Hive Metastore
E705292
Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hive Metastore canonical | 2 |
| Apache Hive metastore | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7985655 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hive Metastore Context triple: [Apache Hive, usesComponent, Hive Metastore]
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
C.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
D.
Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
-
E.
Apache Oozie
Apache Oozie is a workflow scheduler system designed to manage and coordinate Hadoop jobs such as MapReduce, Pig, and Hive in complex data processing pipelines.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hive Metastore Target entity description: Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
-
A.
Apache Hive
Apache Hive is a data warehouse and SQL-like query system built on top of Hadoop for managing and analyzing large datasets stored in distributed storage.
-
B.
Apache HBase
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets, typically running on top of the Hadoop ecosystem.
-
C.
HDFS
HDFS (Hadoop Distributed File System) is a fault-tolerant, distributed file system designed to store and manage large volumes of data across clusters of commodity hardware.
-
D.
Greenplum
Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
-
E.
Apache Tez
Apache Tez is a distributed data processing framework designed for building high-performance batch and interactive data workflows on Hadoop.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
central metadata store
ⓘ
component of Apache Hive ⓘ metadata repository service ⓘ |
| category |
big data infrastructure component
ⓘ
data warehousing component ⓘ |
| commonlyBackedBy |
Derby
ⓘ
MySQL ⓘ Oracle Database ⓘ PostgreSQL ⓘ |
| componentType |
client library
ⓘ
server ⓘ |
| enables |
logical view of data stored in HDFS
ⓘ
schema-on-read ⓘ |
| exposes |
Thrift API
ⓘ
linked to:
Apache Thrift
|
| implementedAs | Thrift service ⓘ |
| integratesWith |
HDFS
ⓘ
Hadoop ecosystem ⓘ
linked to:
Hadoop
YARN-based processing engines ⓘ |
| manages |
access to metadata for multiple clients
ⓘ
database namespaces ⓘ table ownership information ⓘ |
| partOf | Apache Hive ⓘ |
| persists | metadata independently of compute engines ⓘ |
| requiredBy |
Hive CLI
ⓘ
HiveServer2 ⓘ |
| separates | metadata management from data storage ⓘ |
| stores |
SerDe information
ⓘ
column definitions ⓘ database definitions ⓘ partition metadata ⓘ partition statistics ⓘ storage format information ⓘ table definitions ⓘ table location information ⓘ table statistics ⓘ |
| supports |
Apache Hive
ⓘ
Impala ⓘ Presto ⓘ Spark SQL ⓘ
linked to:
Spark SQL engine
Trino ⓘ |
| supportsFeature |
ACID tables (in newer Hive versions)
ⓘ
transactions (in newer Hive versions) ⓘ |
| typicallyBackedBy | relational database ⓘ |
| usedFor |
managing metadata for data warehousing systems
ⓘ
storing schema metadata ⓘ storing table metadata ⓘ supporting SQL-like queries on distributed storage ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Hive Metastore Description of subject: Hive Metastore is a central metadata repository service that stores and manages schema and table information for data warehousing systems like Apache Hive.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.