Bigtable
E184216
Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
All labels observed (7)
| Label | Occurrences |
|---|---|
| Bigtable canonical | 6 |
| Bigtable: A Distributed Storage System for Structured Data | 4 |
| Bigtable distributed storage system | 2 |
| Cloud Bigtable | 1 |
| Google Bigtable | 1 |
| Google Bigtable storage system | 1 |
| Google Cloud Bigtable | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1634156 — 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: Bigtable Context triple: [Google Cloud, hasComponent, Bigtable]
-
A.
Google BigQuery
Google BigQuery is a fully managed, serverless cloud data warehouse from Google Cloud designed for fast SQL-based analytics on large-scale datasets.
-
B.
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.
-
C.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
D.
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.
-
E.
Google Cloud
Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Bigtable Target entity description: Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
-
A.
Google BigQuery
Google BigQuery is a fully managed, serverless cloud data warehouse from Google Cloud designed for fast SQL-based analytics on large-scale datasets.
-
B.
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.
-
C.
Snowflake Data Cloud
Snowflake Data Cloud is a cloud-native data platform that enables organizations to store, integrate, and analyze data at scale across multiple clouds with a unified, fully managed service.
-
D.
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.
-
E.
Google Cloud
Google Cloud is Alphabet Inc.'s cloud computing platform offering infrastructure, platform, and software services for building, deploying, and scaling applications and data solutions.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
NoSQL database
ⓘ
distributed database ⓘ wide-column store ⓘ |
| architecture | master-server architecture ⓘ |
| basedOn |
Chubby lock service
ⓘ
Google File System ⓘ |
| component |
master server
ⓘ
tablet servers ⓘ tablets ⓘ |
| consistencyModel | single-row transactions ⓘ |
| dataModel | sparse multidimensional sorted map ⓘ |
| designedFor | massive amounts of structured data ⓘ |
| developer | Google ⓘ |
| influenced |
Bigtable
self-linksurface differs
ⓘ
surface form:
Google Cloud Bigtable
|
| inspired |
Apache HBase
ⓘ
Cassandra data model ⓘ |
| keyStructure |
column family
ⓘ
column qualifier ⓘ row key ⓘ timestamp ⓘ |
| paperAuthorsInclude |
Andrew Fikes
ⓘ
Deborah A. Wallach ⓘ Fay Chang ⓘ Jeffrey Dean ⓘ Mike Burrows ⓘ Robert E. Gruber ⓘ Sanjay Ghemawat ⓘ Tushar Chandra ⓘ Wilson C. Hsieh ⓘ |
| paperPublishedAt |
OSDI
ⓘ
surface form:
OSDI 2006
|
| paperTitle |
Bigtable
self-linksurface differs
ⓘ
surface form:
Bigtable: A Distributed Storage System for Structured Data
|
| provides |
high performance
ⓘ
high reliability ⓘ horizontal scalability ⓘ |
| storageModel | SSTable files on GFS ⓘ |
| storesMetadataIn | Chubby ⓘ |
| supports |
automatic sharding
ⓘ
billions of rows ⓘ fault tolerance ⓘ load balancing across tablets ⓘ petabyte-scale datasets ⓘ random reads ⓘ random writes ⓘ range scans by row key ⓘ replication ⓘ schema evolution via column families ⓘ sequential writes ⓘ thousands of columns ⓘ versioned data via timestamps ⓘ |
| usedBy |
Universal Analytics
ⓘ
surface form:
Google Analytics
Google Earth ⓘ Google Maps ⓘ Google Search ⓘ |
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: Bigtable Description of subject: Bigtable is Google's distributed, scalable NoSQL database designed to handle massive amounts of structured data with high performance and reliability.
Referenced by (16)
Full triples — surface form annotated when it differs from this entity's canonical label.