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Stardog Union

Company blog · stardog.com/blogdataprogramming

Stardog Union is the company blog at stardog.com, writing about data and programming. Since 2012, 15 different Hacker News readers have linked it 34 times, most often “Stardog 4: Polyglot Graph Database”. It is still writing: the last post was on 2026-10-28, and you can follow it by feed.

Visit the blog
34mentions?
15HN people?
2012–2024first – last linked?
Links on Hacker News per year · peak 6 in 2017

Too few sampled comments (13) to say how often HN recommends it.?

Why HN links it

HN readers mostly link stardog.com as a knowledge graph and triplestore product, usually pointing to its SPARQL tutorial or docs. The comments praise the product, not any writing on the site.

Summarised by Claude from a sample of 13 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Stardog makes your AI intelligent with a knowledge graph-powered semantic layer that unifies enterprise data and activates your existing stack for better AI.

Most-linked posts?

  1. Stardog 4: Polyglot Graph Database
    5 people · 13 mentions · first linked 2012-06-14
  2. The Enterprise Knowledge Graph Platform – Stardog
    4 people · 4 mentions · first linked 2019-03-18

What Hacker News says?

  1. The data is stored as a bunch of triples but it encodes a graph. You can use tools like sparql to query that graph. https://www.stardog.com/tutorials/sparql/

    Comment linking /tutorials/sparql/

    on “Abstract Wikipedia”
  2. Submitted Stardog 4: Polyglot Graph Database as a story · 14 points

    HN discussion
  3. Stardog | Machine Learning Software Engineer, Senior Distributed Database Engineer, Senior Front End Engineer | Arlington, VA, Boston, MA, or REMOTE | http://stardog.com Stardog is the world's leading Knowledge Graph platform for the Enterprise. It lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology. We're hiring: Machine Learning Software Engi…

    Comment linking /

    on “Ask HN: Who is hiring? (October 2017)”
  4. Submitted Trillion Edge Knowledge Graph as a story · 10 points

    HN discussion
  5. Stardog | Machine Learning Software Engineer, Senior Distributed Database Engineer, Senior Front End Engineer | Arlington, VA, Boston, MA, or REMOTE | http://stardog.com Stardog is the world's leading Knowledge Graph platform for the Enterprise. It lets you query, search, and analyze enterprise data, wherever it is, using scalable, cutting-edge Knowledge Graph technology. We're hiring: Machine Learning Software Engi…

    Comment linking /

    on “Ask HN: Who is hiring? (November 2017)”
  6. Submitted Stardog 4: Polyglot Graph Database as a story · 7 points

    HN discussion
  7. You might want to reach out to Al Baker or Kendall Clark at Stardog. Their product is more RDF centric than for generic graphs like Neo4j, but is in my opinion a much better product. They have a community version, and have open sourced several pieces, but it is commercial. https://www.stardog.com/docs/ If you want pure Open Source then Titan might be a good fit for Gitter. http://titan.thinkaurelius.com/

    Comment linking /docs/

    on “Gitter is open source”
  8. Submitted Chaos Testing Stardog Cluster for Fun and Profit as a story · 5 points

    HN discussion
  9. Stardog[0], a semantic/ontological[1] database, is probably best in class, and is closed source. Anyone interested in writing a open source triplestore, email me ;) [0] http://stardog.com/ [1] They've started calling it a graph database, though I think triplestore is the most correct name

    Comment linking /

    on “Apple Acquires FoundationDB”
  10. Submitted Startups should host LLMs on their own GPUs as a story · 2 points

    HN discussion
  11. The real NASA knowledge graph, with actual technical detail... https://www.stardog.com/categories/nasa/

    Comment linking /categories/nasa/

    on “Why Nasa Converted Its Lessons-Learned Database into a Knowledge Graph”
  12. Submitted The Enterprise Knowledge Graph Platform – Stardog as a story · 2 points

    HN discussion
  13. NASA has more than one Knowledge Graph. https://www.stardog.com/blog/nasas-knowledge-graph/

    Comment linking /blog/nasas-knowledge-graph/

    on “IKEA’s knowledge graph and why it has three layers”
  14. Submitted Stardog 3.1: Enterprise Graph Database as a story · 2 points

    HN discussion
  15. Take a look at Stardog. Should let you load in dbpedia on your laptop no problem. They have a free trial license. http://stardog.com/ Modern and simple to get started.

