Cloud Spanner
E184215
Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Spanner | 3 |
| Cloud Spanner canonical | 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.
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.
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 |
Google BigQuery
ⓘ
surface form:
BigQuery
Cloud Functions ⓘ Cloud Run ⓘ Google Cloud Dataflow ⓘ
surface form:
Dataflow
Google Kubernetes Engine ⓘ Google Cloud Pub/Sub ⓘ
surface form:
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
ⓘ
surface form:
Google Cloud infrastructure
|
| 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
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: Cloud Spanner Description of subject: Cloud Spanner is Google Cloud’s fully managed, horizontally scalable, globally distributed relational database service that offers strong consistency and high availability.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.