Industrial IoT & Manufacturing Analytics
Azure IoT
Microsoft cloud IoT and analytics portfolio
- SF Score
- 8.0/10
- Pricing
- Contact sales
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2 of 4 tools selected
Industrial IoT & Manufacturing Analytics
AWS IoT SiteWise
AWS managed industrial IoT data service
- SF Score
- 7.9/10
- Pricing
- Contact sales
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Compare features, strengths, trade-offs, and best-fit use cases.
Comparing
Where each one leads
Read straight from the published figures below — not a ranking, and not a recommendation.
Highest SF Score
Azure IoT8.0/10
2 of 2 are scored
At a glance
The short version
The facts each tool publishes, lined up so you can scan down a column. Anything the catalog does not establish is marked as such rather than counted against the tool.
Azure IoT
- SF Score
- 8.0 / 10
- Free plan
- Not offered
- Category
- AI Maintenance, CMMS & Asset Reliability Software › Industrial IoT & Manufacturing Analytics
AWS IoT SiteWise
- SF Score
- 7.9 / 10
- Free plan
- Not offered
- Category
- AI Maintenance, CMMS & Asset Reliability Software › Industrial IoT & Manufacturing Analytics
Key differences
Where these tools actually diverge
The decision dimensions that separate this set, with each tool's own position stated plainly. No winner is declared — fit depends on your workflow.
Positioned for
Azure IoT
Industrial IoT & Manufacturing Analytics
AWS IoT SiteWise
Industrial IoT & Manufacturing Analytics
Pricing model
Azure IoT
Contact sales
AWS IoT SiteWise
Contact sales
SoftFinders Score
Azure IoT
8.0 / 10
AWS IoT SiteWise
7.9 / 10
Feature comparison
Capability matrix
Grouped by area. Every state carries a word as well as a colour, and anything the catalog has not established stays neutral rather than counting as a missing feature.
1 row differs 3 identical
| Capability | | |
|---|---|---|
| Overview | ||
| SF Score | 8.0 / 10Value | 7.9 / 10Value |
| Pricing model | CustomValue | CustomValue |
| Free plan | No | No |
| Category | AI Maintenance, CMMS & Asset Reliability Software › Industrial IoT & Manufacturing AnalyticsValue | AI Maintenance, CMMS & Asset Reliability Software › Industrial IoT & Manufacturing AnalyticsValue |
Scroll the matrix sideways to see every column.
Listed by one tool only
13 capabilities are published by a single tool in this set. That does not mean the others lack them — only that the catalog has not established an answer either way.
- IoT HubManages devices and messages at scale
- Digital TwinsModels real world assets and relationships
- IoT OperationsEdge platform for industrial OT data
- Azure IntegrationConnects with the wider Azure ecosystem
- Asset ModelsDefine asset and process hierarchies easily
- OPC UANative OPC UA gateway for connectivity
- Managed ServiceFully managed by AWS at scale
- Edge CapabilityRuns at the edge near assets
- Time SeriesStores high volume time series data
- Industrial Data TransformationsConverts raw measurements using mathematical expressions
- AWS IntegrationLinks to other AWS analytics services
- Edge Data APIsProvides local APIs for deployed asset data
- Offline Data OperationContinues collection during internet outages
Use cases
What each tool is built for
The workflows each tool publishes for itself. Cards appear only for tools that list use cases.
Azure IoT
- Connect industrial devices to cloud
- Build digital twins of operations
- Run edge platforms with operations
- Combine IoT with Azure analytics
- Support manufacturing digital transformation programs
+1 more on the Azure IoT profile
AWS IoT SiteWise
- Build managed industrial data layer
- Model assets and processes cleanly
- Connect OPC UA to cloud
- Combine with downstream AWS analytics
Pros & cons
Strengths and compromises
Each tool's published strengths and the compromises that come with them, as supplied — not scored or ranked against each other. Longer lists fold; nothing is left out.
Azure IoT
Pros
- Broad portfolio across IoT analytics and AI
- Native fit with Azure data and analytics ecosystem
- Strong vendor backing across enterprise customers worldwide
- Supports open MQTT and OPC UA standards
Cons
- Broad portfolio rather than packaged predictive product
- Needs partner support for many smaller plants
- Pricing depends on consumption across many services
- Azure IoT is a multi-service portfolio
- Usage-based pricing varies by service
AWS IoT SiteWise
Pros
- Fully managed industrial data layer on AWS
- Native links into AWS analytics and AI services
- Strong fit for AWS standardized industrial customers
- Supports OPC UA and MQTT ingestion
- Provides local edge processing capabilities AWS Documentation
- Integrates deeply with AWS services
- Supports hierarchical industrial asset modeling
Cons
- Pricing depends on AWS consumption and metering
- Needs cloud strategy and engineering capacity in house
- Less natural for plants without cloud commitment
- Usage-based pricing can become complex
- SiteWise Monitor unavailable to new customers
- Edge deployments require supported gateway infrastructure
- Edge Gateway Network Requirements
- Firewall Configuration Requirements
Pricing
What each one costs
Published pricing signals only. Where a tool has not established a price, that is what it says — never a zero and never "free".
Azure IoT
- Model
- Custom
Contact Sales
See full pricingAWS IoT SiteWise
- Model
- Custom
Contact Sales
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