Database Evaluated
Azure SQL Managed Instance logo

Azure SQL Managed Instance

Azure SQL Managed Instance is a fully managed, intelligent, and scalable cloud database service that combines the broadest SQL Server engine compatibility with all the benefits of a fully managed platform as a service (PaaS). It provides near 100% compatibility with the latest SQL Server (Enterprise Edition) database engine, allowing existing SQL Server customers to lift and shift their on-premises applications to the cloud with minimal application and database changes.

Category / Domain Database
I/O Performance Empirical Profile

Core Information

#core_information

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

Overview & Role

Azure SQL Managed Instance is a fully managed, intelligent, and scalable cloud database service that combines the broadest SQL Server engine compatibility with all the benefits of a fully managed platform as a service (PaaS). It provides near 100% compatibility with the latest SQL Server (Enterprise Edition) database engine, allowing existing SQL Server customers to lift and shift their on-premises applications to the cloud with minimal application and database changes.

Domain Classification & Tags

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Up to 1.5 million requests/sec (with 128 vCores, 8 TB storage)

Payload Size: 1 KB - 1 MB (typical row sizes)

Processing Latency: 2-10 ms (for in-memory optimized tables), 5-30 ms (for standard tables)

Write Performance Profile

Throughput: Up to 500,000 transactions/sec (with 128 vCores, 8 TB storage)

Payload Size: 1 KB - 1 MB (typical row sizes)

Processing Latency: 5-20 ms (for in-memory optimized tables), 10-50 ms (for standard tables)

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 SQL Managed Instance.

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.