AWS Data Migration Service
AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS quickly and securely. It supports homogeneous migrations (e.g., Oracle to Oracle) as well as heterogeneous migrations between different database platforms (e.g., Oracle to Amazon Aurora or Microsoft SQL Server to MySQL). The source database remains fully operational during the migration, minimizing downtime for applications.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
AWS Database Migration Service (AWS DMS) helps you migrate databases to AWS quickly and securely. It supports homogeneous migrations (e.g., Oracle to Oracle) as well as heterogeneous migrations between different database platforms (e.g., Oracle to Amazon Aurora or Microsoft SQL Server to MySQL). The source database remains fully operational during the migration, minimizing downtime for applications.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Varies significantly based on source database, network, and instance type (e.g., hundreds of MB/s to several GB/s for full load, lower for CDC)
Payload Size: N/A (reads entire database or change streams)
Processing Latency: N/A (continuous process, not a single request-response latency)
Write Performance Profile
Throughput: Varies significantly based on target database, network, and instance type (e.g., hundreds of MB/s to several GB/s for full load, lower for CDC)
Payload Size: N/A (writes entire database or change streams)
Processing Latency: N/A (continuous process, not a single request-response latency)
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 Data Migration Service.
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.