Why Huawei Cloud GeminiDB?
Scalability
Shared-nothing and shared storage architecture: Stateless compute nodes share a stateful distributed storage engine.
High resource utilization: Built-in proxy clusters support dynamic data load balancing.
Elastic scaling: Compute nodes can be added in minutes and storage can be scaled up in seconds.
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Reliability
No data loss & Strong data consistency: Three copies of data are stored in a distributed shared storage pool, ensuring zero data loss and strong consistency for multi-point access.
High availability: Superlative fault tolerance (N-1 reliability) ensures that if a node is faulty, services can be taken over in seconds with little impact on services.
Stable performance: GeminiDB has stability designed in, from end to end, with distributed multithreading at the compute layer and remote direct memory access (RDMA) at the storage layer. The RocksDB storage engine is optimized, and cold and hot data separation accelerates hotspot data access.
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Cost-effectiveness
Dedicated compute: With decoupled storage and compute, GeminiDB leverages dedicated compute nodes to boost computing performance and improve the compute resource utilization of standby servers that use traditional networks.
Low memory cost: GeminiDB Redis API has less demanding memory requirements than open-source Redis, which reduces hardware costs by as much as 75% to 90%.
Low storage cost: For time series data, with the support for adaptive compression and automated hot and cold tiered storage, GeminiDB Influx API requires you to pay only 1/10 of the storage cost of a relational database.
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Comprehensive Solutions
Comprehensive Solutions
Continuous Innovation with Millions of Customers
Continuous Innovation with Millions of Customers
GeminiDB APIs
GeminiDB APIs
GeminiDB Redis API
An enterprise-grade Redis database
GeminiDB Mongo API
A MongoDB-compatible document database
GeminiDB Cassandra API
A wide-table database with high performance
GeminiDB Influx API
A high-performance time series database