From the webpage:
Blueprints is an open-source property graph model interface useful for writing applications on top of a graph database. Gremlin is a domain specific language for traversing property graphs that comes with an excellent REPL useful for interacting with a Blueprints database. Rexster exposes a Blueprints database as a web service and comes with a web-based workbench application called DogHouse.
To get started with bigdata via Blueprints, Gremlin, and Rexster, start by getting your bigdata server running per the instructions here.
Then, go and download some sample GraphML data. The Tinkerpop Property Graph is a good starting point.
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Just in case you aren’t familiar with bigdata(R):
bigdata(R) is a scale-out storage and computing fabric supporting optional transactions, very high concurrency, and very high aggregate IO rates. The bigdata RDF/graph database can load 1B edges in under one hour on a 15 node cluster. Bigdata operates in both a single machine mode (Journal), highly available replication cluster mode (HAJournalServer), and a horizontally sharded cluster mode (BigdataFederation). The Journal provides fast scalable ACID indexed storage for very large data sets, up to 50 billion edges. The HAJournalServer adds replication, online backup, horizontal scaling of query, and high availability. The federation provides fast scalable shard-wise parallel indexed storage using dynamic sharding and shard-wise ACID updates and incremental cluster size growth. Both platforms support fully concurrent readers with snapshot isolation. (http://sourceforge.net/projects/bigdata/)
So, this is a major event for Blueprints.
I first saw this in a tweet by Marko A. Rodriguez.