Typical Application Scenarios
IoT
GeminiDB is compatible with Cassandra APIs. It can deliver high write performance and is designed for write-intensive scenarios, specifically applied in sectors like manufacturing, logistics, health care, real estate, energy production, and agriculture. It can process the data sent by different types of sensors for further analysis.
Advantages:
- High write performance: GeminiDB provides higher write performance than other NoSQL services.
- High scalability: Compute nodes can be added in minutes and storage can be scaled up in seconds to handle traffic surges or large write 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.
Advantages:
- High write performance: GeminiDB provides higher write performance than other NoSQL services.
- Big data analysis: GeminiDB can work with big data tools, such as Spark, to provide recommendations to your customers in real time.
Finance
With Spark′s big data analysis capabilities, GeminiDB helps companies in the finance sector build risk control systems and mitigate fraud.
Advantages:
Big data analysis: GeminiDB can work with tools like Spark to help you detect and prevent fraud in real time.
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