Apache HBase
E185676
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Apache HBase canonical | 8 |
| HBase | 3 |
| HBase Sink | 1 |
| RegionServer | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1647855 — 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.
Target entity: Apache HBase Context triple: [Hadoop, ecosystemIncludes, Apache HBase]
-
A.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
B.
Bigtable
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
-
C.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
D.
Cloud Spanner
Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.
-
E.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Apache HBase Target entity description: 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.
-
A.
Hadoop
Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
-
B.
Bigtable
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
-
C.
Amazon Redshift
Amazon Redshift is a fully managed, cloud-based data warehousing service from Amazon Web Services designed for fast querying and analysis of large datasets using SQL.
-
D.
Cloud Spanner
Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.
-
E.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Apache Software Foundation project
ⓘ
NoSQL database ⓘ column-oriented database ⓘ distributed database ⓘ open-source software ⓘ |
| dataModel |
cells
ⓘ
column families ⓘ rows ⓘ tables ⓘ |
| designedFor |
large datasets
ⓘ
real-time read access ⓘ real-time write access ⓘ |
| developer | Apache Software Foundation ⓘ |
| initialReleaseYear | 2008 ⓘ |
| inspiredBy |
Bigtable
ⓘ
surface form:
Google Bigtable
|
| integratesWith |
Apache Hive
ⓘ
MapReduce ⓘ
surface form:
Apache MapReduce
Apache Pig ⓘ Apache Spark ⓘ HDFS ⓘ
surface form:
Hadoop Distributed File System
|
| license | Apache License 2.0 ⓘ |
| partOf | Hadoop ecosystem ⓘ |
| primaryUseCase |
large-scale user data storage
ⓘ
log data storage ⓘ real-time analytics ⓘ time-series data storage ⓘ |
| programmingLanguage | Java ⓘ |
| runsOnTopOf |
Hadoop
ⓘ
surface form:
Apache Hadoop
|
| storesDataIn | HFiles ⓘ |
| supportsAPI |
Java API
ⓘ
REST API ⓘ Apache Thrift ⓘ
surface form:
Thrift API
|
| supportsFeature |
Bloom filters
ⓘ
automatic failover ⓘ automatic sharding ⓘ compression ⓘ coprocessors ⓘ fault tolerance ⓘ horizontal scalability ⓘ random real-time read/write access ⓘ region rebalancing ⓘ region splitting ⓘ schema-less design ⓘ strong consistency ⓘ versioned data storage ⓘ |
| supportsModel | wide-column store ⓘ |
| usesComponent |
HMaster
ⓘ
Apache HBase self-linksurface differs ⓘ
surface form:
RegionServer
Apache ZooKeeper ⓘ
surface form:
ZooKeeper
|
| website | https://hbase.apache.org/ ⓘ |
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.
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.
Subject: Apache HBase Description of subject: 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.
Referenced by (13)
Full triples — surface form annotated when it differs from this entity's canonical label.