hamsterdb is an ANSI C based database engine that supports a B+Tree index structure, memory-mapped I/O, and can create in-memory databases.
Hamsterdb is a powerful and versatile database engine that has been written in ANSI C. Its exceptional design and advanced technology make it a preferred option for developers looking to create fast and efficient database applications.
With hamsterdb, developers can take advantage of an impressive set of features and functionalities. In particular, hamsterdb supports a B+Tree index structure, one of the most commonly used data structures in database applications. This ensures optimal performance when it comes to accessing and retrieving data from the database.
To boost performance even further, hamsterdb uses memory mapped I/O, provided it is available, which is an efficient technique used for handling large datasets. This, too, helps speed up data access and retrieval, making the application incredibly fast and efficient.
Another notable feature of hamsterdb is its ability to create in-memory databases. This allows developers to store temporary data while optimizing memory usage. With in-memory databases, developers can enjoy faster access times and reduced latency when working with large datasets.
Overall, hamsterdb stands out as a reliable, robust, and efficient database engine that can benefit developers in numerous ways. Its support for the B+Tree index structure, memory mapped I/O, and in-memory databases make it an excellent option for anyone looking to improve performance, enhance scalability and manage and store large datasets with ease.
With hamsterdb, developers can take advantage of an impressive set of features and functionalities. In particular, hamsterdb supports a B+Tree index structure, one of the most commonly used data structures in database applications. This ensures optimal performance when it comes to accessing and retrieving data from the database.
To boost performance even further, hamsterdb uses memory mapped I/O, provided it is available, which is an efficient technique used for handling large datasets. This, too, helps speed up data access and retrieval, making the application incredibly fast and efficient.
Another notable feature of hamsterdb is its ability to create in-memory databases. This allows developers to store temporary data while optimizing memory usage. With in-memory databases, developers can enjoy faster access times and reduced latency when working with large datasets.
Overall, hamsterdb stands out as a reliable, robust, and efficient database engine that can benefit developers in numerous ways. Its support for the B+Tree index structure, memory mapped I/O, and in-memory databases make it an excellent option for anyone looking to improve performance, enhance scalability and manage and store large datasets with ease.
What's New
Version 1.0.9: N/A