What are the use cases of HBase?

HBase is an open-source, distributed, column-oriented database primarily used for storing large-scale structured data. Here are some typical applications of HBase:

1. Log processing: HBase is ideal for storing and analyzing large amounts of log data, such as network logs, server logs, etc. Its speed and scalability make it the perfect choice for handling real-time log data.
2. Real-time analysis: HBase can be used for storing and querying real-time analysis data, such as website user activity data, e-commerce transaction data, etc. The high performance and near-real-time query capability of HBase make it an excellent tool for handling real-time analysis.
3. HBase is ideal for storing and querying large-scale time series data such as sensor data and monitoring data due to its column families and version control capabilities, allowing for efficient storage and retrieval of time series data.
4. Social network data storage: HBase can be utilized to store and query large-scale social network data, such as user relationship graphs and user behavior data. Its high scalability and flexible data model enable it to store and process complex social network data.
5. HBase is ideal for storing and querying large-scale machine learning data such as training data and feature vectors, thanks to its high performance and scalability.

In conclusion, HBase is suitable for storing and querying large-scale structured data, especially for scenarios that require real-time reading and writing, as well as near real-time analysis.