Azure Stream Analytics
Azure Stream Analytics is a real-time analytics service designed for complex event processing over fast-moving streams of data. It enables users to easily set up real-time analytical computations on data streaming from devices, sensors, websites, social media, and other applications, with the ability to identify patterns and relationships in data from multiple input sources.
Core Information
#core_informationName, description, vendor website, logo, technology type and tags.
Overview & Role
Azure Stream Analytics is a real-time analytics service designed for complex event processing over fast-moving streams of data. It enables users to easily set up real-time analytical computations on data streaming from devices, sensors, websites, social media, and other applications, with the ability to identify patterns and relationships in data from multiple input sources.
Domain Classification & Tags
Performance Profile
#performance_profileTypical read and write throughput, payload size and processing latency.
Read Performance Profile
Throughput: Up to 1 GB/s or 10,000 events/s per streaming unit (SU)
Payload Size: Varies, typically 100 bytes to 1 KB per event
Processing Latency: Sub-second to a few seconds
Write Performance Profile
Throughput: Up to 1 GB/s or 10,000 events/s per streaming unit (SU)
Payload Size: Varies, typically 100 bytes to 1 KB per event
Processing Latency: Sub-second to a few seconds
Architecture Diagram
#architecture_diagramReference diagram of the technology's internal architecture.
Features
#featuresCatalogued product capabilities and what each one does.
Empirical data for features is currently being compiled in the global catalog.
Typical Use Cases
#typical_use_casesScenarios the technology is commonly chosen for.
Empirical data for typical use cases is currently being compiled in the global catalog.
Known Customers
#known_customersPublicly referenced organisations using the technology.
Empirical data for known customers is currently being compiled in the global catalog.
Known Integrations
#known_integrationsOther products and services it is documented to work with.
Empirical data for known integrations is currently being compiled in the global catalog.
Connectors
#connectorsDirectional data connections to other technologies, with direction and maturity.
Empirical data for connectors is currently being compiled in the global catalog.
Reference Architectures
#reference_architecturesPublished architectures where the technology is used or mentioned.
No published reference architecture blueprints currently link to Azure Stream Analytics.
Security Features
#security_featuresBuilt-in security and access-control capabilities.
Empirical data for security features is currently being compiled in the global catalog.
Known Issues
#known_issuesDocumented limitations, defects and operational pitfalls.
Empirical data for known issues is currently being compiled in the global catalog.
Guidelines
#guidelinesRecommended practices for adopting and operating the technology.
Empirical data for guidelines is currently being compiled in the global catalog.
Standards & Compliance
#standards_and_complianceStandards, certifications and control requirements it maps to.
Empirical data for standards & compliance is currently being compiled in the global catalog.
Sources
#sourcesDocumentation and research references behind the recorded information.
Empirical data for sources is currently being compiled in the global catalog.
Expert Validation
#expert_validationWhether domain experts reviewed and confirmed the content.
Empirical data for expert validation is currently being compiled in the global catalog.