Amazon Redshift
E17671
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Amazon Redshift canonical | 17 |
| Amazon Redshift RA3 instances | 1 |
| Amazon Redshift SQL dialect | 1 |
| Amazon Redshift data warehouse clusters | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T148210 — 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: Amazon Redshift Context triple: [Tableau, integratesWith, Amazon Redshift]
-
A.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
B.
SQL Server
SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
-
C.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
D.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
OSS
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
- 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: Amazon Redshift Target entity description: 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.
-
A.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
-
B.
SQL Server
SQL Server is Microsoft's enterprise-grade relational database management system used for storing, managing, and analyzing data in a wide range of applications.
-
C.
Power BI
Power BI is a Microsoft business analytics and data visualization platform used to transform, analyze, and present data through interactive dashboards and reports.
-
D.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
E.
OSS
OSS was the World War II-era U.S. intelligence agency that served as the predecessor to the Central Intelligence Agency (CIA).
- F. None of above. chosen
Statements (61)
| Predicate | Object |
|---|---|
| instanceOf |
Amazon Web Services product
ⓘ
cloud data warehouse service ⓘ managed database service ⓘ |
| deploymentModel | cloud-based ⓘ |
| developer | Amazon Web Services ⓘ |
| hasComponent |
Redshift cluster
ⓘ
compute nodes ⓘ leader node ⓘ |
| integratesWith |
Amazon Web Services
ⓘ
surface form:
AWS CloudTrail
AWS Glue ⓘ Amazon Web Services ⓘ
surface form:
AWS Lambda
Amazon CloudWatch ⓘ Amazon DynamoDB ⓘ Amazon Kinesis Data Firehose ⓘ Amazon QuickSight ⓘ Amazon RDS ⓘ Amazon S3 ⓘ |
| notDesignedFor | OLTP ⓘ |
| ownedBy |
Amazon
ⓘ
surface form:
Amazon.com, Inc.
|
| pricingModel |
on-demand
ⓘ
reserved instances ⓘ serverless ⓘ |
| primaryUseCase |
analytics
ⓘ
business intelligence ⓘ data warehousing ⓘ |
| regionAvailability | multiple AWS regions worldwide ⓘ |
| serviceModel | fully managed ⓘ |
| supportsClient |
JDBC
ⓘ
ODBC ⓘ psql-compatible clients ⓘ |
| supportsDataFormat |
Avro
ⓘ
CSV ⓘ JSON ⓘ ORC ⓘ Parquet ⓘ |
| supportsDeploymentOption |
provisioned clusters
ⓘ
serverless data warehouse ⓘ |
| supportsFeature |
AQUA (Advanced Query Accelerator)
ⓘ
RA3 instances with managed storage ⓘ automatic backups ⓘ columnar storage ⓘ concurrency scaling ⓘ data compression ⓘ encryption at rest ⓘ encryption in transit ⓘ federated queries ⓘ massively parallel processing ⓘ materialized views ⓘ spectrum for querying data in Amazon S3 ⓘ workload management ⓘ |
| supportsIntegrationType |
BI tools
ⓘ
ETL tools ⓘ data integration platforms ⓘ |
| supportsQueryLanguage |
PostgreSQL-compatible SQL
ⓘ
SQL ⓘ |
| supportsSecurityFeature |
AWS KMS integration
ⓘ
IAM integration ⓘ VPC isolation ⓘ audit logging ⓘ network encryption ⓘ |
| supportsWorkload | OLAP ⓘ |
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: Amazon Redshift Description of subject: 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.
Referenced by (20)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Amazon Redshift RA3 instances
this entity surface form:
Amazon Redshift data warehouse clusters
this entity surface form:
Amazon Redshift SQL dialect