Amazon RDS for PostgreSQL — Technology Profile & Architecture

Core Information

#core_information

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

Overview & Role

Amazon RDS for PostgreSQL is a managed relational database service that makes it easy to set up, operate, and scale PostgreSQL deployments in the cloud. It automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups, allowing developers to focus on application development. It supports various PostgreSQL versions and offers high availability, read replicas, and security features.

Domain Classification & Tags

Database Relational

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Thousands to hundreds of thousands of transactions/sec (TPS) or queries/sec (QPS), depending on instance size and workload complexity. For simple reads, 50,000 - 200,000 QPS is achievable on larger instances.

Payload Size: Typically 1 KB to 1 MB per row/record, but can vary widely based on schema and query.

Processing Latency: Sub-millisecond for cached data, 1-10 ms for disk-backed reads on optimized instances (e.g., r5/r6g with gp3/io2 storage). Can be higher for complex queries or cold data.

Write Performance Profile

Throughput: Hundreds to tens of thousands of transactions/sec (TPS), heavily dependent on instance size, storage type (IOPS), and workload (e.g., simple inserts vs. complex updates with many indexes). 5,000 - 20,000 TPS is common for well-tuned systems.

Payload Size: Typically 1 KB to 1 MB per row/record, but can vary widely based on schema and transaction type.

Processing Latency: 1-20 ms for typical transactions on optimized instances (e.g., r5/r6g with gp3/io2 storage). Can be higher for large transactions, heavy indexing, or slower storage.

Architecture Diagram

#architecture_diagram

Reference diagram of the technology's internal architecture.

Component Architecture & Topology

open_in_new Standalone Tab

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 RDS for PostgreSQL.

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.