AWS DataSync
E459747
AWS DataSync is a managed data transfer service that automates and accelerates moving large amounts of data between on-premises storage, edge locations, and AWS storage services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| AWS DataSync canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4600411 — 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: AWS DataSync Context triple: [Amazon S3, integratesWith, AWS DataSync]
-
A.
AWS Snowball
AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
-
B.
AWS Storage Gateway
AWS Storage Gateway is a hybrid cloud storage service that connects on-premises environments to AWS cloud storage for backup, archiving, and disaster recovery.
-
C.
AWS Backup
AWS Backup is a fully managed cloud backup service that centralizes and automates data protection across AWS services and on-premises environments.
-
D.
Amazon FSx
Amazon FSx is a fully managed file storage service from AWS that provides high-performance, scalable, and feature-rich file systems built on popular file system technologies.
-
E.
Amazon EFS
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
- 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: AWS DataSync Target entity description: AWS DataSync is a managed data transfer service that automates and accelerates moving large amounts of data between on-premises storage, edge locations, and AWS storage services.
-
A.
AWS Snowball
AWS Snowball is a petabyte-scale data transport and edge computing device from Amazon Web Services designed to securely move large amounts of data into and out of the AWS cloud.
-
B.
AWS Storage Gateway
AWS Storage Gateway is a hybrid cloud storage service that connects on-premises environments to AWS cloud storage for backup, archiving, and disaster recovery.
-
C.
AWS Backup
AWS Backup is a fully managed cloud backup service that centralizes and automates data protection across AWS services and on-premises environments.
-
D.
Amazon FSx
Amazon FSx is a fully managed file storage service from AWS that provides high-performance, scalable, and feature-rich file systems built on popular file system technologies.
-
E.
Amazon EFS
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
- F. None of above. chosen
Statements (78)
| Predicate | Object |
|---|---|
| instanceOf |
AWS service
ⓘ
managed data transfer service ⓘ |
| agentDeploymentOption |
Amazon EC2
NERFINISHED
ⓘ
KVM NERFINISHED ⓘ Microsoft Hyper-V NERFINISHED ⓘ VMware ESXi NERFINISHED ⓘ |
| developer | Amazon Web Services NERFINISHED ⓘ |
| documentationURL | https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html ⓘ |
| feature |
CloudTrail logging
ⓘ
CloudWatch logs integration ⓘ CloudWatch metrics integration ⓘ IAM-based access control ⓘ NFS attribute transfer ⓘ POSIX metadata transfer ⓘ SMB ACL transfer ⓘ VPC support ⓘ automatic data encryption using TLS ⓘ automatic data integrity checksums ⓘ automatic performance optimization ⓘ bandwidth throttling ⓘ compression during transfer ⓘ data filtering by include and exclude patterns ⓘ data integrity verification ⓘ data validation ⓘ encryption at rest via destination services ⓘ encryption in transit ⓘ incremental data transfer ⓘ metadata and permissions preservation ⓘ one-time data migration ⓘ ongoing data replication ⓘ online data transfer ⓘ parallel transfer ⓘ private connectivity via VPC endpoints ⓘ scheduled data transfer ⓘ task scheduling ⓘ task-based management model ⓘ |
| integratesWith |
AWS CloudTrail
NERFINISHED
ⓘ
AWS Identity and Access Management NERFINISHED ⓘ AWS KMS via destination services ⓘ Amazon CloudWatch NERFINISHED ⓘ |
| managementInterface |
AWS CLI
NERFINISHED
ⓘ
AWS Management Console NERFINISHED ⓘ AWS SDKs NERFINISHED ⓘ |
| pricingModel | pay-as-you-go ⓘ |
| pricingUnit | per gigabyte of data copied ⓘ |
| provider | Amazon Web Services NERFINISHED ⓘ |
| regionAvailability | multiple AWS Regions worldwide ⓘ |
| requires | DataSync agent for on-premises locations ⓘ |
| securityFeature |
IAM roles for tasks
ⓘ
support for VPC endpoints ⓘ support for private IP connectivity ⓘ |
| supportsLocationType |
AWS Snowball Edge
NERFINISHED
ⓘ
AWS Snowcone NERFINISHED ⓘ HDFS ⓘ VPC endpoints ⓘ on-premises NFS file systems ⓘ on-premises SMB file shares ⓘ other AWS Regions ⓘ self-managed object storage ⓘ |
| supportsService |
Amazon EFS
NERFINISHED
ⓘ
Amazon FSx for Lustre NERFINISHED ⓘ Amazon FSx for NetApp ONTAP NERFINISHED ⓘ Amazon FSx for OpenZFS NERFINISHED ⓘ Amazon FSx for Windows File Server NERFINISHED ⓘ Amazon S3 NERFINISHED ⓘ Amazon S3 Glacier Deep Archive NERFINISHED ⓘ Amazon S3 Glacier Flexible Retrieval NERFINISHED ⓘ Amazon S3 on Outposts NERFINISHED ⓘ |
| supportsTransferBetween |
AWS storage services
NERFINISHED
ⓘ
edge locations and AWS storage services ⓘ on-premises storage and AWS storage services ⓘ |
| useCase |
analytics data transfer
ⓘ
archival to Amazon S3 Glacier ⓘ data lake ingestion ⓘ data migration to AWS ⓘ data replication for backup ⓘ disaster recovery data movement ⓘ hybrid cloud storage workflows ⓘ |
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: AWS DataSync Description of subject: AWS DataSync is a managed data transfer service that automates and accelerates moving large amounts of data between on-premises storage, edge locations, and AWS storage services.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.