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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Your communities. Your network. Your platform. For over a decade, we have been diligently working to enhance and modernize digital workplace, community, and productivity platforms by addressing the shortcomings of outdated features and integrating necessary improvements based on customer feedback. Our solutions offer multi-tenancy, device compatibility, and support for various user personas, all while being scalable, responsive, and powered by resilient, intelligent microservices. We enable the creation of limitless communities tailored for any purpose, featuring distinctive memberships and structured directories for both internal and external users. Our focus on branding and personalization provides clients with customizable templates, blueprints, and layouts to suit their needs. Digital transformation involves reassessing or investing anew in technology, business models, and processes to unlock additional value for customers, employees, partners, and suppliers, enabling them to thrive in a rapidly evolving digital marketplace. The ongoing challenge lies in the failure to comprehensively address these interconnected requirements, which hinders effective progress. This gap highlights the necessity for a more integrated approach to fully leverage digital potential.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Tomcat No 
Box Yes 
Cloud Foundry No 
Dropbox Yes 
Egnyte Yes 
Google Analytics Yes 
Google Workspace Yes 
Jira Yes 
Jive Yes 
Kubernetes No 
Mariner Financial Wellness No 
Mixpanel Yes 
New Relic Yes 
Spring Framework No 
Triskell PPM Yes 
VMware Cloud No 

Integrations

Apache Tomcat Yes 
Box No 
Cloud Foundry Yes 
Dropbox No 
Egnyte No 
Google Analytics No 
Google Workspace No 
Jira No 
Jive No 
Kubernetes Yes 
Mariner Financial Wellness Yes 
Mixpanel No 
New Relic No 
Spring Framework Yes 
Triskell PPM No 
VMware Cloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

AppFusions

Founded

2010

Country

United States

Website

www.appfusions.com

Vendor Details

Company Name

Spring

Website

spring.io/projects/spring-cloud-dataflow

Product Features

Integration

Dashboard Yes 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources Yes 
Web Services Yes 

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