GeminiDB
GeminiDB

    GeminiDB

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    Compatibility

    Compatibility with the Redis, MongoDB, Cassandra, DynamoDB, and InfluxDB protocols

    Scalability

    Decoupled storage and compute means they can be scaled independently. Clusters can be scaled quickly, with no data migration required

    Reliability

    Enterprise-class data consistency, fault reconstruction, and backup and restoration

    Cost-effectiveness

    Low storage costs with support for adaptive compression and tiered storage of hot and cold data

    Why Huawei Cloud GeminiDB?

    Scalability

    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.

    Reliability

    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.

    Cost-effectiveness

    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.

    Comprehensive Solutions

    Comprehensive Solutions

    Key-Value
    Data Characteristics

    Key-value data and traditional Redis data structures like hashes, lists, sorted sets, sets, and streams

    Mass data

    Application Scenarios

    Ads: To store feature profiles, AI services require low-latency and key-value (KV) databases that can hold lots of data. Media terminals also require low latency. GeminiDB Redis API is a great fit for advertising services using real-time advertising (RTA) and on the application platform, demand-side platform (DSP).

    Gaming: GeminiDB Redis API helps game companies store player data, activities, rankings, friends, and more. It helps them respond quickly to data issues with Point-In-Time Recovery (PITR).

    E-commerce: GeminiDB Redis API enables users to store massive volumes of inventory product data and provides excellent reliability.

    Compatibility

    GeminiDB Redis API is compatible with Redis APIs and supports primary/standby and cluster architectures.

    GeminiDB Redis API is compatible with DynamoDB APIs.

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    GeminiDB Redis API
    Documents
    Data Characteristics

    Document type data, which is saved in a JSON-like format

    Boolean, numeric, string, date and time, array, object, and nested composite types

    High concurrency

    Frequent updates

    Application Scenarios

    Social networking: A huge amount of unstructured data is generated on social networking applications. GeminiDB MongoDB instances are great for storing a large amount of user information, such as user moments, and location data.

    IoT: GeminiDB Mongo API can handle high volumes of concurrent requests, for example, logs reported by smart devices.

    E-commerce: Order details, order status, and logistics information are stored in embedded arrays and continuously updated. All order changes can be read in one query. GeminiDB Mongo API is applicable to e-commerce orders, favorites, and shopping cart scenarios.

    Gaming: Data such as user information, player items, and bonus points is stored in embedded documents for fast query and update.

    Compatibility

    GeminiDB Mongo API is compatible with MongoDB APIs and supports replica sets.

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    GeminiDB Mongo API
    Wide Tables
    Data Characteristics

    Wide table model, column fields with scalability, and structured and semi-structured data

    Petabytes of data

    Application Scenarios

    Social networking: GeminiDB Cassandra API can store user data such as their followers, posts, and likes, and it can handle content distribution data for social networking applications. It can smoothly scale up to handle traffic surges when there are hot topics trending on applications such as Facebook, Discord, and MeeTime.

    IoT: GeminiDB Cassandra API handles concurrent writes of massive data generated by IoT devices, including data about logistics, wearables, and smart city monitoring.

    Data warehouse: GeminiDB Cassandra API can re-analyze massive data about advertisements, historical orders, feeds, messages, logs, and recommendations to form new user and behavior profiles.

    Compatibility

    GeminiDB Cassandra API is compatible with open-source Cassandra, with a development experience similar to that of MySQL and supporting cluster architectures.

    GeminiDB Cassandra API is compatible with open-source HBase (in OBT).

    GeminiDB Cassandra API is compatible with DynamoDB APIs and data can be imperceptibly migrated from DynamoDB to GeminiDB Cassandra API.

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    GeminiDB Cassandra API
    Time Series Data
    Data Characteristics

    Time series data with timestamps

    Simplified data types including boolean, int, string, and float

    A large volume of data which is mainly written and queried and seldom updated

    Stable data traffic without obvious fluctuations between peak and off-peak hours

    Structured data and data generated from a single data source

    Data which is stored by time and deleted upon expiration

    Application Scenarios

    IoV: information such as vehicle status, location, and battery status

    IoT: reported status data such as factory devices, terminals, and environments

    Application O&M and monitoring: CPU, memory, and disk usage of VMs and containers

    Business intelligence: aggregation calculating and analysis of data such as service records and user behaviors

    Compatibility

    GeminiDB Influx API is compatible with InfluxDB APIs and supports cluster architectures.

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    GeminiDB Influx API

    Continuous Innovation with Millions of Customers

    Continuous Innovation with Millions of Customers

    Wisedu Huawei Device Business Cloud Eye
    Wisedu Speeds Up Digital Transformation to Reduce Costs with GeminiDB

    Wisedu, a provider of higher education information services based in Nanjing, Jiangsu, China, migrated its core services to GeminiDB Redis API nearly a year ago. The services are stable, with an average service latency of less than 1 ms and a P99 latency of less than 2 ms. Efficiency of O&M and development have both increased.

    HUAWEI Tag Helps Easily Find Your Device with GeminiDB

    High I/O capabilities of GeminiDB Cassandra API provide massive data storage and can handle massive concurrent write requests, a good fit for HUAWEI Tag. GeminiDB Cassandra API allows you to deploy 10,000+ nodes for handling over 5 petabytes of data and 10+ million QPS with an average latency of 4 ms. All these features greatly improve the efficiency and user experience of HUAWEI Tag.

    Huawei Cloud Eye Monitors Over 10 Million Metrics with GeminiDB Influx API

    By using dedicated compression algorithms, GeminiDB Influx API reduces storage costs by 80% and increases the compression rate by over ten times. It enables 2x faster writes and reduces compute costs by 30% thanks to high-speed parallel write capabilities. With the help of GeminiDB Influx API, Cloud Eye monitors over 60 cloud services, serves 100,000 tenants, and provides more than 60 million metrics.

    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

    Documentation