What's the Difference Between AWS Budgets and AWS Compute Optimizer?

Compare AWS Budgets and AWS Compute Optimizer 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 Budgets	AWS Compute Optimizer
Category	Management & Governance, Cost Management	Management & Governance, Optimization
Description	Set custom cost and usage budgets and receive alerts when you exceed your thresholds.	Recommendation engine that analyzes usage to optimize cost and performance
Best for	Cost tracking Budget alerts Reserved Instance utilization Savings Plans tracking	Right-sizing Cost optimization Performance improvement Resource planning
Key features	Custom budgets Email & SNS alerts Budget actions Forecasting RI/SP coverage tracking	EC2 recommendations EBS recommendations Lambda recommendations Auto Scaling group recommendations Enhanced infrastructure metrics
Pricing model	First 2 budgets free; then per budget per month	No additional charge for default recommendations
Free tier	Yes	Yes
Expert take	“Budgets alerts you before costs exceed thresholds. Custom budgets can trigger Lambda actions for automated responses like stopping instances or restricting IAM permissions.” — Riku Kobayashi, re:Post Top Contributor [profile]	“Compute Optimizer analyzes utilization metrics and recommends right-sized instance types. It considers CPU, memory, network, and storage patterns over 14 days to suggest savings.” — Giovanni Lauria, re:Post Top Contributor [profile]
Product page	Learn more about AWS Budgets »	Learn more about AWS Compute Optimizer »

When to use AWS Budgets or AWS Compute Optimizer

Use AWS Budgets when:

Cost tracking
Budget alerts
Reserved Instance utilization
Savings Plans tracking

Learn more about AWS Budgets »

Use AWS Compute Optimizer when:

Right-sizing
Cost optimization
Performance improvement
Resource planning

Learn more about AWS Compute Optimizer »

Next steps with AWS for Management & Governance

Create a free account

Start building with AWS Budgets and AWS Compute Optimizer on the AWS Free Tier.

Get started with AWS Budgets

Set custom cost and usage budgets and receive alerts when you exceed your thresholds.

Go to AWS Budgets

Get started with AWS Compute Optimizer

Recommendation engine that analyzes usage to optimize cost and performance

Go to AWS Compute Optimizer

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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