Cloud Deployment

Rapids DBaaS Cloud

Rapids DBaaS Cloud System Architecture
Product Strength
Product Features

The Rapids Cloud is composed of a series of physical hosts on a cloud-based architecture to form an operational resource pool that is centrally managed and regulated by the Rapids Management Server. The Management Server accepts the resource request submitted by the user and further processes and verifies it. The approved request will be sent to a member server in the computing resource allocation pool in order to create a cluster for the user to use.

Real time

Rapids ParallelAI, Rapids Federation, and Rapids StreamDB, the three core components of RDP, enable sophisticated real-time big data processing and analysis.

High performance

TB-level of data can be processed and analyzed within seconds, which empowers flexible, real-time business portfolio analysis.

High compatibility

RDP is compatible with a wide range of conventional or new SQL-based Business Intelligence (BI) products.

Cost efficient 

A unified big data analytics platform integrated with core technologies and tools to build big data pipelines and tackle challenges, providing consistent user experience at minimal cost.

Life cycle management

The introduction of life cycle management enables idle resources to be recycled in a timely manner.

01 Fast and standardized deployment improves installation and configuration efficiency of small or large scale clusters.
02 High scalability improves equipment resource utilization to ensure maximum performance, concurrency and availability.
03 Hardware resource pool management maximizes hardware utilization efficiency and improves infrastructure flexibility.
04 Life cycle management enables timely recovery of idled resources.

Applicabilities

Cloud Deployment User Image

Direct User
  • Directly log onto the Cloud platform
  • No need to install the software
  • Provide real-time analysis of business operations

Cloud Deployment SaaS Service Provider

SaaS Service Provider
  • Provide various conventional and new SQL-based BI products with the strongest underlying data processing and analysis platforms
  • Better compatibility

Large Companies
  • Deploy the entire SaaS system embedded with visualization analysis needs on your private Cloud
  • Better meet the company's internal big data analysis needs