Displaying 1 to 6 from 6 results

RocksDB - A persistent key-value store for fast storage environments


RocksDB is an embeddable persistent key-value store for fast storage. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation. It is especially suited for storing data on flash drives. It has multi-threaded compactions, making it specially suitable for storing multiple terabytes of data in a single database.

HyperSQL - Java Database


HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes. It is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2008. It alsi supports transaction isolation, multiversion concurrency and ACID, Java stored procedures, Scalability and lot more.

UnQLite - An Embeddable NoSQL Database Engine


UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database as well a standard Key/Value store. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.

Leveldb - A fast and lightweight key/value database library by Google.


LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. It supports basic operations like Put(key,value), Get(key), Delete(key). Only a single process (possibly multi-threaded) can access a particular database at a time.

OstrivDB


OstrivDB is an embedded NoSQL database engine.

BangDB - NoSQL for Real Time Performance


Bangdb is pure vanilla key value nosql data store. The goal of bangdb is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications. Bangdb comes in flavors like Embedded In memory, Network, Distributed data grid/ Elastic Cache. The bangdb is highly concurrent and runs parallel operations as much as possible.