# Non-Graviton RDS instance on eligible workload

Canonical: https://www.pointfive.co/efficiency-hub/inefficiencies/non-graviton-rds-instance-on-eligible-workload

Many RDS workloads continue to run on older x86 instance types (e.g., db.m5, db.r5) even though compatible Graviton-based options (e.g., db.m6g,...

By: Loïc Fournier

Updated: 2026-09-28

[Cloud Efficiency Hub](https://www.pointfive.co/efficiency-hub) 

# Non-Graviton RDS Instance on Eligible Workload

The short version

Many RDS workloads continue to run on older x86 instance types (e.g., db.m5, db.r5) even though compatible Graviton-based options (e.g., db.m6g, db.r6g) are widely available.

[Loïc Fournier](https://www.linkedin.com/in/loicfournier/)

Senior TAM @ Amazon Web Services

AWS service

[AWS RDS](https://www.pointfive.co/efficiency-hub/cloud-services/aws-rds)

Category

[Databases](https://www.pointfive.co/efficiency-hub/service-category/databases)

Reference

CER-0119

Type

Suboptimal Tier or SKU

## Explanation

Why the waste happens and who it affects.

These newer families deliver improved performance per vCPU and lower hourly costs, yet are often not adopted due to legacy defaults, inertia, or lack of awareness.When workloads are not tightly bound to architecture-specific extensions (e.g., x86-specific binaries or drivers), switching to Graviton typically requires no application changes and results in immediate savings. Persisting with x86 in eligible use cases results in avoidable overpayment for compute.

## Billing model

The pricing dimensions that drive this cost.

RDS is billed per second, with a 10-minute minimum after a billable status change, based on:

- Instance family and size

- Storage and backup usage

Graviton-based instances offer 20-40% better price-performance and can lower compute costs significantly for compatible workloads.

## How to detect

4 checks to find it in your estate.

- List all active RDS for MySQL, MariaDB, and PostgreSQL instances and identify those using x86-based families (db.m5, db.r5, etc.) - RDS for SQL Server, Oracle, and Db2 do not support Graviton instance classes

- Cross-reference instance types with available Graviton equivalents for the same engine

- Use Compute Optimizer (where available) or performance data to validate compatibility

- Identify workloads with steady, general-purpose usage patterns that would benefit from Graviton

## How to fix

4 ways to remove the waste.

- Evaluate performance requirements and test Graviton-backed RDS instances in staging

- Modify instance class to a db.\*g Graviton-based equivalent (e.g., db.r6g.large)

- Update infrastructure templates (e.g., Terraform, CloudFormation) to default to Graviton where applicable

- Revisit instance family selections during each modernization, upgrade, or cost review cycle

## Documentation

Vendor references for pricing and configuration.

- [Supported DB engines for DB instance classes - Amazon RDS  docs.aws.amazon.com](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.DBInstanceClass.Support.html)

- [What is AWS Compute Optimizer?  docs.aws.amazon.com](https://docs.aws.amazon.com/compute-optimizer/latest/ug/what-is-compute-optimizer.html)

## Related inefficiencies

[Browse the library](https://www.pointfive.co/efficiency-hub)

- AWS RDS  CER-0323

### [RDS SQL Server Running Bundled Licensing on Older Instance Families](https://www.pointfive.co/efficiency-hub/inefficiencies/rds-sql-server-running-bundled-licensing-on-older-instance-families)

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- AWS RDS  CER-0322

### [Non-Production RDS SQL Server Using Standard or Enterprise Edition Instead of Developer Edition](https://www.pointfive.co/efficiency-hub/inefficiencies/non-production-rds-sql-server-using-standard-or-enterprise-edition-instead-of-developer-edition)

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- AWS RDS  CER-0320

### [Excess vCPU Licensing Costs on RDS for SQL Server Instances](https://www.pointfive.co/efficiency-hub/inefficiencies/excess-vcpu-licensing-costs-on-rds-for-sql-server-instances)

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Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.

