Cache Evaluated
Amazon ElastiCache for Redis logo

Amazon ElastiCache for Redis

Amazon ElastiCache for Redis is a fully managed, in-memory data store service compatible with Redis. It provides a high-performance, scalable, and secure caching solution that can significantly improve the performance of web applications and services by retrieving data from fast in-memory caches instead of relying entirely on slower disk-based databases.

Category / Domain Cache
I/O Performance Empirical Profile

Core Information

#core_information

Name, description, vendor website, logo, technology type and tags.

Overview & Role

Amazon ElastiCache for Redis is a fully managed, in-memory data store service compatible with Redis. It provides a high-performance, scalable, and secure caching solution that can significantly improve the performance of web applications and services by retrieving data from fast in-memory caches instead of relying entirely on slower disk-based databases.

Domain Classification & Tags

Performance Profile

#performance_profile

Typical read and write throughput, payload size and processing latency.

Read Performance Profile

Throughput: Hundreds of thousands to millions of operations/sec (e.g., 500,000 - 2,000,000+ ops/sec for large instances/clusters)

Payload Size: Typically 1 KB - 1 MB (Redis is optimized for smaller, in-memory objects, but can handle larger blobs up to 512 MB per key)

Processing Latency: Sub-millisecond (e.g., 0.1 - 1 ms for simple GETs)

Write Performance Profile

Throughput: Hundreds of thousands to millions of operations/sec (e.g., 200,000 - 1,000,000+ ops/sec for large instances/clusters)

Payload Size: Typically 1 KB - 1 MB (Redis is optimized for smaller, in-memory objects, but can handle larger blobs up to 512 MB per key)

Processing Latency: Sub-millisecond (e.g., 0.1 - 2 ms for simple SETs)

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

Features

#features

Catalogued product capabilities and what each one does.

Empirical data for features is currently being compiled in the global catalog.

Typical Use Cases

#typical_use_cases

Scenarios the technology is commonly chosen for.

Empirical data for typical use cases is currently being compiled in the global catalog.

Known Customers

#known_customers

Publicly referenced organisations using the technology.

Empirical data for known customers is currently being compiled in the global catalog.

Known Integrations

#known_integrations

Other products and services it is documented to work with.

Empirical data for known integrations is currently being compiled in the global catalog.

Connectors

#connectors

Directional data connections to other technologies, with direction and maturity.

Empirical data for connectors is currently being compiled in the global catalog.

Reference Architectures

#reference_architectures

Published architectures where the technology is used or mentioned.

No published reference architecture blueprints currently link to Amazon ElastiCache for Redis.

Security Features

#security_features

Built-in security and access-control capabilities.

Empirical data for security features is currently being compiled in the global catalog.

Known Issues

#known_issues

Documented limitations, defects and operational pitfalls.

Empirical data for known issues is currently being compiled in the global catalog.

Guidelines

#guidelines

Recommended practices for adopting and operating the technology.

Empirical data for guidelines is currently being compiled in the global catalog.

Standards & Compliance

#standards_and_compliance

Standards, certifications and control requirements it maps to.

Empirical data for standards & compliance is currently being compiled in the global catalog.

Sources

#sources

Documentation and research references behind the recorded information.

Empirical data for sources is currently being compiled in the global catalog.

Expert Validation

#expert_validation

Whether domain experts reviewed and confirmed the content.

Empirical data for expert validation is currently being compiled in the global catalog.