Dex: All content tagged as Dex in NoSQL databases and polyglot persistence
The main page of InfiniteGraph, a graph database commercialized by Objectivity, features an interesting comparison of 7 graph databases (InfiniteGraph, Neo4j, AllegroGraph, Titan, FlockDB, Dex, OrientDB) based on 16 criteria: licensing, source, scalability, graph model, schema model, API, query method, platforms, consistency, concurrency (distributed processing), partitioning, extensibility, visualizing tools, storage back end/persistency, language, backup/restore.
Unfortunately the image is almost unreadable, but Peter Karussell has extracted the data in a GoogleDoc spreadsheet embedded below.
Two new releases in the graph databases space:
DEX Graph Database 4.5
The new DEX Graph Database release comes with pre-packaged graph algorithms—breadth and depth first traversal, shortest path, Gabow connectivity—available for Java, .NET, and C++. You can get the new version from here.
Neo4j 1.7 Milestone 1
As per Neo4j 1.7 milestone 1 update, this version features:
- improved Cypher
- SSL support
- improved Neo4j documentation
- high availability improvements (nb: there are recommended maintenance releases for Neo4j 1.5 and 1.6)
- upgraded Blueprints and Gremlin support
You can get Neo4j 1.7 from here.
Original title and link: Graph Databases Updates: DEX Graph Database 4.5 and Neo4j 1.7 Milestone 1 ( ©myNoSQL)
A nice intro to Gremlin, the Groovy-based graph traversal language supporting Neo4j, OrientDB, DEX, RDF Sail, TinkerGraph, and ReXster:
Original title and link: An Intro to Gremlin the Graph Traversal Language ( ©myNoSQL)
Pere Urbón-Bayes must check slides deck on graph databases and their applicability. I like this graph database products slide most:
- Neo4j: open source database NoSQL graph
- Dex: the high performance graph database
- HyperGraphDB: an IA and semantic web graph database
- Infogrid: the Internet graph database
- Sones: SaaS dot Net graph database
- VertexDB: high performance database server
By the way I’ve heard Pere (@purbon) is currently looking for a job ;-).
After triggering our quick review of graph databases, Pere Urbón came up with a nice comparison of these — Neo4j, HyperGraphDB, DEX, InfoGrid, Sones, VertexDB — in terms of License, Schema, Querying, Storage implementation, Utilities, Language and Operating system support.
Pere has made this very interesting NoSQL graph database matrix available as a ☞ PDF on his blog.
Pere Urbón ☞ published a short review of a couple of existing graph databases. For your reference, below are the ones reviewed in the post and a couple more that we’ve previously mentioned here on myNoSQL:
☞ Neo4j is an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables.
☞ DEX is a high performance library to manage very large graphs or networks
☞ HyperGraphDB: a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism.
☞ InfoGrid: an Internet Graph Database with a many additional software components that make the development of REST-ful web applications on a graph foundation easy.
☞ vertexdb: a high performance graph database server that supports automatic garbage collection.
Note: by checking the project homepage I cannot tell if the project is still active or not.
☞ AllegroGraph RDFStore: a modern, high-performance, persistent RDF graph database.
Note: AllegroGraph seems to be positioned in the RDF stores space, which features some other solutions too.
☞ Filament: a graph persistence framework and associated toolkits based on a navigational query style.
☞ Sones GraphDS provides an inherent support for high-level data abstraction concepts (graph structures, walks, consistency, editions, revisions, copies), its own Graph Query Language, an underlying distributed file system and various interfaces like SOAP, REST or WebDAV.
And I’m not sure these are all …
Update: make sure you check the NoSQL Graph Database Matrix