Honors | GBase 8a Cloud Data Warehouse Selected for the "2025 China Cloud Ecosystem Typical Application Case Collection"
Recently, the "2025 China Cloud Ecosystem Typical Application Case Collection" was officially released by the Zhongguancun Cloud Computing Industry Alliance. The collection features 90 representative industry practices, aiming to set benchmarks, provide replicable success stories, and accelerate digital transformation across various sectors.GBase 8a Cloud Data Warehouse (GCDW) has been recognized for its extensive deployment and practical achievements in the financial industry, marking strong endorsement of GBase's cloud-native capabilities and product value from the cloud ecosystem.
Core Capabilities: GBase 8a Cloud Data Warehouse — Built for the Cloud
The selected case highlights the advanced capabilities of GBase 8a Cloud Data Warehouse (GCDW), a next-generation analytical database designed for the cloud era. It offers several innovative features:
Truly elastic scaling: A cloud-native architecture with decoupled storage and compute allows both resources to scale independently and flexibly based on business demands. Compute nodes can be expanded in seconds without complex data redistribution.
Efficient resource utilization: Multi-tenancy and resource isolation enable multiple compute clusters to share the same data, drastically reducing data redundancy and storage costs. Compute resources can be time-shared to handle peak workloads (e.g., quarterly reports) with ease, helping organizations reduce overall resource consumption by over 30%.
Out-of-the-box cloud service experience: A simple web-based management interface allows business units to subscribe and rapidly provision resources on-demand after a single deployment in a private cloud, shrinking provisioning time from days or weeks to hours or even minutes.
Stability without compromising performance: Through multiple core technology optimizations, GCDW delivers query performance on par with traditional tightly-coupled MPP clusters even in a decoupled storage-compute architecture, ensuring high performance and high concurrency for enterprise applications.
Advancing toward data lakehouse: The product supports metadata and storage integration with data lakes (e.g., Hudi, Hive), leveraging its powerful MPP engine to unified analytics on structured and unstructured data, enabling a converged data platform.
In-Depth Practice: Supporting a Major State-Owned Bank’s Critical Business Systems
The most compelling part of this case is the large-scale, deep-tier deployment of GCDW at a major state-owned bank. The bank and GBASE established a joint innovation lab to leverage the cloud data warehouse for core system upgrades:
1. Broad rollout across multiple critical scenarios
GCDW now supports the bank’s risk mart, regulatory reporting, financial accounting platform, branch marts, wide-table services, and numerous other systems, with a total cluster size approaching a thousand nodes. This fully validates its stability, security, and manageability in large-scale production environments.
2. Tangible improvements in operational and resource efficiency
Agile responsiveness: Resource provisioning time was slashed from days or weeks to hours, accelerating business innovation.
High utilization: Time-sharing of compute resources and on-demand storage scaling resolved the mismatch between storage and compute in legacy architectures, significantly boosting overall infrastructure utilization.
3. Meeting the most stringent financial-grade requirements
This large-scale deployment went far beyond technical pilots—it supports daily banking operations with massive transaction volumes and extreme fault-tolerance requirements. It proves that GCDW fully satisfies the strictest business continuity and data reliability standards of a top state-owned bank in terms of functionality, performance, and consistency.
Being selected for a national-level cloud ecosystem case study is a dual recognition of GBase's technical roadmap and its proven real-world value. Moving forward, GBASE will continue to deepen cooperation with benchmark customers across industries, leveraging its massively field-proven, cloud-native data capabilities to help more enterprises build efficient, self-determined, and future-ready data foundations.