Posts by this author
Getting Started with Graph on CosmosDB - Part 1
The property graph database space has been dominated by a handful of names who on balance are not that big in the software marketplace generally speaking.
Dave & Ted’s Excellent Traversal Adventure: Graph Databases & Gremlin Part 2
Dave and Ted discuss Graphday and their thoughts on DSE, Neo4j, Microsoft's CosmosDB, and JanusGraph.
With All of the Graph DB Options, Now is the Time to Learn Gremlin
DataStax released 5.1, Neo4j released 3.2, Microsoft announces CosmosDB; there’s a lot of stuff happening in the graph database world. Looks like a prime time for some Gremlin training.
Graph DB Shootout 2.0 Slides/Notes from DataDay Seattle
Josh Perryman visited the Northwest in July 2016 for DataDay Seattle and gave an updated version of my Graph Database Shootout.
Encore Graph DB Shootout Presentation for Austin Data Geeks
The Austin Data Geeks & Austin Graphs Meet-ups invited Josh Perryman to do an encore presentation of our GraphDay presentation: Graph Database Engine Shoot-out.
What’s New in Neo4j
Everyone gets delusions of grandeur!” That’s what Han Solo said after being frozen in carbonite. I’ve been solving data problems for customers the last year and a half and am now getting back in graph DBMSs. We took a nice look at Titan last week, can’t wait to play with that some more. I’m going to give a bit of the same to Neo4j. All of this as prep for my talk at GraphDay 2016 in Austin, TX.
Fitting the Data: AllegroGraph & SPARQL
Turning from the open-source Titan to the commercial AllegroGraph was like stepping out of my 1998 4Runner and taking a spin my boss’s BMW. It was fast. It was sleek. It had all of the modern thingamajiggies that come with new, well-engineered solutions built by companies with the resources to do it well.
Fitting the Data: Titan & Gremlin
In this third post we look at how the application’s graph data fit into another property graph database: Titan.
Fitting the Data: Neo4j & Cypher
In this second post we look at how the application’s graph data fit into a leading graph database: Neo4j. Quite well actually.
Fitting the Data: How NOT to do a Graph Database in SQL
We talk about data, and how several data concepts such as “Big Data” and “NoSQL” are currently in the vogue. But just as all politics is local, all data is ultimately specific to its own subject domain. Data is not all the same, and so we shouldn’t expect that the general data tools will be the best tools when working with any particular set of data. Choose the right tools with the best fit for your data and you’ll spend more time in analysis and realizing the value of your data, and less time working around the restrictions of your tools.