Product Advantages
Product Advantages
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High Compatibility
GaussDB(for Redis) functions as good as Redis Cluster does and is 100% compatible with native APIs. You can migrate your on-premises Redis databases to GaussDB(for Redis) without modifying any code.GaussDB(for Redis) functions as good as Redis Cluster does and is 100% compatible with native APIs. You can migrate your on-premises Redis databases to GaussDB(for Redis) without modifying any code. -
Cost Effectiveness
Thanks to a shared storage pool, GaussDB(for Redis) is able to inexpensively process massive amounts of data.Thanks to a shared storage pool, GaussDB(for Redis) is able to inexpensively process massive amounts of data.
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High Reliability
Multi-copy, strict consistency based on a shared storage pool ensures data security and reliability.Multi-copy, strict consistency based on a shared storage pool ensures data security and reliability. -
Elastic Scaling
RocksDB has been customized to allow the storage capacity to be scaled up in seconds.RocksDB has been customized to allow the storage capacity to be scaled up in seconds.
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High Availability
Stateless compute nodes can automatically take over services from any node that becomes faulty, and storage pools can be deployed across AZs.Stateless compute nodes can automatically take over services from any node that becomes faulty, and storage pools can be deployed across AZs. -
Hitless Scale-Out
A proxy is used to ensure that upper-layer applications are not affected by underlying sharding.A proxy is used to ensure that upper-layer applications are not affected by underlying sharding.
Application Scenarios
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Gaming
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Internet
Gaming
GaussDB(for Redis) is the first Redis database with decoupled compute and storage in the gaming sector. It provides abundant features and ultra-high performance that are suitable for gaming services in high-concurrency scenarios.
Advantages
The compatibility of Gauss DB(for Redis) is as good as that of Redis Cluster, and you can migrate your on-premises Redis databases to GaussDB(for Redis) without modifying any code.
Multi-copy, strong consistency based on a shared storage pool ensures data security and reliability.
A single process can handle 100,000 queries per second.
Internet
GaussDB(for Redis) features robust read/write performance, elastic scalability, and high reliability, making it well suited to Internet services.
Advantages
Thanks to a shared storage pool, compute nodes can be scaled in or out quickly and smoothly without data migration.
A proxy is used to ensure that upper-layer applications are not affected by underlying sharding.
