S3 Select
E459737
S3 Select is an Amazon S3 feature that lets you retrieve only a subset of data from within objects using SQL-like queries, improving performance and reducing data transfer costs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| S3 Select canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4600319 — 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: S3 Select Context triple: [Amazon S3, supportsOperation, S3 Select]
-
A.
Amazon Athena
Amazon Athena is a serverless, interactive query service from AWS that lets users analyze data directly in Amazon S3 using standard SQL.
-
B.
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.
-
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.
DynamoDB Streams
DynamoDB Streams is a change data capture feature of Amazon DynamoDB that records item-level modifications in near real time for use cases like event-driven processing, replication, and auditing.
-
E.
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.
- 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: S3 Select Target entity description: S3 Select is an Amazon S3 feature that lets you retrieve only a subset of data from within objects using SQL-like queries, improving performance and reducing data transfer costs.
-
A.
Amazon Athena
Amazon Athena is a serverless, interactive query service from AWS that lets users analyze data directly in Amazon S3 using standard SQL.
-
B.
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.
-
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.
DynamoDB Streams
DynamoDB Streams is a change data capture feature of Amazon DynamoDB that records item-level modifications in near real time for use cases like event-driven processing, replication, and auditing.
-
E.
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.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
Amazon S3 feature
ⓘ
cloud storage data retrieval feature ⓘ |
| accessMethod |
AWS CLI
NERFINISHED
ⓘ
AWS SDKs NERFINISHED ⓘ REST API NERFINISHED ⓘ |
| billingModel |
charged per amount of data returned
ⓘ
charged per amount of data scanned ⓘ |
| developedBy | Amazon Web Services NERFINISHED ⓘ |
| documentationURL | https://docs.aws.amazon.com/AmazonS3/latest/dev/selecting-content-from-objects.html ⓘ |
| integratesWith |
AWS Lambda
NERFINISHED
ⓘ
Amazon Athena NERFINISHED ⓘ Amazon EMR NERFINISHED ⓘ Amazon Redshift Spectrum NERFINISHED ⓘ |
| introducedBy | AWS re:Invent announcement (2017) NERFINISHED ⓘ |
| limitation |
does not support all SQL functions
ⓘ
queries are limited to a single object at a time ⓘ |
| operatesOn | objects stored in Amazon S3 ⓘ |
| partOf | Amazon Simple Storage Service NERFINISHED ⓘ |
| primaryBenefit |
improve query performance on S3 data
ⓘ
reduce application-side filtering workload ⓘ reduce data transfer costs ⓘ |
| primaryFunction | retrieve subset of data from S3 objects ⓘ |
| securityFeature |
supports client-side encryption (with limitations)
ⓘ
supports server-side encryption ⓘ |
| serviceType |
data filtering service
ⓘ
data retrieval optimization feature ⓘ |
| supportsCompression |
BZIP2
NERFINISHED
ⓘ
GZIP ⓘ |
| supportsFeature |
column projection
ⓘ
row filtering ⓘ server-side filtering of object content ⓘ simple SQL predicates ⓘ |
| supportsFormat |
CSV
ⓘ
JSON ⓘ Parquet ⓘ |
| supportsQueryLanguage | SQL-like expressions ⓘ |
| supportsStorageClass |
S3 Glacier Select
NERFINISHED
ⓘ
S3 One Zone-IA NERFINISHED ⓘ S3 Standard NERFINISHED ⓘ S3 Standard-IA NERFINISHED ⓘ |
| useCase |
filtering JSON logs in S3
ⓘ
querying large CSV files in S3 ⓘ reading specific columns from Parquet data ⓘ reducing data scanned by analytics applications ⓘ |
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: S3 Select Description of subject: S3 Select is an Amazon S3 feature that lets you retrieve only a subset of data from within objects using SQL-like queries, improving performance and reducing data transfer costs.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.