Azure SQL Database
E36150
Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
All labels observed (6)
| Label | Occurrences |
|---|---|
| Azure SQL Database canonical | 32 |
| Microsoft Azure SQL Database | 2 |
| Azure SQL Database Hyperscale | 1 |
| Azure SQL Database elastic pools | 1 |
| Azure SQL Database serverless | 1 |
| Azure SQL databases | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T277329 — 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: Azure SQL Database Context triple: [Power BI, integratesWith, Azure SQL Database]
-
A.
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
-
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.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
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.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
- 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: Azure SQL Database Target entity description: Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
-
A.
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based analytics service from Microsoft that unifies big data and data warehousing to enable large-scale data integration, exploration, and business intelligence.
-
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.
Azure
Azure is Microsoft's cloud computing platform offering a wide range of services for building, deploying, and managing applications and infrastructure through Microsoft-managed data centers.
-
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.
Oracle Database
Oracle Database is a widely used enterprise relational database management system known for its scalability, reliability, and robust support for complex data workloads.
- F. None of above. chosen
Statements (86)
| Predicate | Object |
|---|---|
| instanceOf |
Platform as a Service
ⓘ
cloud database service ⓘ relational database management system ⓘ |
| authenticationMethod |
Azure Active Directory authentication
ⓘ
SQL authentication ⓘ |
| backupType |
differential backups
ⓘ
full backups ⓘ transaction log backups ⓘ |
| basedOn |
Microsoft SQL Server
ⓘ
linked to:
SQL Server
|
| deploymentModel | cloud ⓘ |
| designedFor |
OLTP workloads
ⓘ
SaaS applications ⓘ line-of-business applications ⓘ web applications ⓘ |
| developer | Microsoft ⓘ |
| integratesWith |
Azure App Service
ⓘ
Azure Data Factory ⓘ Azure Functions ⓘ Azure Logic Apps ⓘ Azure Synapse Analytics ⓘ Power BI ⓘ |
| offersComputeTier |
provisioned compute
ⓘ
serverless compute tier ⓘ |
| offersPricingModel |
DTU-based purchasing model
ⓘ
vCore-based purchasing model ⓘ |
| offersServiceTier |
Basic
ⓘ
Business Critical ⓘ General Purpose ⓘ Hyperscale ⓘ Premium ⓘ Standard ⓘ |
| provides |
automatic maintenance
ⓘ
disaster recovery capabilities ⓘ enterprise-grade security ⓘ high availability ⓘ managed database platform ⓘ scalability ⓘ |
| runsOn |
Microsoft Azure
ⓘ
linked to:
Azure
|
| securityModel | defense in depth ⓘ |
| serviceModel | Database as a Service ⓘ |
| supportsFeature |
Always Encrypted
ⓘ
Azure AD authentication ⓘ Azure Key Vault integration ⓘ Azure Monitor integration ⓘ Azure Policy integration ⓘ JSON support ⓘ SQL auditing ⓘ active geo-replication ⓘ automatic backups ⓘ automatic index management ⓘ automatic patching ⓘ automatic scaling ⓘ automatic tuning ⓘ backup encryption ⓘ built-in high availability ⓘ change tracking ⓘ column-level encryption ⓘ columnstore indexes ⓘ connection pooling ⓘ data classification ⓘ dynamic data masking ⓘ elastic jobs ⓘ elastic pools ⓘ failover groups ⓘ geo-replication ⓘ geo-restore ⓘ hyperscale storage ⓘ in-memory OLTP ⓘ intelligent query processing ⓘ long-term backup retention ⓘ managed identities ⓘ multi-tenant SaaS architectures ⓘ point-in-time restore ⓘ private endpoints ⓘ query performance insight ⓘ read scale-out ⓘ row-level security ⓘ serverless compute ⓘ temporal tables ⓘ threat detection ⓘ transparent data encryption ⓘ virtual network service endpoints ⓘ zone-redundant configuration ⓘ |
| supportsLanguage |
T-SQL
ⓘ
linked to:
SQL
Transact-SQL ⓘ
linked to:
SQL
|
| supportsModel | relational data model ⓘ |
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: Azure SQL Database Description of subject: Azure SQL Database is Microsoft’s fully managed, cloud-based relational database service built on SQL Server technology for scalable, secure data storage and processing.
Referenced by (38)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Azure
linked to: Azure SQL Database
linked to: Azure SQL Database
linked to: Azure SQL Database
linked to: Azure SQL Database
linked to: Azure SQL Database
linked to: Azure SQL Database