Studio Learns New Tricks
We’ve added three new language intelligence features to Stardog Studio to make it even easier for you to work with Stardog using GraphQL, SPARQL, and virtual graphs.
Property Graphs meet Stardog
You can attach properties to edges in your RDF graph with Stardog’s new edge property capability that bridges the gap between RDF graphs and property graphs.
Search in Studio
Sometimes you want to find something in your graph without writing a SPARQL query, and now Studio is here to help.
Visual Query Plans in Studio
We built a visual query plan interface to help you write better queries.
Learning SPARQL with Interactive Tutorials
We know SPARQL is unfamiliar to many new Stardog users, so we built live tutorials into Studio to help you learn the SPARQL syntax. Click on the new bookmark icon in the left navigation and select the SPARQL tutorial to get started.
Language Servers for Everybody
At Stardog, we’re all about making it easy to unify data. That’s why we’ve just open sourced a set of tools to make working with Stardog even easier than before.
Studio's Been Studious
We’ve just released a new version of our Stardog Studio IDE. Now we want to tell you all about it.
Avoidably Slow Queries
This is an appendix to 7 Steps to Fast SPARQL Queries.
7 Steps to Fast SPARQL Queries
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.
A Path of Our Own
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.
Extending the Solution
We’re extending Stardog’s knowledge graph capabilities to include arbitrary graph algorithms that aren’t easily expressed in SPARQL. But first we have to fix SPARQL solutions.
How to Read Stardog Query Plans
Our mission is to unify all enterprise data in a single, coherent graph managed by Stardog. Like many database systems Stardog answers queries in two major phases: determining the query plan and executing that plan to obtain answers from the data.