Archive for the ‘AllegroGraph’ Category

Scalable Property and Hypergraphs in RDF

Wednesday, November 6th, 2013

From the description:

There is a misconception that Triple Stores are not ‘true’ graph databases because they supposedly do not support Property Graphs and Hypergraphs.

We will demonstrate that Property and Hypergraphs are not only natural to Triple Stores and RDF but allow for potentially even more powerful graph models than non-RDF approaches.

AllegroGraph defends their implementation of Triple Stores as both property and hypergraphs.

The second story (see also A Letter Regarding Native Graph Databases) I have heard in two days based upon an unnamed vendor trash talking other graph databases.

Are graph databases catching on enough for that kind of marketing effort?

BTW, AllegroGraph does have a Free Server Edition Download.

Limited to 5 million triples but that should capture your baseball card collection or home recipe book. 😉

XDGBench: 3rd party benchmark results against graph databases [some graph databases]

Tuesday, April 30th, 2013

XDGBench: 3rd party benchmark results against graph databases by Luca Garulli.

From the post:

Toyotaro Suzumura and Miyuru Dayarathna from the Department of Computer Science of the Tokyo Institute of Technology and IBM Research published an interesting research about a benchmark between Graph Databases in the Clouds called:

XGDBench: A Benchmarking Platform for Graph Stores in Exascale Clouds”

This research conducts a performance evaluation of four famous graph data stores AllegroGraph, Fuseki, Neo4j, an OrientDB using XGDBench on Tsubame 2.0 HPC cloud environment. XGDBench is an extension of famous Yahoo! Cloud Serving Benchmark (YCSB).

OrientDB is the faster Graph Database among the 4 products tested. In particular OrientDB is about 10x faster (!) than Neo4j in all the tests.

Look at the Presentation (25 slides) and Research PDF.

Researchers are free to pick any software packages for comparison but the selection here struck me as odd before reading a comment on the original post asking for ObjectivityDB be added to the comparison.

For that matter, where are GraphChi, Infinite Graph, Dex, Titan, FlockDB? Just to call a few of the other potential candidates out.

Will be interesting when a non-winner on such a benchmark cites it for the proposition that easy of use, reliability, lower TOC outweighs brute speed in a benchmark test.

A Comparison of 7 Graph Databases

Sunday, January 20th, 2013

A Comparison of 7 Graph Databases by Alex Popescu.

Alex links to a graphic from InfiniteGraph that compares Infinite Graph, Neo4j, AllegroGraph, Titan, FlockDB, Dex and OrientDB.

The graphic is nearly unreadable so Alex embeds and points to a GoogleDoc spreadsheet by Peter Karussell that you will find easier to view.

Thanks Alex and Peter!

MongoGraph One Ups MongoDB With Semantic Power (Humor)

Wednesday, January 11th, 2012

MongoGraph One Ups MongoDB With Semantic Power by Jennifer Zaino.

From the post:

But Franz Inc. proposes an alternative for those who want more sophisticated functionality: Use the semantic power of its AllegroGraph Web 3.0 database to deal with complicated queries, via MongoGraph, a MongoDB API to AllegroGraph technology.

So, MongoGraph “One Ups” MongoDB by copying their API?

If MongoDB is as difficult to use as the article implies, wouldn’t that copying be going the other way?

Heard of anyone copying the Franz API lately?

Certainly not MongoDB. 😉

PS: As MongoDB points out: http://www.mongodb.org/display/DOCS/MongoDB+Data+Modeling+and+Rails, there are things that MongoDB does better than others. (shrugs) That is true for all technologies. At least MongoDB is up front about it.

Trouble with 1 Trillion Triples?

Sunday, August 21st, 2011

Franz’s AllegroGraph® Sets New Record – 1 Trillion RDF Triples”

From the post:

OAKLAND, Calif. — August 16, 2011 — Franz Inc., a leading supplier of Graph Database technology, with critical support from Stillwater SuperComputing Inc. and Intel, today announced it has achieved its goal of being the first to load and query a NoSQL database with a trillion RDF statements. RDF (also known as triples or quads), the cornerstone of the Semantic Web, provides a more flexible way to represent data than relational database and is at the heart of the W3C push for the Semantic Web.

A trillion RDF Statements eclipses the current state of the art for the Semantic Web data management but is a primary interest for companies like Amdocs that use triples to represent real-time knowledge about telecom customers. Per-customer, Amdocs uses about 4,000 triples, so a large telecom like China Mobile would easily need 2 trillion triples to have detailed knowledge about each single customer.

Impressive milestone for a NoSQL solution and the Semantic Web.

The unanswered Semantic Web management question is:

What to do with inconsistent semantics spread over 1 trillion (or more) triples?

5 Graph Databases to Consider

Friday, April 22nd, 2011

5 Graph Databases to Consider

General overview of Neo4J, FlockDB, AllegroGraph, GraphDB, InfiniteGraph.