graphdb: All content tagged as graphdb in NoSQL databases and polyglot persistence
Yesterday was the NoSQL Frankfurt conference and today we have the chance to review some of the slide decks presented.
Beyond NoSQL with MarkLogic and The Universal Index
The GraphDB Landscape and sones
Achim Friedland (@ahzf) has provided a very interesting overview of the graph databases products, the goals and some scenarios for graph databases, a brief comparison of property graphs with other models (relational databases, object-oriented, semantic web/RDF, and many other interesting aspects.
Data Modeling with Cassandra Column Families
Neo4j Spatial - GIS for the rest of us
Cassandra vs Redis
Tim Lossen (@tlossen) slides compare Cassandra and Redis from the perspective of a Facebook game requirements. All I can say is that the conclusion is definitely interesting, but you’ll have to check the slides by yourselves.
Mastering Massive Data Volumes with Hypertable
Doug Judd — who impressed me with his fantastic Hypertable: The Ultimate Scaling Machine at the Berlin Buzzwords NoSQL conference — gave a talk on Hypertable, its architecture and performance. The presentation also mentioned two Hypertable case studies: Zvents (an analytics platform) and Reddiff.com (spam classification)
More presentations will be added as I’m receiving them.
sones GraphDB available in the Microsoft cloud:
The sones GraphDB is the first graph database which is available on Microsoft Windows Azure. Since the sones GraphDB is written in C# and based upon Microsoft .NET it can run as an Azure Service in it’s natural environment. No Wrapping, no glue-code. It’s the performance and scalability a customer can get from a on-premise hosted solution paired with the elasticity of a cloud platform.
You can read a bit more about it ☞ here.
In case you’ve picked other graph database, you can probably set it up with one of the cloud providing Infrastructure-as-a-Service.
sones GraphDB available on Microsoft Windows Azure originally posted on the NoSQL blog: myNoSQL
Firstly announced just a bit over a month ago, InfiniteGraph, the graph database from Objectivity, has already reached the 1.0 release. At this time I don’t have yet the details of these release.
InfiniteGraph offers a 2-month free version to developers requiring afterwards a $999/year license. According to this comparison of NoSQL graph databases, I cannot say that’s the most “generous” offer in the graph database market.
sones the producer of a (until now) commercial closed source graph database has released recently its first open source version of GraphDB. This new version, GraphDB 1.1, is available under both a GNU AGPLv3 open source license and a proprietary commercial license.
GraphDB source code is already available on ☞ GitHub. Even if developed in C#, the GitHub project page contains clear instructions on how to built sones GraphDB for Linux and MacOS (requires Mono).
You can get a feel of how using sones GraphDB compares to other graph databases by looking at this example code implemented with sones GraphDB, InfoGrid, Neo4j, and Filament. And before downloading sones GraphDB 1.1, you should also check this useful GQL cheatsheet (the sones GraphDB query langauge) in PDF format:
Last, but not least, sones guys have started to publish ☞ a tutorial in the form of a series of articles that puts CrunchBase data to work in a graph database environment.
Time to hit the ☞ GitHub page and get sones GraphDB while it’s hot! Good move sones!
Update: In case you are wondering why having sones GraphDB open source version is not just cool, but really useful, here is a possible answer.
Until now, if you wanted to use a graph database, you only had one of these options
- use the Java VM as most of the other graph databases are developed in Java and supposed to run embedded
- use the Neo4j RESTful service (you can read more about it in our coverage of the Neo4j 1.0 release)
- use Twitter’s FlockDB, keeping in mind though that it is not a complete graph database
Now, sones GraphDB not only opens the doors to graph databases to .NET developers, but it also features a REST interface like Neo4j making it accessible to more programming environments.