    Comment linking /

    on “How to Extract Data from Wikipedia and Wikidata”
  16. Submitted What is a Knowledge Graph? as a story · 1 points

    HN discussion
  17. I can only answer for one advantage I specifically know of regarding graph DB's over key value: dynamic, mergeable schemas which enforce data integrity WITHIN the database rather than with code on top of it. There are many, many people on HN who are much more knowledgeable than I am on graph DB's, and I sure as hell hope they answer on this question. I'm curious if this supports the RDF, OWL, and SPARQL standards? I…

    Comment linking /

    on “Titan: A Highly Scalable, Distributed Graph Database”
  18. Submitted Announcing Release of Stardog 5: World's Leading Knowledge Graph Platform as a story · 1 points

    HN discussion
  19. Datalog is awesome as is Logic Programming generally. It's not only useful in static program analysis but also in areas as diverse as synthetic biology and data integration. There's lots of datalog and similar technology in most Knowledge Graph platforms, too. For example, http://stardog.com/ .

    Comment linking /

    on “The Essence of Datalog (2018)”
  20. Unfortunately a lot of stuff going on in the RDF domain is behind firewalls so it's a bit hard to give a lot of details. But I can contribute some public and some private use-cases of where RDF is used: Refinitiv (formerly Thomson Reuters Financial and Risk) knowledge graph is built completely on the RDF stack: https://www.refinitiv.com/en/products/knowledge-graph-feed When I talked to them in late 2017, they told m…

    Comment linking /

    on “Apache Jena”
  21. If you need this sort of thing only embedded within a fast, scalable graph database, check out Stardog ( http://stardog.com/ ).

    Comment linking /

    on “CLIPS: A Tool for Building Expert Systems”
  22. Great news, I will. I guess that option wasn't obvious for me when I was looking over http://stardog.com/#plans

    Comment linking /

    on “Blazegraph 2.0 – GPU-accelerated distributed graph database”
  23. http://stardog.com/

    Comment linking /

    on “Blazegraph 2.0 – GPU-accelerated distributed graph database”
  24. Have you tried Stardog [1]? Stardog can handle billions of triples and the upload process is pretty painless. Disclaimer: I'm one of the developers of Stardog. [1] http://stardog.com/

    Comment linking /

    on “Feeding Graph databases – a third use-case for modern log management platforms”
  25. Happy Datomic user here – simple, flexible, powerful. I've recently heard good things about https://www.stardog.com/ which is a real triple store (Datomic adds a time dimension)

    Comment linking /

    on “Fabric – A simple triplestore written in Go”
  26. Stardog is a fast RDF graph database with datalog, description logic, and machine learning reasoners built-in. http://Stardog.com/

    Comment linking /

    on “Simple, pure, and total functional language that generalizes Datalog”
  27. That’s what Stardog is doing https://www.stardog.com/

    Comment linking /

    on “Prolog and Natural-Language Analysis (1987) [pdf]”
  28. https://www.stardog.com/blog/skathe-is-a-private-gpu-cloud/

    Comment linking /blog/skathe-is-a-private-gpu-cloud/

    on “We are self-hosting our GPUs”
  29. Well, I'm a vendor in the space so I like my implementation: http://stardog.com/ -- and yes we've "tried it" with 10s of billions of edges. Worst cases are prevented from DOSing by having query management features like auto-killing queries that run too long, etc.

    Comment linking /

    on “SWI-Prolog for the semantic web”
  30. RDF* or Edge Properties fixes this definitively and it's spread to most RDF systems. See http://stardog.com/docs/ for example.

    Comment linking /docs/

    on “Querying an RDF triplestore using SPARQL and Relational pipes”

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