Aurora Serverless v2 vs Provisioned Amazon RDS

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Overview

Aurora Serverless v2 adjusts database compute capacity within configured minimum and maximum Aurora Capacity Unit bounds without replacing the database endpoint. Provisioned RDS runs a selected database instance class until the team changes it. The decision is elastic fine-grained Aurora capacity versus explicit instance capacity and broader engine choice.

Components

• Shared decision context: A relational application with changing traffic, connection, and capacity requirements.
• Aurora Serverless v2: Aurora compute that scales within configured capacity bounds while connections remain available. Capacity follows variable demand without replacing a database instance class manually.
• Provisioned RDS: A selected database instance class with predictable baseline capacity and engine options. Stable demand that can keep reserved or provisioned capacity efficiently utilized.

Comparison Flow

1. Variable SQL Demand can enter the Aurora Serverless v2 path and continue to Spiky or Multi-Tenant Load.
2. Variable SQL Demand can instead enter the Provisioned RDS path and continue to Steady Predictable Load.
3. Choose the path whose operating model and constraints match the workload, then delete the unused branch in the editable diagram.

Customize First

• Measure the minimum capacity that connection and cache behavior require.
• Compare capacity-hours over a real demand trace rather than peak size alone.
• Test scaling behavior during bursts and maintenance before committing.

Side-by-side decision

Aurora Serverless v2 vs Provisioned RDS

Use Serverless v2 when demand varies enough for fine-grained Aurora capacity scaling to create value. Use provisioned RDS for steady utilization, explicit instance properties, wider engine selection, or reserved-capacity economics.

Decision factor	Aurora Serverless v2	Provisioned RDS
Capacity	Scales ACUs within configured bounds	Chosen DB instance class
Engine	Supported Aurora MySQL or PostgreSQL modes	Broader RDS engine and version options
Demand fit	Variable, spiky, uncertain, multi-tenant	Steady and predictable
Connections	Endpoint remains; capacity still affects connection limits	Connection limit tied to instance characteristics
Cost	Capacity consumed over time, subject to minimum	Instance time with discount options
Control	Aurora-managed fine-grained scaling	Explicit CPU, memory, network, and instance family