Azure Database for PostgreSQL — Technology Profile & Architecture

Core Information

#core_information

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

Overview & Role

Azure Database for PostgreSQL is a fully managed, AI-ready relational database service provided by Microsoft Azure. It offers built-in AI capabilities, mission-critical performance with high availability, and enterprise-grade security. The service provides full open-source compatibility with PostgreSQL, supporting various extensions and community versions.

Domain Classification & Tags

Database

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 SKU and workload complexity. Up to 250,000 IOPS for storage.

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 simple point reads (e.g., 1-5 ms), tens to hundreds of milliseconds for complex analytical queries.

Write Performance Profile

Throughput: Thousands to tens of thousands of transactions/sec (TPS), limited by storage IOPS and CPU. Up to 250,000 IOPS for storage.

Payload Size: Typically 1 KB to 1 MB per row/record for OLTP, larger for bulk inserts/updates.

Processing Latency: Typically 2-10 ms for simple OLTP writes (INSERT/UPDATE/DELETE), higher for complex transactions or large batches.

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 Azure Database 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.