Amazon OpenSearch Service
E426143
Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and Elasticsearch-compatible search and analytics clusters in the cloud.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Amazon OpenSearch Service canonical | 5 |
| Amazon Elasticsearch Service | 2 |
| Amazon OpenSearch Service (formerly Amazon Elasticsearch Service) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4280008 — 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: Amazon OpenSearch Service Context triple: [Amazon Kinesis Data Firehose, integratesWith, Amazon OpenSearch Service]
-
A.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
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B.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
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C.
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.
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D.
Amazon Web Services Open Data
Amazon Web Services Open Data is a program that hosts and freely provides access to large, publicly available datasets—such as satellite imagery, genomics, and climate data—on AWS cloud infrastructure for research, innovation, and application development.
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E.
AltaVista
AltaVista was one of the earliest and most popular web search engines of the 1990s, known for its fast, comprehensive internet search before being eclipsed by later competitors.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Amazon OpenSearch Service Target entity description: Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and Elasticsearch-compatible search and analytics clusters in the cloud.
-
A.
Amazon DocumentDB
Amazon DocumentDB is a fully managed, scalable document database service from AWS designed to be compatible with MongoDB workloads and optimized for performance, durability, and security in the cloud.
-
B.
Amazon Neptune
Amazon Neptune is a fully managed graph database service designed for storing and querying highly connected data using popular graph models and query languages.
-
C.
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.
-
D.
Amazon Web Services Open Data
Amazon Web Services Open Data is a program that hosts and freely provides access to large, publicly available datasets—such as satellite imagery, genomics, and climate data—on AWS cloud infrastructure for research, innovation, and application development.
-
E.
AltaVista
AltaVista was one of the earliest and most popular web search engines of the 1990s, known for its fast, comprehensive internet search before being eclipsed by later competitors.
- F. None of above. chosen
Statements (52)
| Predicate | Object |
|---|---|
| instanceOf |
AWS service
ⓘ
cloud service ⓘ managed search and analytics service ⓘ |
| billingModel | pay-as-you-go ⓘ |
| deploymentModel | fully managed ⓘ |
| developedBy | Amazon Web Services NERFINISHED ⓘ |
| formerlyKnownAs | Amazon Elasticsearch Service NERFINISHED ⓘ |
| integratesWith |
AWS Identity and Access Management
NERFINISHED
ⓘ
AWS Lambda NERFINISHED ⓘ Amazon CloudWatch NERFINISHED ⓘ Amazon Kinesis Data Firehose NERFINISHED ⓘ Amazon S3 NERFINISHED ⓘ Amazon VPC NERFINISHED ⓘ |
| operatedBy | Amazon Web Services NERFINISHED ⓘ |
| provides |
dashboards
ⓘ
full-text search ⓘ log analytics ⓘ observability features ⓘ real-time application monitoring ⓘ search capabilities ⓘ structured search ⓘ time-series analytics ⓘ |
| regionAvailability | multiple AWS regions worldwide ⓘ |
| runsOn | Amazon EC2 instances ⓘ |
| supports |
Elasticsearch-compatible APIs
ⓘ
OpenSearch NERFINISHED ⓘ |
| supportsFeature |
Cognito authentication
ⓘ
EBS-backed storage ⓘ IP-based access policies ⓘ Kibana (for compatible versions) ⓘ OpenSearch Dashboards NERFINISHED ⓘ SAML authentication ⓘ UltraWarm storage ⓘ VPC access ⓘ auto-tune ⓘ automated backups ⓘ automated snapshots ⓘ cold storage tiers ⓘ domain-level access policies ⓘ domain-level metrics ⓘ encryption at rest ⓘ encryption in transit ⓘ fine-grained access control ⓘ index lifecycle management ⓘ instance store-backed storage ⓘ multi-AZ deployments ⓘ node-to-node encryption ⓘ role-based access control ⓘ |
| useCase |
application search
ⓘ
business analytics ⓘ log aggregation ⓘ security analytics ⓘ |
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: Amazon OpenSearch Service Description of subject: Amazon OpenSearch Service is a fully managed service from AWS for deploying, operating, and scaling OpenSearch and Elasticsearch-compatible search and analytics clusters in the cloud.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.