Database Comparison

Each of databases offers unique features and capabilities, catering to different use cases and requirements. libmdbx is best suited for embedded applications requiring fast, reliable storage, RocksDB is optimized for handling large datasets and providing high throughput in server-side environments, and ScyllaDB is designed for high-performance, distributed NoSQL databases that require scalability and low latency. The choice between libmdbx, RocksDB, and ScyllaDB would depend on the specific needs of the application, including the expected data volume, required throughput, and the complexity of the data model.

libmdbx

• Purpose: libmdbx is an embeddable key-value database library. It's designed for applications that require fast, reliable, and ACID-compliant storage. It's particularly well-suited for scenarios where the database fits entirely in memory, offering high performance and low latency.

• Performance: libmdbx has shown to be 10-20% faster than LMDB in in-tmpfs scenarios, and up to 30% faster when compiled with specific build options. It supports keys up to 2022 bytes and values up to 32742 bytes for 64K page size, addressing limitations found in LMDB.

• Use Cases: Ideal for applications that can benefit from an embeddable, fast, and reliable database solution, especially those that operate in-memory or with datasets that fit within the system's memory constraints.

RocksDB

• Purpose: RocksDB is a high-performance embedded database for key-value data, developed by Facebook. It's optimized for fast storage and designed to handle large datasets, offering features like data compression and a flexible storage engine.

• Performance: RocksDB has been benchmarked to outperform LevelDB for server-side workloads on Flash storage, providing better performance for databases that are significantly larger than main memory. It's particularly suited for use cases that require high throughput and efficient storage of large datasets.

• Use Cases: RocksDB is widely used in production environments, including by Facebook for its user production database. It's a popular choice for applications that require fast, scalable storage solutions, especially in environments where data is stored on flash storage.

ScyllaDB

• Purpose: ScyllaDB is a high-performance, distributed NoSQL database designed for applications that require high throughput and predictable low latency. It's built to handle data-intensive applications, offering close-to-the-metal architecture for handling millions of operations per second (OPS).

• Performance: ScyllaDB has demonstrated significant performance improvements over traditional NoSQL databases like Cassandra, outperforming Cassandra by factors of 2.3 to 5.1 in various workloads. It's optimized for high throughput and low latency, making it suitable for applications that require fast data access and processing.

• Use Cases: ScyllaDB is ideal for data-intensive applications, including those that operate at scale and require high availability, fault tolerance, and scalability. It's particularly well-suited for use cases that involve handling large volumes of data across distributed systems.