Amazon MemoryDB for Redis
Amazon MemoryDB for Redis is a Redis-compatible, in-memory database service built for modern applications. It delivers ultra-fast performance with multiazimuthal durability and atomicity, making it suitable for use cases requiring high throughput and low latency, such as real-time analytics, caching, and session management. MemoryDB stores data durably in memory across multiple Availability Zones, providing high availability and data persistence.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Amazon MemoryDB for Redis is a Redis-compatible, in-memory database service built for modern applications. It delivers ultra-fast performance with multiazimuthal durability and atomicity, making it suitable for use cases requiring high throughput and low latency, such as real-time analytics, caching, and session management. MemoryDB stores data durably in memory across multiple Availability Zones, providing high availability and data persistence.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: hundreds of millions of requests per second
Payload Size: N/A
Processing Latency: N/A
Write Performance Profile
Throughput: hundreds of millions of requests per second
Payload Size: N/A
Processing Latency: N/A
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 Amazon MemoryDB for Redis.
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.