Microsoft Dynamics 365 logo

Microsoft Dynamics 365

Microsoft Dynamics 365 is a suite of intelligent cloud-based business applications that unifies CRM (customer relationship management) and ERP (enterprise resource planning) capabilities. It helps organizations manage various business functions including sales, customer service, finance, operations, marketing, and human resources. Dynamics 365 leverages AI and data analytics to provide insights and improve business processes.

Category / Domain Enterprise Applications
I/O Performance Empirical Profile

Core Information

#core_information

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

Overview & Role

Microsoft Dynamics 365 is a suite of intelligent cloud-based business applications that unifies CRM (customer relationship management) and ERP (enterprise resource planning) capabilities. It helps organizations manage various business functions including sales, customer service, finance, operations, marketing, and human resources. Dynamics 365 leverages AI and data analytics to provide insights and improve business processes.

Domain Classification & Tags

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Varies greatly by module and workload; often measured in transactions per hour/day rather than requests/sec. For typical CRM/ERP operations, hundreds to thousands of concurrent users performing various read operations.

Payload Size: Highly variable, from small metadata reads (KB) to large report data (MBs). Typical entity record reads are in the low KB range.

Processing Latency: Typically 100-500 ms for standard form loads and record retrievals, depending on network, customization, and data complexity. Simple API reads can be 50-200 ms.

Write Performance Profile

Throughput: Varies greatly by module and workload. For typical CRM/ERP operations, hundreds to thousands of concurrent users performing various write operations. Bulk imports can process thousands of records per minute.

Payload Size: Highly variable, from single record updates (KB) to bulk data imports (MBs). Typical entity record writes are in the low KB range.

Processing Latency: Typically 200-800 ms for standard record creation/updates, depending on network, business logic, plugins, and data complexity. Simple API writes can be 100-400 ms.

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 Microsoft Dynamics 365.

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.