What's the Difference Between AWS IoT FleetWise and AWS IoT SiteWise?

Compare AWS IoT FleetWise and AWS IoT SiteWise side by side — features, pricing, and ideal use cases to help you choose the right product.

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Compare side-by-side

Comparisons	AWS IoT FleetWise	AWS IoT SiteWise
Category	Application Integration, Vehicle IoT	Application Integration, Industrial IoT
Description	Collect, transform, and transfer vehicle data to the cloud in near real time.	Collect, store, organize, and monitor data from industrial equipment at scale.
Best for	Connected vehicles Fleet analytics Vehicle diagnostics Autonomous driving data	Industrial monitoring Equipment performance Operational dashboards Predictive maintenance
Key features	Vehicle modeling Edge agent Intelligent data collection Campaign management Signal catalog	Asset modeling Data ingestion SiteWise Monitor Edge gateway Computed metrics
Pricing model	Pay per vehicle connected + messages collected	Pay per messages + data points stored + computations
Free tier	No	Yes
Expert take	“FleetWise collects vehicle data at scale with edge-to-cloud transfer. It normalizes signals from different vehicle models into a common schema for analytics.” — Riku Kobayashi, re:Post Top Contributor [profile]	“SiteWise collects and organizes industrial equipment data with built-in asset models. It computes metrics like OEE at the edge and stores time-series data for dashboards.” — Gary McLean, re:Post Top Contributor [profile]
Product page	Learn more about AWS IoT FleetWise	Learn more about AWS IoT SiteWise

When to use AWS IoT FleetWise or AWS IoT SiteWise

Use AWS IoT FleetWise when:

Connected vehicles
Fleet analytics
Vehicle diagnostics
Autonomous driving data

Learn more about AWS IoT FleetWise

Use AWS IoT SiteWise when:

Industrial monitoring
Equipment performance
Operational dashboards
Predictive maintenance

Learn more about AWS IoT SiteWise

Next steps with AWS for Application Integration

Create a free account

Start building with AWS IoT FleetWise and AWS IoT SiteWise on the AWS Free Tier.

Get started with AWS IoT FleetWise

Collect, transform, and transfer vehicle data to the cloud in near real time.

Go to AWS IoT FleetWise

Get started with AWS IoT SiteWise

Collect, store, organize, and monitor data from industrial equipment at scale.

Go to AWS IoT SiteWise

AWS service comparisons

What's the difference between Amazon Aurora and Amazon RDS?

Both are fully managed relational database services on AWS, but Aurora is a cloud-native engine built for higher performance and availability, while RDS gives you familiar open-source and commercial engines with less operational overhead than self-managed.

What's the difference between Amazon DynamoDB and Amazon RDS?

DynamoDB is a serverless NoSQL database for applications with well-defined access patterns that need consistent single-digit millisecond performance. RDS is a managed relational database for applications that need SQL, joins, and transactional integrity across multiple engines.

What's the difference between Amazon DynamoDB and Amazon Keyspaces?

Both are fully managed, serverless-capable NoSQL databases on AWS. DynamoDB is AWS-native with its own API and data model; Keyspaces is Apache Cassandra-compatible, letting you use existing Cassandra drivers, tools, and expertise.

What are the differences between Amazon DynamoDB and Amazon DocumentDB?

Both are fully managed NoSQL databases on AWS, but they serve different data models. DynamoDB is a key-value store optimized for known access patterns at massive scale; DocumentDB is a document database for flexible JSON schemas with MongoDB compatibility.

What's the difference between Amazon DocumentDB and Amazon Neptune?

Both handle semi-structured data, but they're optimized for different query patterns. DocumentDB stores and queries JSON documents; Neptune stores and traverses relationships between entities.

What's the difference between Amazon Aurora and Amazon DynamoDB?

Both are fully managed AWS database services, but they serve fundamentally different data models and access patterns. Aurora is a relational database for structured data with relationships; DynamoDB is a NoSQL key-value store built for single-digit millisecond performance at any scale.

What's the difference between Amazon RDS and Amazon Redshift?

Both run SQL queries, but they're optimized for fundamentally different workloads. RDS handles transactional operations (inserts, updates, lookups) for your application. Redshift handles analytical queries (aggregations, scans, joins across billions of rows) for your data team.

What's the difference between Amazon Aurora and Amazon Neptune?

Both are purpose-built, fully managed AWS databases, but they solve fundamentally different problems. Aurora handles structured relational data with SQL; Neptune handles highly connected data where relationships between entities are the primary query pattern.

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