What's the Difference Between AWS App Runner and AWS Fargate?

Compare AWS App Runner and AWS Fargate side by side — features, pricing, and ideal use cases to help you choose the right product.

View Compute category page

Compare side-by-side

Comparisons	AWS App Runner	AWS Fargate
Category	Compute, PaaS	Containers, Serverless Containers
Description	Build, deploy, and run containerized web applications and API services without prior infrastructure experience.	Serverless compute for containers. Run containers without managing servers or clusters.
Best for	Web applications API services Microservices Rapid prototyping	Microservices Batch processing ML inference Application migration
Key features	Automatic scaling Built-in load balancing TLS encryption VPC connectivity Source code deployment	No server management Isolation by design ECS & EKS compatible Spot capacity ARM support
Pricing model	Pay for compute and memory resources used	Pay for vCPU and memory per second
Free tier	No	No
Expert take	“App Runner is the fastest path from source code to a running HTTPS endpoint. It handles TLS, load balancing, and auto-scaling with zero infrastructure configuration. Use it when deployment speed matters more than fine-grained control.” — Didier Durand, re:Post Top Contributor [profile]	“Fargate removes the need to manage EC2 instances for your containers. Choose it when you want per-task isolation without worrying about patching hosts, right-sizing nodes, or bin-packing. You pay per-second for only the vCPU and memory each task uses.” — Didier Durand, re:Post Top Contributor [profile]
Product page	Learn more about AWS App Runner »	Learn more about AWS Fargate »

When to use AWS App Runner or AWS Fargate

Use AWS App Runner when:

Web applications
API services
Microservices
Rapid prototyping

Learn more about AWS App Runner »

Use AWS Fargate when:

Microservices
Batch processing
ML inference
Application migration

Learn more about AWS Fargate »

Next steps with AWS for Compute

Create a free account

Start building with AWS App Runner and AWS Fargate on the AWS Free Tier.

Get started with AWS App Runner

Build, deploy, and run containerized web applications and API services without prior infrastructure experience.

Go to AWS App Runner

Get started with AWS Fargate

Serverless compute for containers. Run containers without managing servers or clusters.

Go to AWS Fargate

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.

Did you find what you were looking for today?

Let us know so we can improve the quality of the content on our pages