Amazon Q Developer vs GitHub Copilot

Amazon Q Developer and GitHub Copilot both give your team AI coding help inside popular IDEs. The split is ecosystem. Amazon Q is AWS-native, with deep ties to AWS services, security scanning, and code modernization. Copilot is GitHub-native and cloud-agnostic.

TL;DR decision rule: if your team lives in AWS and does a lot of AWS work, migrations, or Java upgrades, choose Amazon Q. If your team is GitHub-centric or multi-cloud and wants the largest ecosystem, choose Copilot.

This page compares the two for a business buyer, focused on pricing, integration, security, and admin controls. All pricing is as of July 2026 and can change; confirm on the vendor pages before you buy.

Amazon Q Developer vs. GitHub Copilot: Side-by-Side

Amazon Q's AWS-native strengths

Amazon Q Developer is built for teams working in AWS, and that shapes its whole feature set. It integrates deeply with AWS services and works across VS Code, JetBrains, the CLI, and the AWS console. That reach is a real advantage if your infrastructure lives in AWS.

Its standout capabilities lean toward operations and modernization. Amazon Q includes code transformation for upgrades, such as Java version modernization, plus security scanning and agentic tasks in the IDE and CLI.

GitHub Copilot is cloud-agnostic and does not favor any one cloud. It shines on GitHub-centric workflows and offers agent mode and a broad model catalog, but it does not carry Amazon Q's built-in AWS operations and modernization features.

• Amazon Q: deep AWS integration across IDEs, CLI, and console.
• Amazon Q: code transformation, security scanning, agents.
• Copilot: cloud-agnostic, GitHub-centric, broad model catalog.

Pricing for teams

Both tools price their paid team tier at $19 per user per month, so the entry cost is a wash. Amazon Q Developer Pro is $19 per user per month, and Copilot Business is $19 per user per month.

The free tiers differ. Amazon Q has a generous perpetual free tier with monthly limits, including unlimited inline completions plus a set number of agentic tasks and lines of code transformation. Copilot has a free individual tier with lighter limits.

Copilot Enterprise adds a higher $39 tier for teams needing more, while Amazon Q Pro keeps a single paid tier with higher limits than the free plan. Pilot your real usage before forecasting spend, since agentic features can consume limits quickly.

• Amazon Q Pro: $19/user/mo; strong perpetual free tier.
• Copilot Business: $19/user/mo; Enterprise $39.
• Both free tiers have monthly usage limits.

→ Compare per-token pricing for every AI model

Security, IP, and data handling

Both tools protect business code and offer IP indemnity on their paid tiers. Amazon Q Developer Pro does not use your inputs to train models, includes IP indemnity, and runs within AWS with account-level controls. Copilot Business and Enterprise data is not used to train GitHub models.

Copilot adds a duplication filter that enables IP indemnity for unmodified suggestions and suppresses matches against public code. Amazon Q adds built-in security scanning that flags vulnerabilities as you code.

For AWS shops, Amazon Q's alignment with existing AWS security and identity is a plus. For others, Copilot's protections live inside the GitHub tooling teams already trust.

• Amazon Q Pro: no training on inputs; IP indemnity.
• Copilot Business/Enterprise: no training on your code.
• Amazon Q includes built-in security scanning.

Enterprise and admin controls

Each tool anchors admin controls in its home ecosystem. Amazon Q supports SSO through IAM Identity Center and manages users and policies with AWS enterprise access controls. Copilot provides org policy management, audit logs, and central seat management through GitHub.

That means the smoother choice often follows where your identity already lives. AWS-centric orgs get least-friction admin with Amazon Q. GitHub-centric orgs get it with Copilot.

Amazon Q Pro also lets you customize suggestions to your own code base for better results, which suits larger AWS teams with big internal repositories.

Who each is best for

Amazon Q Developer is best for AWS-heavy shops, especially those doing cloud migrations, Java and framework upgrades, or security-sensitive AWS work. Its native integration and modernization tools pay off most there.

GitHub Copilot is best for GitHub-centric and multi-cloud teams that want the largest ecosystem, agent mode, and a broad model catalog without tying to one cloud.

If AWS is your center of gravity, Amazon Q usually wins. If GitHub is, or you are cloud-agnostic, Copilot is the easier default. Many teams trial both against real tasks before standardizing.

Rollout and total cost of ownership

Both tools are quick to roll out because each installs into IDEs your team already uses. Copilot leans on GitHub identity and org tooling, while Amazon Q leans on IAM Identity Center and AWS account controls. The smoother rollout usually follows wherever your identity already lives.

On cost, both paid tiers are $19 per user per month, but usage patterns matter. Amazon Q's free tier is generous enough that some smaller teams start there and only upgrade for enterprise controls and higher limits. Copilot's free tier is lighter, so paid Business is often the real starting point for teams.

The honest way to compare total cost is a short pilot on real repositories. Measure accepted suggestions, rework, and how quickly agentic features consume limits. Include the identity and admin setup effort, since that is where hidden rollout cost usually hides.

• Copilot admin lives in GitHub; Amazon Q in IAM Identity Center.
• Both paid tiers are $19/user/mo; free tiers differ in generosity.
• Pilot on real repos and include admin setup in the cost.

→ Compare per-token pricing for every AI model

The Verdict

Amazon Q Developer wins for AWS-heavy organizations. Its deep AWS integration, code transformation for upgrades, built-in security scanning, and IAM Identity Center SSO make it the natural fit when your infrastructure and identity already live in AWS. Its generous free tier also lowers the trial cost.

GitHub Copilot wins for GitHub-centric and multi-cloud teams. It is cloud-agnostic, sits inside the GitHub workflow, offers agent mode and a broad model catalog, and adds IP indemnity through the duplication filter. For teams not anchored to AWS, it is the more flexible default.

Both cost $19 per user per month at the paid tier, so pick on ecosystem fit, not price. Match the tool to where your code, identity, and infrastructure already live, then confirm with a short pilot on your real workload.