Apache Hive
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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": "2026-08-27T03:10:33Z",
"description": "Apache Hive is a data warehouse system providing SQL-like querying and metadata management for large datasets on distributed storage.",
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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.
Data Center https://decisioninsights.ai/term/data-center/
Storage https://decisioninsights.ai/term/sd-storage/
Datasets https://decisioninsights.ai/term/datasets/
and 5 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 HBase, Apache Hadoop, Apache Impala, Apache Pig, Apache Hudi, Apache Sqoop, Apache Phoenix, Hadoop Distributed File System (HDFS)
Related organizations Lustre, DoltHub, StarRocks, Qumulo, Quobyte, Mapr, Juicedata, Cloudera