What's the Difference Between AWS Trusted Advisor and AWS Well-Architected Tool?

Compare AWS Trusted Advisor and AWS Well-Architected Tool 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 Trusted Advisor	AWS Well-Architected Tool
Category	Management & Governance, Optimization advisory	Management & Governance, Best Practices
Description	Online resource to help you reduce cost, increase performance, and improve security by optimizing your AWS environment.	Review the state of your workloads against architectural best practices and get improvement guidance.
Best for	Cost optimization Performance improvement Security recommendations Fault tolerance Service limits	Architecture review Best practices assessment Risk identification Improvement planning
Key features	Cost optimization checks Security checks Performance checks Fault tolerance checks Service limit checks	Workload reviews Custom lenses Improvement plans Milestone tracking Dashboard
Pricing model	Basic checks free; full checks with Business/Enterprise Support	No additional charge
Free tier	Yes	Yes
Expert take	“Trusted Advisor is the quickest way to find unused resources, idle instances, and security gaps. The free tier covers core security checks and service limit warnings. With Business or Enterprise Support, you unlock all 300+ checks including cost optimization recommendations that typically pay for the support plan itself.” — Didier Durand, re:Post Top Contributor [profile]	“The Well-Architected Tool runs framework reviews against your workloads and generates improvement plans. It tracks remediation progress across reliability, security, cost, performance, and sustainability.” — Didier Durand, re:Post Top Contributor [profile]
Product page	Learn more about AWS Trusted Advisor »	Learn more about AWS Well-Architected Tool »

When to use AWS Trusted Advisor or AWS Well-Architected Tool

Use AWS Trusted Advisor when:

Cost optimization
Performance improvement
Security recommendations
Fault tolerance
Service limits

Learn more about AWS Trusted Advisor »

Use AWS Well-Architected Tool when:

Architecture review
Best practices assessment
Risk identification
Improvement planning

Learn more about AWS Well-Architected Tool »

Next steps with AWS for Management & Governance

Create a free account

Start building with AWS Trusted Advisor and AWS Well-Architected Tool on the AWS Free Tier.

Get started with AWS Trusted Advisor

Online resource to help you reduce cost, increase performance, and improve security by optimizing your AWS environment.

Go to AWS Trusted Advisor

Get started with AWS Well-Architected Tool

Review the state of your workloads against architectural best practices and get improvement guidance.

Go to AWS Well-Architected Tool

AWS product 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 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 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.

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.

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