GeminiDB Cassandra API

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Compatibility With Multiple APIs

Full compatibility with the Cassandra and DynamoDB APIs, drivers, and development tools

Excellent Performance

It addresses long tail latency and provides capabilities such as inverted indexing and multi-dimensional query

Reliability

Strong enterprise-class data consistency, fault reconstruction, and backup and restoration

Easy Management

Fully managed instances, allowing for operations on instances on the console with just a few clicks

Comprehensive Solutions

灵活完善的解决方案满足多行业需求

Social Networking
Scenario Description
In social networking scenarios, GeminiDB Cassandra API is often used to store operations such as following, posting, and liking. Smooth scaling can quickly handle traffic surges of hot topics.
Advantages
High-concurrency write

High write performance makes it easy to handle a large volume of data. The storage engine based on the LSM tree is a great fit for write-intensive scenarios.

Scaling in minutes

Scaling operations can be completed in minutes, so you can respond quickly to sudden traffic bursts.

IoT
Scenario Description
GeminiDB Cassandra API can support highly concurrent writes of massive data generated by IoT devices, including data for meteorology, smart city monitoring, and wearable devices.
Advantages
High performance

With a cloud-native distributed architecture and a storage engine based on the LSM tree, GeminiDB can process highly concurrent writes of massive data. The design of partitioning and sorting keys makes it easy to query IoT data of the TIME type, giving you high query performance and low latency.

High data reliability

There are three data copies, ensuring data security and integrity.

Large capacity

Petabytes of data can be stored. Storage scaling can complete within seconds and is transparent to applications.

Data Warehouse
Scenario Description
GeminiDB Cassandra API can serve as a service database or a data analytics platform. It can analyze massive advertising data, historical orders, feeds, messages, logs, and recommendations to form new user and behavior profiles.
Advantages
Storage for massive data and high performance

A cloud-native architecture can store massive data, allowing you to scale out compute and storage resources separately. Ultra-high write performance enables you to quickly create data warehouses on demand.

High availability and easy maintenance

Multi-AZ deployment provides high availability, so a cluster can still work once one of its nodes becomes faulty. Visual monitoring and alarm reporting help you keep always aware of your workload status, making O&M easy.

Documentation

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More GeminiDB APIs

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