Cloud Spanner

E184215

distributed relational database service managed database service

Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (6)

Label	Occurrences
Spanner	3
Cloud Spanner canonical	2
Google Cloud Spanner	1
Google Spanner	1
Spanner distributed database	1
Spanner: Google’s Globally-Distributed Database	1

How this entity was disambiguated

This entity first appeared as the object of triple T1634154 — 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: Cloud Spanner
Context triple: [Google Cloud, hasComponent, Cloud Spanner]

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. 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.
C. Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
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. 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.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Cloud Spanner
Target entity description: Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.

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. 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.
C. Azure Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model NoSQL database service designed for low-latency, scalable applications in the cloud.
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. 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 (63)

Predicate	Object
instanceOf	distributed relational database service ⓘ managed database service ⓘ
announcementDate	2016 ⓘ
basedOn	Google Spanner internal system ⓘ
competesWith	Amazon Aurora ⓘ Amazon DynamoDB ⓘ Azure Cosmos DB ⓘ CockroachDB ⓘ
consistencyModel	strong consistency ⓘ
consoleURL	https://console.cloud.google.com/spanner ⓘ
databaseModel	relational database ⓘ
deploymentModel	cloud service ⓘ
developer	Google ⓘ
documentationURL	https://cloud.google.com/spanner/docs ⓘ
feature	backup and restore ⓘ federated queries from BigQuery ⓘ multi-region configurations ⓘ node-based capacity scaling ⓘ performance insights ⓘ point-in-time recovery ⓘ query execution statistics ⓘ query optimizer ⓘ regional configurations ⓘ serverless autoscaling (Spanner autoscaler / autoscaling configurations) ⓘ
generalAvailabilityDate	2017 ⓘ
integratesWith	BigQuery ⓘ linked to: Google BigQuery Cloud Functions ⓘ Cloud Run ⓘ Dataflow ⓘ linked to: Google Cloud Dataflow Google Kubernetes Engine ⓘ Pub/Sub ⓘ linked to: Google Cloud Pub/Sub
property	ACID transactions ⓘ automatic failover ⓘ automatic sharding ⓘ high availability ⓘ managed backups ⓘ schema-based tables ⓘ synchronous replication ⓘ
providedBy	Google Cloud ⓘ
releasedBy	Google ⓘ
runsOn	Google Cloud infrastructure ⓘ linked to: Google Cloud
serviceModel	Database as a Service ⓘ
supports	ANSI SQL dialect ⓘ IAM-based access control ⓘ SQL ⓘ change streams ⓘ distributed transactions ⓘ encryption at rest ⓘ encryption in transit ⓘ global distribution ⓘ horizontal scalability ⓘ interleaved tables ⓘ partitioned DML ⓘ point-in-time reads ⓘ read-only transactions ⓘ read-write transactions ⓘ secondary indexes ⓘ
useCase	financial services workloads ⓘ gaming backends ⓘ global inventory management ⓘ retail and ecommerce systems ⓘ telecommunications systems ⓘ user metadata storage ⓘ

How these facts were elicited

Referenced by (9)

Full triples — surface form annotated when it differs from this entity's canonical label.

Google Cloud → hasComponent → Cloud Spanner ⓘ

Jeff Dean → notableWork → Spanner ⓘ

linked to: Cloud Spanner

Jeffrey Dean → knownFor → Spanner ⓘ

linked to: Cloud Spanner

Jeffrey Dean → coAuthorOf → Spanner: Google’s Globally-Distributed Database ⓘ

linked to: Cloud Spanner

Google Cloud Dataflow → supportsIntegrationWith → Spanner ⓘ

linked to: Cloud Spanner

Paxos consensus algorithm → usedIn → Google Spanner ⓘ

linked to: Cloud Spanner

Google infrastructure → hasComponent → Spanner distributed database ⓘ

linked to: Cloud Spanner

SQLAlchemy → supportsDatabase → Google Cloud Spanner ⓘ

linked to: Cloud Spanner

VPC Service Controls → protects → Cloud Spanner ⓘ

All labels observed (6)

How this entity was disambiguated Show

Statements (63)

How these facts were elicited Show

Referenced by (9)

How this entity was disambiguated

How these facts were elicited