wangdengke2
6ed7ea9dbd
Reviewed-by: Wagner, Fabian <fabian.wagner@t-systems.com> Co-authored-by: wangdengke2 <wangdengke2@huawei.com> Co-committed-by: wangdengke2 <wangdengke2@huawei.com>
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Typical Application Scenarios
IoT
GeminiDB is compatible with Cassandra. It is designed for write-intensive scenarios, specifically in manufacturing, logistics, health care, real estate, energy production, and agriculture sectors. It can process data from different types of sensors for further analysis.
Highlights
- High Write Performance: GeminiDB provides higher write performance than other NoSQL services.
- High Scalability: Compute nodes can be scaled in or out to flexibly cope with traffic surges or large writes loads at any time.
Internet
E-commerce and entertainment websites that include product catalogs, recommendations, and personalization engines use GeminiDB when they require fast reading and writing of data and high scalability. GeminiDB stores visitor activities, making it easy for analysis tools to access data fast and to generate recommendations.
Highlights
- High Write Performance: GeminiDB provides higher write performance than other NoSQL services.
- Big Data Analysis: GeminiDB can work with Spark to provide recommendations to your customers in real-time.
Finance
By leveraging big data analysis tools such as Spark, GeminiDB helps companies in the finance sector build risk control systems and mitigate fraud.
Highlights
Big Data Analysis: Spark and other big data processing technologies enable real-time fraud detection and prevention.
Securities and Cryptocurrency Transactions
GeminiDB Influx API stores user bank statements and builds an anti-fraud system for the financial industry.
Highlights
- Efficient query: GeminiDB Influx instances are deployed nearby, so they can quickly address queries.
- Real-time analysis: Series data can be synchronized to the cloud and can be analyzed in real time.
Real-Time Monitoring of Hardware and Software
GeminiDB Influx API stores user behavior data, accelerating user profiling and precision marketing.
Highlights
- GeminiDB Influx API handles trillions of data points per day and supports multi-node and multi-thread parallel queries.
- Real-time analysis: Series data can be synchronized to the cloud and can be analyzed in real time.
Environmental Protection Industry
GeminiDB Influx API supports writes of massive amounts of time series data, stable and reliable for environmental protection data collection.
Highlights
Efficient write and query: Vectorized query engines and efficient time series data query operators such as aggregation and convolution can process enormous concurrent writes and queries.