Multi-Cloud & Multi-Region Data Governance

Supports multi-cloud and hybrid cloud deployment architectures. Based on big data clusters in different cloud environments, it enables unified metadata management, unified data integration, unified task scheduling, and unified data development and governance, thereby achieving unified data management and data orchestration for multi-region big data clusters.

It supports multi-cloud and hybrid cloud architectures, delivering unified metadata management, data integration, task scheduling, and data development/governance across big data clusters to enable centralized data management and orchestration for multi-region deployments.

Industry Pain Points

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Breaking Cloud Barriers

With international development, many customers' IT systems involve multi-cloud scenarios: domestic operations may use Alibaba Cloud, Huawei Cloud, Tencent Cloud, etc., while overseas operations prefer AWS, Google Cloud, Microsoft Cloud, or even self-built data centers. This drives the demand for a unified multi-cloud big data management platform.

Breaking Down Data Silos

Many large clients have multiple data centers. For example, numerous subsidiaries under central state-owned enterprises have their own data centers, and cross-border companies have multiple data centers both domestically and internationally. How to uniformly manage these multiple data centers, break down data silos, and achieve data sharing has become a major challenge.

Value Proposition

Unified Metadata

Supports multi-cloud and hybrid cloud deployment architectures. Based on big data clusters in different cloud environments, it unifies the management of metadata across multiple clouds and multiple data regions.

Unified Scheduling

Supports various public cloud engines and other engines on the market. Through unified task scheduling and orchestration, it enables unified scheduling and management of data tasks across multiple clouds and multiple data regions.

Federated Analysis

Based on unified engine technology and a unified metadata system, it supports a federated query engine that works across data sources and engines. It connects data sources for clients within the data center, enabling integrated computation and analysis of dispersed data in a cost-effective manner, reducing resource costs.

Unified Metadata

Supports multi-cloud and hybrid cloud deployment architectures. Based on big data clusters in different cloud environments, it unifies the management of metadata across multiple clouds and multiple data regions.

Unified Scheduling

Supports various public cloud engines and other engines on the market. Through unified task scheduling and orchestration, it enables unified scheduling and management of data tasks across multiple clouds and multiple data regions.

Federated Analysis

Based on unified engine technology and a unified metadata system, it supports a federated query engine that works across data sources and engines. It connects data sources for clients within the data center, enabling integrated computation and analysis of dispersed data in a cost-effective manner, reducing resource costs.

Solution Architecture

Customer Cases

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One-Stop Development and Governance Platform for a State-Owned Enterprise

The central state-owned enterprise group has many subsidiaries, each using different public clouds (Alibaba Cloud, Huawei Cloud, Tencent Cloud, etc.), and some even have self-built IDC data centers. Based on cost considerations, the group needs to build a group-level data center on top of the existing subsidiary data centers. By adopting the CyberData platform's unified management capability for multi-cloud and multi-region data centers, it achieves unified management of all data centers group-wide, fulfilling the data foundation construction goals for the digital transformation and digital operations of a large central state-owned enterprise.

The central state-owned enterprise group has many subsidiaries, each using different public clouds (Alibaba Cloud, Huawei Cloud, Tencent Cloud, etc.), and some even have self-built IDC data centers. Based on cost considerations, the group needs to build a group-level data center on top of the existing subsidiary data centers. By adopting the CyberData platform's unified management capability for multi-cloud and multi-region data centers, it achieves unified management of all data centers group-wide, fulfilling the data foundation construction goals for the digital transformation and digital operations of a large central state-owned enterprise.