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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Tomcat No 
Cloud Foundry No 
Kubernetes No 
Mariner Financial Wellness No 
Spring Framework No 
VMware Cloud No 

Integrations

Apache Tomcat Yes 
Cloud Foundry Yes 
Kubernetes Yes 
Mariner Financial Wellness Yes 
Spring Framework Yes 
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 Yes 
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 No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

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

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 No 
Compliance Management No 
Multifactor Authentication No 
Password Management Yes 
Privileged Account Management No 
Self-Service Access Request No 
Single Sign On No 
User Activity Monitoring Yes 
User Provisioning No 

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