Search Results for "ram"

...Powerful and fast full-text searching which works fine for small and big datasets. Columnar storage support via the Manticore Columnar Library for bigger datasets (much bigger than can fit in RAM). SQL-first: Manticore's native syntax is SQL. It speaks SQL over HTTP and uses the MySQL protocol (you can use your preferred MySQL client). JSON over HTTP: to provide a more programmatic way to manage your data and schemas, Manticore provides a HTTP JSON protocol. Written fully in C++: starts fast, doesn't take much RAM, and low-level optimizations provide good performance. ...

...RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters.

AvanceDB is a high-performance, in-memory database designed to accelerate SQL-based applications. It uses advanced caching techniques to reduce database latency and improve query execution speed, making it ideal for real-time analytics and transactional workloads.

C++ wrapper for SQLite that uses method names and behaves largely like mysql functions of PHP. Caches existing databases completely into RAM and overwrites update database upon objects' destruction.