ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real time.
KVDK (Key-Value Development Kit) is a key-value store library implemented in C++ language. It is designed for persistent memory and provides unified APIs for both volatile and persistent scenarios. It also demonstrates several optimization methods for high performance with persistent memory. Besides providing the basic APIs of key-value store, it offers several advanced features, like transaction, snapshot as well.
RedisModules ExecuteCommand for Windows 可在Windows下执行系统命令的Redis模块 。 可在Linux下执行系统命令的Redis模块在 快速开始 已经有编译好了的模块exp.dll，你也可以自行修改、编译，以下是可参考的的步骤： 用vs2017打开exp
Kvrocks is a distributed key value NoSQL database based on RocksDB and compatible with Redis protocol.
Kvrocks is a key-value NoSQL database based on RocksDB and compatible with Redis protocol.
A query and indexing engine for Redis, providing secondary indexing, full-text search, and aggregations.
FEDB is a NewSQL database optimised for realtime inference and decisioning applications. These applications put real-time features extracted from multiple time windows through a pre-trained model to evaluate new data to support decision making. Existing in-memory databases cost hundreds or even thousands of milliseconds so they cannot meet the requirements of inference and decisioning applications.
RocksDB is developed and maintained by Facebook Database Engineering Team. It is built on earlier work on LevelDB
The MongoDB Database
Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into meaningful and useful information.
Scylla is the real-time big data database that is API-compatible with Apache Cassandra and Amazon DynamoDB. Scylla embraces a shared-nothing approach that increases throughput and storage capacity to realize order-of-magnitude performance improvements and reduce hardware costs.