TinyDB is not designed to be thread-safe, meaning it does not support concurrent access from multiple threads without additional synchronization mechanisms. While you can technically use TinyDB in a multi-threaded environment, you need to ensure proper synchronization to prevent race conditions and data corruption.

Here are some considerations for using TinyDB in a multi-threaded environment :

Use Locking Mechanisms : Implement locking mechanisms such as mutexes or locks to ensure that only one thread accesses the TinyDB instance or performs database operations at a time. This prevents concurrent access and ensures data consistency.

Thread-local Instances : Consider using thread-local instances of TinyDB if each thread needs its own database instance. Thread-local storage ensures that each thread accesses its own isolated database instance, reducing the risk of data corruption due to concurrent access.

Database Connection Pooling : If you have multiple threads accessing the same database instance, consider using a connection pooling mechanism to manage database connections. Connection pooling can help control the number of concurrent connections and reduce contention for resources.
Serialization : Serialize access to the TinyDB instance or database operations to ensure that only one thread performs database operations at a time. This can be achieved using synchronization primitives such as locks or semaphores.

Avoid Shared State : Minimize shared mutable state between threads when using TinyDB. Design your application to minimize dependencies on shared data to reduce the complexity of synchronization and mitigate the risk of race conditions.

Testing and Validation : Thoroughly test your multi-threaded application with TinyDB to identify and address any concurrency issues or race conditions. Use techniques such as stress testing and code reviews to validate the correctness and reliability of your synchronization mechanisms.