Halyard

Web · Mac · Linux · Self-hosted · API

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Freedom report

One barScore 5.3

Free tierNo free tier on record
Open codeNo open-source code on record
Runs widely3 of 6 device platforms
DocumentedThinly documented

Halyard is ranked #23 of 26 in RDF databases on Freedom251. It runs on API, Linux, macOS, Self-hosted, Web.

Compared on RDF databases

Deployment options: hybrid
SPARQL support: sparql 1.1
Federated queries: Yes
Supported RDF formats: N-Triples, RDF/XML, Turtle, N3, RDF/JSON, TriG, N-Quads, BinaryRDF, TriX, JSON-LD

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The record

Purpose: Halyard is a horizontally scalable RDF store with named graph support for storing and integrating large semantic data models and querying linked data snapshots with SPARQL 1.1.
Technology: Halyard is written in Java and built on Eclipse RDF4J and Apache HBase.
Deployment: The maker documents deployment on Amazon Elastic MapReduce or on an Apache Hadoop cluster node configured with an Apache HBase client.
Runtime requirements: The getting-started page lists Apache Hadoop 2.5.1 or later, Apache HBase 1.1.2 or later, and Java 8 Runtime as requirements.
Bulk loading: Halyard Bulk Load uses MapReduce to load RDF data from HDFS into HBase, and the documented input formats include Turtle, RDF/XML, N-Triples, TriG, N-Quads, and JSON-LD.
Querying: The included RDF4J Console can evaluate SPARQL queries and connect to local or remote repository endpoints.
Data management: Command-line tools support SPARQL Update, parallel bulk updates, export, and bulk deletion of triples or named graphs.
Statistics: Halyard Stats calculates dataset statistics and stores them in a named graph or exports them to a file.
Search integration: An optional supplementary Elasticsearch index can index dataset literals to provide more advanced text search features.
Endpoint: Halyard Endpoint is a command-line application for launching a SPARQL endpoint to serve queries.
Experimental feature: Halyard Summary is described as an experimental MapReduce application that calculates an approximate dataset summary and exports it to a file.
Not bundled: Apache Hadoop and Apache HBase components are not bundled with Halyard and must be available in the runtime environment.
Support: The home page links to documentation, open GitHub issues, a discussion group, and lists Adam Sotona as the author contact.
Product: Halyard is a horizontally scalable RDF store with named graph support, designed for very large semantic data models and SPARQL 1.1 queries over Linked Data snapshots.

Where it ranks on Freedom251

Best RDF Databases in 2026#23 of 26

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Sources

merck.github.io/Halyard/· checked 8 Oct 2026
merck.github.io/Halyard/getting-started.html· checked 8 Oct 2026
merck.github.io/Halyard/tools.html· checked 8 Oct 2026
merck.github.io/Halyard/usage.html· checked 8 Oct 2026