Do Graph Databases Scale? Yes? No? Let’s see!

00cluster, General, Graphs, Performance

Graph Databases are a great solution for many modern use cases: Fraud Detection, Knowledge Graphs, Asset Management, Recommendation Engines, IoT, Permission Management … you name it. 

All such projects benefit from a database technology capable of analyzing highly connected data points and their relations fast – Graph databases are designed for these tasks.

But the nature of graph data poses challenges when it comes to *buzzword alert* scalability. So why is this, and are graph databases capable of scaling? Let’s see…

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Red Hat Certifies ArangoDB Kubernetes Operator

10Graphs, Kubernetes

Hi all!

I think this year has thrown us for quite a loop, full of unexpected occurrences, both joyous and difficult. With everything going on in the world at the moment, we feel it’s more important than ever to celebrate what you can .

So with that, just a quick note from us that our Kubernetes Operator has achieved Red Hat OpenShift Operator Certification. And as far as we can tell, this means we are the first graph database to reach full certification for Red Hat OpenShift. Huzzah!

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AWS Neptune: A New Vertex in the Graph World — But Where’s the Edge?

14cluster, General, Graphs, Performance

At AWS Re:Invent just a few days ago, Andy Jassy, the CEO of AWS, unveiled their newest database product offerings: AWS Neptune. It’s a fully managed, graph database which is capable of storing RDF and property graphs. It allows developers access to data via SPARQL or java-based TinkerPop Gremlin. As versatile and as good as this may sound, one has to wonder if another graph database will solve a key problem in modern application development and give Amazon an edge over its competition. Read More

From Zero to Advanced Graph Query Knowledge with ArangoDB

10General, Graphs, Query LanguageTags: , ,

Thinking about your data as a highly connected set of information is a powerful way to gain insights, solve problems and bring products faster into the hands of your users.

Unlike other databases, relationships take the first priority in graph databases and with ArangoDBs multi-model approach for graphs, documents and key/value pairs you can even switch between models or combine them in a single query.

The graph concept is booming but still new to many. So we invested a few bazillion coffees and some night shifts to come up with a good plan for a Graph Course:

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How to model customer surveys in a graph database

12Foxx, General, GraphsTags: ,

Use-Case

The graph database use-case we are stepping through in this post is the following: In our web application we have several places where a user is led through a survey, where she decides on details for one of our products. Some of the options within the survey depend on previous decisions and some are independent.

Examples:

  • Configure a new car
  • Configure a new laptop
  • Book extras with your flight (meal, reserve seat etc.)
  • Configure a new complete kitchen
  • Collect customer feedback via logic-jump surveys

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Data Modeling with Multi-Model Databases

13Graphs, PublicationTags:

Max published an article on O’Reilly Radar about the use case he presented on Strata+Hadoop World in London earlier this year.

Read how multi-model databases can be used in an aircraft fleet maintenance system by mixing different data models within the same data store. 20150612_arangodb-treeofitems-01

A query language like AQL can help to answer maintenance questions like:

  • What are all the parts in a given component?
  • Given a (broken) part, what is the smallest component of the aircraft that contains the part and for which there is a maintenance procedure?
  • Which parts of this aircraft need maintenance next week?

Read on: O’Reilly Radar – Data modeling with multi-model databases

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