dataClay is a distributed data store that enables applications to store and access objects in the same format they have in memory, and executes object methods within the data store. These two main features accelerate both the development of applications and their execution.
Stable release: dataClay 2.7 (June 2022)
Research Lines:
Contact:
support-dataclay [at] bsc [dot] es
Software Cost:
Open source (distributed under BSD License 2.0)
Primary tabs
New features
Support for Python 3.10.
Support for placing numpy array structures into Non-Volatile Memory devices.
Graph-based reference management to improve performance, resource consumption, and remove race conditions.
Configurable pickle protocol version for serialization of objects in Python.
Improvements
Updated dependency versions
Optimizations in caching
Improvements and optimizations in the export of objects via MQTT
Other minor optimizations and bug fixes