Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Situation Awareness
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive

Application Scenarios

Updated on 2025-01-03 GMT+08:00

As a key-value database compatible with Redis APIs, GeminiDB Redis API extends application scenarios of Redis so that it can better meet diversified service requirements such as persistent and hybrid storage.

E-Commerce

  • For e-commerce applications, some commodity data is more frequently queried than others. GeminiDB Redis API stores frequently queried commodity information in memory as hot data, and cold data in the shared storage pool. This not only meets the quick access requirements of popular commodities, but also avoid excessive in-memory storage costs
  • GeminiDB Redis API can permanently store massive amounts of historical order data of e-commerce applications. It allows you to access data through the Redis API and provides TB-level storage.
  • There may be a large number of concurrent access requests within a short period of time during an e-commerce promotion. GeminiDB Redis API works as a front-end cache (large memory required) to help back-end databases handle service peaks. You can easily add compute nodes in seconds to handle the expected peak traffic.

Gaming

  • The schema of gaming services is simple. You can select GeminiDB Redis API as a persistent database and use simple Redis APIs to quickly develop and launch services. For example, the sorted set structure of Redis can be used to display game rankings in real time.
  • In delay-sensitive gaming scenarios, GeminiDB Redis API can be used as the front-end cache (large memory required) to accelerate access to applications.

Live Streaming

The most-viewed live streaming content usually dominates most traffic of the live streaming applications. GeminiDB Redis API can efficiently use memory resources by retaining popular live streaming data in the memory and other data in the shared storage, reducing your business costs.

Online Education

Online education applications store a large amount of data such as courses and Qs&As. However, only hot data (including most-viewed courses, latest question libraries, and lectures by famous teachers) is frequently accessed. GeminiDB Redis API can save data in memory or shared storage based on data access frequency, achieving a balance between performance and costs.

Persistent Storage for Other Applications

With the rapid development of the Internet, various large-scale applications have increasing requirements for persistent storage. Specifically, a massive amount of data needs to be stored, including historical orders, feature engineering, log records, location coordinates, machine learning, and user profiles. A common feature of these scenarios is large data volume and long validity period. Therefore, a large-capacity and low-cost key-value storage service is required to collect and transfer data. Redis is the most widely used key-value service. Its various data structures and operation APIs have innate advantages in storing such data. However, the native Redis can only be used as a cache and cannot guarantee persistence.

In addition to compatibility with Redis APIs, GeminiDB Redis API provides large-capacity, low-cost, and high-reliability data storage capabilities, making it well-suited to persistent storage scenarios.

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback