---
title: 'ParkMyAWS vs AWS Instance Scheduler'
description: 'AWS Instance Scheduler is free, but free has a price. A detailed comparison of features, setup time, and total cost of ownership versus a managed alternative.'
date: '2026-05-21'
readingTime: '7 min read'
---

## The Honest Comparison

AWS Instance Scheduler is the obvious starting point for anyone Googling how to schedule EC2 and RDS instances. It is free, AWS-supported, and well-documented. So why would anyone pay for an alternative?

The short answer: free is not the same as cheap. This post compares both options honestly, including the parts where AWS Instance Scheduler is the better choice. If you are deciding between the two, you should know what you are signing up for either way.

## What Each Tool Actually Is

**AWS Instance Scheduler** is a reference solution that AWS publishes as a CloudFormation template. It deploys a Lambda function, a DynamoDB table for schedule definitions, EventBridge rules, and a CloudWatch dashboard. You tag your EC2 and RDS instances with a schedule name, and the Lambda stops and starts them based on the schedule.

**ParkMyAWS** is a managed SaaS that connects to your AWS account via IAM role. You pick resources in a web UI, set schedules in a web UI, and it runs the schedules from our infrastructure. Nothing is deployed in your account except the IAM role.

Same outcome, very different operational model.

## Feature Comparison

| Feature                       | ParkMyAWS                | AWS Instance Scheduler              |
| ----------------------------- | ------------------------ | ----------------------------------- |
| Setup time                    | 5 minutes                | 2-4 hours per account               |
| Cost                          | Monthly subscription     | Free (Lambda + DynamoDB ~$2-10/mo)  |
| EC2 support                   | Yes                      | Yes                                 |
| RDS support                   | Yes                      | Yes                                 |
| Aurora support                | Yes                      | Limited                             |
| Multi-account                 | Built-in, single sign-on | Deploy per account                  |
| Multi-region                  | Built-in                 | Deploy per region                   |
| Schedule editing              | Web UI                   | DynamoDB items                      |
| Savings dashboard             | Yes                      | No                                  |
| Failure notifications         | Email, Slack             | CloudWatch alarm (DIY)              |
| 7-day RDS auto-start handling | Automatic                | Automatic                           |
| Audit log                     | Web UI                   | CloudWatch logs                     |
| Updates and maintenance       | Handled by us            | You update the CloudFormation stack |

## Where AWS Instance Scheduler Wins

Let us start with the cases where the free option is genuinely the right call.

**You have one AWS account in one region.** The deploy-per-account problem does not exist for you. CloudFormation is a one-time cost.

**You have a DevOps engineer who is comfortable with CloudFormation and DynamoDB.** Editing schedules in DynamoDB is not friendly, but if you are already there every day it is not a blocker either.

**Your security policy forbids granting IAM roles to third-party services.** This is a legitimate reason to choose self-hosted. We are not going to pretend otherwise.

**You only need a handful of static schedules that rarely change.** The friction of editing DynamoDB matters less if you set it once and forget it.

**Total cost of ownership matters less than line-item budget.** For some teams a $0 line item is easier to justify than a $50 SaaS subscription, even if the engineering time costs ten times that.

## Where ParkMyAWS Wins

The cases where the managed approach pays for itself many times over.

**Multiple AWS accounts.** AWS Instance Scheduler is per-account. Five accounts means five CloudFormation deployments, five sets of upgrades to manage, five places to check when something looks wrong. ParkMyAWS connects all of them with one IAM role per account and shows them in one dashboard.

**Schedules change regularly.** Editing a DynamoDB item to shift business hours from 8 AM to 9 AM is tedious. Doing it across multiple regions is worse. A web UI takes 10 seconds.

**You want to understand your savings estimate.** AWS Instance Scheduler does not track savings. You can build a dashboard yourself with Cost Explorer data, but you are not going to. ParkMyAWS shows your estimated avoided cost this month, last month, and over time.

**You want non-engineers to manage schedules.** Finance, ops, and PMs can edit a web UI. They are not going to edit DynamoDB.

**You want to be notified when something fails.** AWS Instance Scheduler logs failures to CloudWatch and that is it. Setting up alarms is more CloudFormation. We send you an email or a Slack message.

**You do not want to spend engineering time on this.** Every hour your team spends maintaining a scheduling solution is an hour not spent on your actual product.

## Total Cost of Ownership

This is where the comparison gets uncomfortable for the "free" option.

**AWS Instance Scheduler real costs:**

- Lambda invocations and DynamoDB reads: roughly $2-10 per month per account, by AWS's own estimate (it varies by Region — about $2/month in Frankfurt, closer to $10/month in us-east-1)
- Engineering time for initial deployment: 4-8 hours
- Engineering time for ongoing maintenance: 1-2 hours per month
- Engineering time when something breaks: 4-8 hours per incident
- CloudFormation drift fixes when AWS updates the solution: 2-4 hours per year

Count only the predictable work — deployment, routine maintenance, and drift fixes, ignoring incident response entirely — and that is roughly 18 to 36 engineering hours in the first year. At a fully-loaded cost of $150/hour, the "free" solution runs about **$2,700 to $5,400** for a single account before anything breaks. These are illustrative estimates rather than a quote, but the direction is the point: the line item reads $0 while the real first-year cost runs into the thousands. Multi-account deployments multiply it.

**ParkMyAWS real costs:**

- Subscription cost
- Initial setup time: 5-10 minutes per account
- Ongoing maintenance: zero

For a team running ten non-production EC2 instances and three non-production RDS databases — a small to medium deployment — typical savings are **$1,000 to $3,000 per month**. The subscription is a fraction of that. The engineering time saved goes back to building your product.

## The "We Already Built Our Own" Trap

A common scenario: a team built scheduling with Lambda and EventBridge a year ago. It mostly works. They are reluctant to throw it out.

Three questions worth asking:

1. **Who is the on-call for it?** If the answer is "the person who built it, and they are about to leave," you have a problem.
2. **When was the last time it failed silently?** If you are not sure, it has failed silently.
3. **What would you have to add to make it as good as a managed service?** Dashboards, notifications, multi-account, web UI for non-engineers, audit logs. Add up the hours.

The sunk cost is real, but the ongoing maintenance cost compounds. Most teams who built their own end up replacing it within two years.

## Making the Call

If you have a single account, a DevOps engineer with capacity, and no need for a savings dashboard or non-engineer access, **use AWS Instance Scheduler**. It is genuinely a solid solution for that case.

If you have multiple accounts, want a dashboard, want non-engineers to manage schedules, or simply do not want to spend engineering time on infrastructure that is not your product, **a managed [AWS Instance Scheduler alternative](https://parkmyaws.com/aws-instance-scheduler-alternative) like ParkMyAWS saves you money and time even after the subscription**.

Both options achieve the same outcome: your non-production instances stop running when nobody is using them. The right answer depends on what your team's time is worth, and whether you would rather pay AWS for idle instances or pay a SaaS to make sure you do not.
