KDP consistently achieves a resource utilization rate of over 60% for our customers, significantly higher than the average utilization rate of 30% in traditional systems.
Leverage the Cloud-Native Capabilities of Kubernetes to manage big data platform effectively
KDP consistently achieves a resource utilization rate of over 60% for our customers, significantly higher than the average utilization rate of 30% in traditional systems.
KDP is offering a standardized and automated solution for deploying and managing big data applications with improved efficiency and reduced time-to-market for big data projects.
KDP simplifies big data cluster management by standardizing maintenance procedures. With KDP, operations like deployment, upgrading, pod scaling, data backup and restore can be executed with just a few clicks.
As a shareable resource pool, cluster resources realize the mixed deployment of real-time/offline operations, and the utilization rate of cluster resources is increased to 60% compared with 30% of traditional big data platforms.
Integrate big data applications, middleware, and system software to rapidly build an efficient and reliable data platform.
We have expanded existing open source projects and created a KDP Core component on top of them to implement a stable big data platform that runs entirely on K8s, with production features like authentication, authorization, observability and more. We are sharing a simplified version of our implementation on GitHub, allowing developers to deploy an experimental platform with core components such as HDFS, Hive, Spark, and Kafka on K8s.
Explore via GithubLeverage the Cloud-Native Capabilities of Kubernetes to manage
big data platform effectively
KDP consistently achieves a resource utilization rate of over 60% for our customers, significantly higher than the average utilization rate of 30% in traditional systems.
KDP is offering a standardized and automated solution for deploying and managing big data applications with improved efficiency and reduced time-to-market for big data projects.
KDP simplifies big data cluster management by standardizing maintenance procedures. With KDP, operations like deployment, upgrading, pod scaling, data backup and restore can be executed with just a few clicks.
As a shareable resource pool, cluster resources realize the mixed deployment of real-time/offline operations, and the utilization rate of cluster resources is increased to 60% compared with 30% of traditional big data platforms.
Integrate big data applications, middleware, and system software to rapidly build an efficient and reliable data platform.
We have expanded existing open source projects and created a KDP Core component on top of them to implement a stable big data platform that runs entirely on K8s, with production features like authentication, authorization, observability and more. We are sharing a simplified version of our implementation on GitHub, allowing developers to deploy an experimental platform with core components such as HDFS, Hive, Spark, and Kafka on K8s.
Explore via Github