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 2.0
Research Lines:
Contact:
support-dataclay [at] bsc [dot] es
Software Cost:
Open source (distributed under BSD License 2.0)
Primary tabs
To deploy see Chapter 7 in the user manual.
New features
Support for Java 11
Federation of dataClay instances
Support for ARM 32-bit architecture
Configurable reverse proxy in communications between dataClay instances
Secure TLS client-server communications
Mixins in Python
Support to AspectJ
Configurable tracing
Improvements
Bootstrap performance
Performance in inter-service communications
Management of in-memory objects in memory intensive Python applications
Metadata caching mechanisms in the Python Execution Environment
Docker infrastructure and Docker images: health check, minimization of ports exposed, reduced container size
Easier deployment
New deployable demos and updated examples
Bug fixes