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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services.
parse/generate json the way you want quickly. configure/validate json
- quick-json features -
# Compliant with JSON specification (RFC4627)
# High-Performance JSON parser
# Supports Flexible/Configurable parsing approach
# Configurable validation of key/value pairs of any JSON Heirarchy
# Easy to use # Very Less foot print
# Raises developer friendly and easy to trace exceptions
# Pluggable Custom Validation support - Keys/Values can be validated by configuring custom validators as and when encountered
# Validating and Non-Validating parser support
# Support for two types of configuration (JSON/XML) for using quick-json validating parser
# Require JDK 1.5 # No dependency on external libraries
# Support for Json Generation through object serialization
# Support for collection type selection during parsing process