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Description

The DNI Cloud Platform operates as a cloud-based service that is hosted on Microsoft Azure. It is built on an entirely new framework and employs a microservice architecture that incorporates GDPR compliance. This architecture allows for the separation of services, enabling them to operate independently from one another. As a result, the overall complexity of the system is reduced while enhancing both flexibility and security. By utilizing this microservice structure, the platform effectively circumvents the limitations associated with traditional monolithic architectures, where all components are interconnected within a single, large system. This design allows for updates and modifications to individual functions without disrupting the entire platform. Additionally, users can take advantage of the numerous benefits that cloud computing offers, including enhanced scalability, greater flexibility, and improved automation capabilities, making the platform adaptable to evolving needs. Consequently, organizations can leverage this innovative architecture to better meet their operational requirements.

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

Apache Tomcat
Cloud Foundry
Kubernetes
Mariner Financial Wellness
Spring Framework
VMware Cloud

Integrations

Apache Tomcat
Cloud Foundry
Kubernetes
Mariner Financial Wellness
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

DotNet Internals

Founded

2009

Country

Norway

Website

www.dni.no/dni-cloud-platform

Vendor Details

Company Name

Spring

Website

spring.io/projects/spring-cloud-dataflow

Product Features

Identity Management

Access Certification
Compliance Management
Multifactor Authentication
Password Management
Privileged Account Management
Self-Service Access Request
Single Sign On
User Activity Monitoring
User Provisioning

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