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Apache Rya

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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.

The record

This is what the machine sees: the exact JSON-LD an agent receives for this listing.

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  "dateModified": "2026-08-27T03:10:34Z",
  "description": "Apache Rya is an open source scalable RDF triple store that uses distributed storage to support SPARQL-based semantic data querying.",
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What we add

Topic graph

A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.

Storage https://decisioninsights.ai/term/sd-storage/ Components https://decisioninsights.ai/term/components/ Datasets https://decisioninsights.ai/term/datasets/ and 4 more

Counted facts

A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.

Related projects Apache Jena, Apache Commons RDF, Apache Ratis, Apache HBase, Apache Aries, Apache Hadoop, Apache REEF, Apache SDAP Related organizations TripleBit, SPDX, Inkscape, Astera Labs, CERN, Micron Technology Inc, Nexla, ClearML