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Halyard

Free#15 of 26 in RDF Databases

Halyard: A Hadoop- and HBase-oriented RDF store for distributed semantic data workloads. Ranked #15 of 26 in RDF Databases by our editors (7.7/10); pricing: Open source; best for horizontally scalable RDF on Hadoop or HBase.

7.7/10Editor score
Halyard7.7 Visit Halyard

At a glance

  • Editor score
    7.7 / 10
  • Pricing
    Open source
  • Best for
    Horizontally scalable RDF on Hadoop or HBase
  • Paid from
    Free
  • Deployment options
    Hybrid
  • Facts checked
    21 Sep 2026
Halyard screenshot
  • Where it wins

    • Apache HBase-backed storage supports horizontal RDF scaling
    • SPARQL 1.1, named graphs, federation, and REST APIs
    • Bulk loading and parallel export use Hadoop MapReduce tools
  • Where it doesn't

    • Requires teams comfortable operating Hadoop and HBase infrastructure
    • Documentation appears substantially dated
    • Elasticsearch indexing and search are optional rather than core

Our verdict on Halyard

Halyard is an open-source RDF triplestore built for very large semantic data models and Linked Data snapshots. It stores RDF datasets in Apache HBase and is aimed at teams already operating Hadoop or HBase infrastructure, including deployments on Amazon EMR. Its web, Linux, macOS, API, and self-hosted access options support both service-based and command-line workflows.

Its ecosystem fit is a central strength. Halyard connects Apache HBase storage with Apache Hadoop processing, Eclipse RDF4J services, Amazon EMR deployments, and optional Elasticsearch literal indexing and search. RDF4J Server provides a SPARQL endpoint and REST APIs, while RDF4J Workbench supplies a web interface. The platform supports SPARQL 1.1 querying and updates, named graphs, federated queries across Halyard datasets through SPARQL SERVICE, and a broad set of RDF formats including Turtle, RDF/XML, N-Triples, TriG, N-Quads, JSON-LD, and others.

Halyard is more focused than a general-purpose RDF database: its architecture and operational model center on distributed Hadoop and HBase environments. Bulk loading and parallel export through Hadoop MapReduce tools make it suitable for large ingestion and movement workflows, while optional Elasticsearch support adds a separate path for literal search. Teams seeking a tightly integrated Hadoop/HBase RDF stack should consider Halyard; teams wanting a simpler deployment model or a narrower standalone triplestore are likely to prefer an alternative. The substantially dated documentation also makes current implementation planning an important consideration.

Your product? Our editors can test Halyard in depth and publish a review, labelled as paid · from $149/mo →

Halyard pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on merck.github.io

Halyard fact sheet

Free planNot verified
Paid fromFree
Deployment optionsHybrid
SPARQL supportSparql 1.1
Reasoning supportNot verified
RDF-star supportNot verified
Federated queriesYes
Supported RDF formatsN-Triples, RDF/XML, Turtle, N3, RDF/JSON, TriG, N-Quads, BinaryRDF, TriX, JSON-LD
DeploymentCloud, Self-hosted
PlatformsWeb, Linux, macOS
SupportCommunity, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations5 integrations: Apache HBase, Apache Hadoop, Eclipse RDF4J, Amazon EMR, Elasticsearch
PricingOpen source
Websitemerck.github.io
Facts checked21 Sep 2026

Halyard integrations

Halyard lists 5 integrations on its own site.

  • Apache HBase
  • Apache Hadoop
  • Eclipse RDF4J
  • Amazon EMR
  • Elasticsearch

Alternatives to Halyard

See all Halyard alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Halyard 7.7/10

Halyard is listed in our RDF Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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