The Stardog Blog
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You want SPARQL queries in Stardog to be as fast as possible. And we know all the secrets. All you have to do is read.
We ❤️ Pivotal Cloud Foundry and now Stardog runs on it seamlessly.
Stardog 5 features an all-new virtual graph engine with lots of improvements. This post describes them and how they can help you build better knowledge graphs with Stardog.
Stardog 5 beta is out and ready to turn your data into an Enterprise Knowledge Graph.
Stardog needs a new low-level storage engine. You won’t believe what happened next.
We’re adding machine learning to Stardog to make your Knowledge Graph even smarter.
We’re prepping Stardog 5 beta for release. If data silos rule everything around you, then you need to build a Knowledge Graph with Stardog 5.
Stardog makes the Enterprise Knowledge Graph fast and easy. We’re going to build a Java app that talks to Stardog’s RDF graph database in 5 easy steps.
Stardog’s web team has been experimenting with the Serverless Framework to prototype a web app with a pure AWS infrastructure. Serverless is to apps what baskets are to eggs, basically.
Stardog is part of NASA’s mission to Mars and we couldn’t be prouder of that. In this post I’ll explain some of the how and the why.
Working with Stardog should be easy and fun, no matter what your tool chain looks like. So I’m building extensions in Visual Studio Code for Stardog, and I’m kinda lovin’ it.
We’re adding graph traversal to Stardog to support a broader range of graph queries and analysis. Now that we’ve figured out how to extend SPARQL solutions, we can more easily make Stardog traverse graphs to find paths and other relationships.