HBase is suitable for storing and managing large-scale datasets, such as user data and log data in internet applications.
Real-time data analysis and processing: HBase supports real-time data read and write operations, making it suitable for scenarios that require real-time analysis and processing of data, such as real-time monitoring systems and real-time recommendation systems.
Storing and analyzing time series data: HBase is suitable for storing and analyzing time series data, such as sensor data and log data.
Cache and temporary storage of data: HBase can be used as a cache and temporary storage for data, enhancing data access speed and performance.
Multidimensional data analysis: HBase supports multidimensional data analysis, suitable for scenarios such as data analysis and mining.
Real-time search engine: HBase can serve as the storage engine for real-time search engine, supporting fast data retrieval and querying.
HBase can serve as the metadata storage for distributed systems, storing system configuration information, and status information.
Distributed log storage: HBase is suitable for storing log data from distributed systems, such as logs from distributed file systems and database transactions.
