AWS DataSync
AWS DataSync is a secure, online data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services, as well as between different AWS storage services. It supports various storage types including Network File System (NFS), Server Message Block (SMB), Hadoop Distributed File System (HDFS), object storage, and various AWS services like Amazon S3, Amazon EFS, and Amazon FSx.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
AWS DataSync is a secure, online data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services, as well as between different AWS storage services. It supports various storage types including Network File System (NFS), Server Message Block (SMB), Hadoop Distributed File System (HDFS), object storage, and various AWS services like Amazon S3, Amazon EFS, and Amazon FSx.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Up to 10 Gbps per agent (single task), up to 100 Gbps (multiple tasks/agents)
Payload Size: Varies greatly depending on file size and type, from KB to TB
Processing Latency: Varies significantly based on network conditions, source storage, and file size (seconds to hours for large transfers)
Write Performance Profile
Throughput: Up to 10 Gbps per agent (single task), up to 100 Gbps (multiple tasks/agents)
Payload Size: Varies greatly depending on file size and type, from KB to TB
Processing Latency: Varies significantly based on network conditions, destination storage, and file size (seconds to hours for large transfers)
Architecture Diagram
#architecture_diagramReference diagram of the technology's internal architecture.
Features
#featuresCatalogued product capabilities and what each one does.
Empirical data for features is currently being compiled in the global catalog.
Typical Use Cases
#typical_use_casesScenarios the technology is commonly chosen for.
Empirical data for typical use cases is currently being compiled in the global catalog.
Known Customers
#known_customersPublicly referenced organisations using the technology.
Empirical data for known customers is currently being compiled in the global catalog.
Known Integrations
#known_integrationsOther products and services it is documented to work with.
Empirical data for known integrations is currently being compiled in the global catalog.
Connectors
#connectorsDirectional data connections to other technologies, with direction and maturity.
Empirical data for connectors is currently being compiled in the global catalog.
Reference Architectures
#reference_architecturesPublished architectures where the technology is used or mentioned.
No published reference architecture blueprints currently link to AWS DataSync.
Security Features
#security_featuresBuilt-in security and access-control capabilities.
Empirical data for security features is currently being compiled in the global catalog.
Known Issues
#known_issuesDocumented limitations, defects and operational pitfalls.
Empirical data for known issues is currently being compiled in the global catalog.
Guidelines
#guidelinesRecommended practices for adopting and operating the technology.
Empirical data for guidelines is currently being compiled in the global catalog.
Standards & Compliance
#standards_and_complianceStandards, certifications and control requirements it maps to.
Empirical data for standards & compliance is currently being compiled in the global catalog.
Sources
#sourcesDocumentation and research references behind the recorded information.
Empirical data for sources is currently being compiled in the global catalog.
Expert Validation
#expert_validationWhether domain experts reviewed and confirmed the content.
Empirical data for expert validation is currently being compiled in the global catalog.