Microsoft Power BI — Technology Profile & Architecture

Core Information

#core_information

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

Overview & Role

Power BI is a business intelligence platform developed by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end-users to create their own reports and dashboards. It connects to a wide range of data sources, allowing users to transform raw data into meaningful insights through data modeling and report creation. Power BI offers cloud-based services (Power BI Service), a desktop application (Power BI Desktop), and mobile apps.

Domain Classification & Tags

BI Business Analytics

Performance Profile

#performance_profile

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

Read Performance Profile

Throughput: Varies greatly based on data model complexity, report design, and data source. Can range from hundreds to thousands of report views/refreshes per minute for optimized reports.

Payload Size: Varies; typically involves fetching aggregated data, not raw rows. Can range from KBs to MBs depending on the visual and data granularity.

Processing Latency: Typically 1-10 seconds for complex reports with direct queries, often sub-second for cached or imported data models with optimized visuals.

Write Performance Profile

Throughput: Primarily refers to data refresh rates. Can range from real-time (DirectQuery) to once every 30 minutes (Pro) or every minute (Premium) for scheduled refreshes. Manual refreshes are on-demand.

Payload Size: Varies significantly based on data source and refresh type (full vs. incremental). Can range from KBs to GBs for large datasets.

Processing Latency: Depends on data source, network, and data volume. Can be minutes to hours for large dataset refreshes, sub-second for individual data point updates in real-time scenarios (e.g., streaming datasets).

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 Power BI.

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.