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.
New release: dataClay 2.5 (November 2020)
Research Lines:
Contact:
support-dataclay [at] bsc [dot] es
Software Cost:
Open source (distributed under BSD License 2.0)
Primary tabs
New features
Importing data models from other dataClay instances
Support for interfaces in the definition of data models in Java
Python mixins for exporting objects via MQTT and Kafka in JSON format
Slim and alpine versions of docker images
Improvements
Faster serialization for numpy.ndarray
Smooth shutdown for docker environments
Additional option of configuration via environment variables
Simplified activation of logging
Bug fixes