HSQLDB supports different table engines, also known as storage engines or table types, which determine how data is stored and accessed within database tables. The main table engines supported by HSQLDB are:

Memory Table Engine :

* Memory tables store data entirely in memory (RAM).
* They offer extremely fast read and write access, making them ideal for temporary data, caching, and operations where speed is critical.
* Data in memory tables is not persistent and is lost when the database is shut down or restarted.

Cached Table Engine :

* Cached tables store data primarily in memory but use a cache file on disk to persist data between database sessions.
* They provide faster access compared to disk-based tables while still offering persistence across database restarts.
* Cached tables are suitable for applications that require fast data access and moderate data durability.
Text Table Engine :

* Text tables store data in plain text files using comma-separated values (CSV) or other delimited formats.
* They are suitable for simple data storage and exchange requirements, such as data migration, data interchange, and batch processing tasks.
* Text tables offer easy import/export capabilities and compatibility with external tools and systems.

Disk-Based Table Engine :

* Disk-based tables store data directly on disk, ensuring data durability and persistence even after the database is shut down or restarted.
* They are suitable for storing large datasets and long-term storage requirements.
* Disk-based tables offer slower access compared to memory and cached tables but provide better durability and reliability.

Each table engine in HSQLDB has its advantages and use cases. By supporting multiple table engines, HSQLDB offers flexibility in how data is stored and accessed, allowing developers to choose the most appropriate table engine based on their application's requirements, performance considerations, and data durability needs.