HBase vs MySQL: Key Differences

HBase and MySQL are two different types of database systems, with the following differences:

1. Data model:
2. MySQL is a relational database management system (RDBMS) that stores data in tables and rows and supports SQL query language.
3. HBase is a distributed database system focused on columns, storing data using key-value pairs, supporting large-scale data storage and real-time querying.
4. Storage method:
5. MySQL typically stores data on disk.
6. HBase typically utilizes HDFS (Hadoop Distributed File System) as its underlying storage.
7. Data processing:
8. MySQL is suitable for transaction processing and complex queries.
9. HBase is suitable for big data processing and real-time queries.
10. Scalability:
11. The scalability of MySQL is limited by the performance of a single server.
12. HBase can horizontally scale by adding more nodes, and it supports automatic data sharding and load balancing.
13. Data consistency
14. MySQL ensures strong consistency, meaning that all operations take effect immediately.
15. HBase offers eventual consistency, meaning there may be temporary data inconsistency within a certain period of time.

In general, MySQL is suitable for small-scale relational data storage and queries, while HBase is designed for large-scale distributed data storage and real-time querying. The choice of database depends on the specific application scenario and requirements.