GraphDB: All content tagged as GraphDB in NoSQL databases and polyglot persistence
Last week I spend some time on implementing the Blueprints interface on top of Datomic. The RDF and SPARQL feel of the Datomic data model and query approach makes it a good target for implementing a property graph. I finished the implementation and all unit tests are passing. Now, what makes it really cool is that it is the only distributed “temporal” graph database that I’m aware of. It allows to perform queries against a version of the graph in the past.
This is the first solution I’m reading about addressing the time dimension in a graph model.
Original title and link: Distributed Temporal Graph Database Using Datomic ( ©myNoSQL)
Couple of things I don’t see mentioned in the RedMonk post:
if and how data has been normalized based on each connector availability
According to the post data has been collected between Jan.2011-Mar.2012 and I think that not all connectors have been available since the beginning of the period.
if and how marketing pushes for each connectors have been weighed in
Announcing the Hadoop connector at an event with 2000 attendees or the MongoDB connector at an event with 800 attendeed could definitely influence the results (nb: keep in mind that the largest number is less than 7000, thus 200-500 downloads triggered by such an event have a significant impact)
Redis and VoltDB are mostly OLTP only databases
Original title and link: NoSQL Databases Adoption in Numbers ( ©myNoSQL)
I’m no lawyer but I think this means you can use Sones GraphDB without having to open source your product even if commercial. And because the way you interact with Sones GraphDB is through its connectors it doesn’t matter anymore what the core graph database license is.
According to TechCrunch Europe, Sones, producers of the GraphDB graph database, has hired a new CEO to focus on increasing sales and expanding their partner programs. This only weeks after Sones has announced a new round of funding.
I think I’ve already said it a couple of times: competition on the graph database segment of the NoSQL market is getting more interesting by the day.
Original title and link: Sones Hires New CEO to Increase Sales and Expand Partner Program (NoSQL databases © 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 ;-).
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.