure mechanisms. Its fully asynchronous and streaming HTTP server and client capabilities make it an excellent foundation for microservice architecture, and the integration with Alpakka enhances its streaming capabilities for various applications. As a result, Akka stands out as a comprehensive solution for modern application development.

Description

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Akka

Website

akka.io

Vendor Details

Company Name

Spring

Website

spring.io/projects/spring-cloud-dataflow

Product Features

Alternatives

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Spark Streaming

Apache Software Foundation

Alternatives

Amazon MSK Reviews

Amazon MSK

Amazon