GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
GhostDB is designed to speed up dynamic database or API driven websites by storing data in RAM in order to reduce the number of times an external data source such as a database or API must be read. GhostDB provides a very large hash table that is distributed across multiple machines and stores large numbers of key-value pairs within the hash table.
GhostDB was a university project - it is not fully featured but we're getting there!
This is a high-level roadmap of what we want GhostDB to become by the end of 2020. If you have any feature requests please create one from the template and label it as
- First hand support for list, set, stack and queue data structures
- Atomic command queues
- Subscribable streams
- Monitoring & administration dashboard
- Enhanced security features
- Transition to TCP sockets as transport protocol
- Support for a wide range of programming languages
To install GhostDB please consult the installation guide for a quick walkthrough on setting up the system.
To configure a GhostDB cluster please follow the instructions in the configuration guide
- Github: @nohclu
Show your support