Merge pull request #298 from alessandroleite/master

Include a reference for the Oryx 2 project

README.md

@@ -188,6 +188,7 @@ A curated list of awesome Java frameworks, libraries and software.
 * [Apache Hive](https://hive.apache.org/) - Data warehouse infrastructure built on top of Hadoop.
 * [Apache Phoenix](http://phoenix.apache.org/) - High performance relational database layer over HBase for low latency applications.
 * [Crate](https://crate.io/) - Distributed data store that implements data synchronization, sharding, scaling, and replication. In addition, it provides a SQL-based syntax to execute queries across a cluster.
+* [eXist](https://github.com/eXist-db/exist) - A NoSQL document database and application platform.
 * [FlexyPool](https://github.com/vladmihalcea/flexy-pool) - Brings metrics and failover strategies to the most common connection pooling solutions.
 * [Flyway](http://flywaydb.org/) - Simple database migration tool.
 * [H2](http://h2database.com/) - Small SQL Database notable for its in-memory functionality.
@@ -409,6 +410,7 @@ A curated list of awesome Java frameworks, libraries and software.
 * [Deeplearning4j](http://deeplearning4j.org/) - Distributed and multi-threaded deep learning library.
 * [H2O](http://h2o.ai/) - Analytics engine for statistics over big data.
 * [JSAT](https://github.com/EdwardRaff/JSAT) - Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.
+* [Oryx 2](https://github.com/OryxProject/oryx) - A framework for building real-time large scale machine learning applications, which also includes end-to-end applications for collaborative filtering, classification, regression, and clustering.
 * [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Collection of algorithms for data mining tasks ranging from pre-processing to visualization.
 
 ## Messaging