TL;DR: Before choosing patch management software, make sure it fits your deployment model, supports the operating systems and applications you actually manage, and gives you enough inventory data to target and confirm updates. PDQ is designed for teams managing Windows and macOS devices, including off-network endpoints. Test application coverage, rollout controls, remote behavior, reporting, and the total cost of the plan you need before you buy.
A patch management tool should make it easy to find outdated software, target the right devices, deploy updates, and confirm what actually installed. If those steps require separate tools, exports, or manual device matching, your patching process will create more work than it removes.
What should you ask before buying patch management software?
Before you compare patch management tools, make sure they can support your environment, your software, and the way your team actually works. Consider these factors:
Deployment model. Can the platform operate cloud-managed, or does it require on-premises infrastructure? Which of your endpoints are routinely off-network, and what connectivity or agent requirements can you actually support? A VPN-dependent solution won't help laptops that haven't touched the corporate network since Q2 of last year.
Actual software coverage. Which operating systems, application versions, architectures, and installation types do you need? Don't take catalog claims at face value. Bring your own application inventory to the evaluation and test against it.
Inventory integration. Can the same device data identify outdated software, define deployment targets, and show whether the update succeeded? Or are you exporting from one tool, reconciling device names in a spreadsheet, uploading targets elsewhere, and manually comparing results?
Establish nonnegotiable requirements before comparing prices or catalog sizes. A low price cannot compensate for an unsupported critical application or an unacceptable deployment model.
Why should patching, deployment, and inventory work together?
Patching, deployment, and inventory should work together because they rely on the same device data. Your inventory should identify what needs attention, deployment should act on that data, and updated inventory should confirm whether the change worked.
Consider a team managing 500 endpoints. A commonly used application needs updating, some laptops are off-network, and one department requires a separately configured package.
You need to identify affected devices, separate pilot from production targets, update existing installations, deploy the custom package where appropriate, and verify the resulting device state. Each step gets harder when your tools don't share the same device data.
That shared device data also matters because patching and software deployment are not quite the same task. Updating an existing application requires version detection, while deploying a new application requires installation-state awareness. Both depend on accurate targeting.
PDQ handles this through inventory-based dynamic groups and package automations. Dynamic groups reflect saved criteria as device data changes. Automations can target devices or groups with prebuilt or custom packages. Inventory identifies the need, deployment performs the change, and refreshed inventory verifies the result.
This isn't unique to PDQ. A well-integrated existing stack might meet your requirements. But if you're stitching together exports and manually reconciling device data between tools, you're adding administrative work to every patching cycle.
Automate patching with PDQ Connect
Keep Windows & macOS devices patched and secure from the cloud.
Which capabilities deserve a hands-on test?
Don't evaluate patch management software against a feature matrix. Test it against the applications, devices, and workflows your team actually manages.
Third-party patching depth
Test business-critical applications, not just vendor demo apps. Check update availability, silent installation support, architecture handling, version selection, and installation context.
According to PDQ's 2026 State of Sysadmin report, 51% of respondents said timely patch implementation takes too much time. The survey does not show how much of that work remains after automation, so test whether the platform actually reduces the effort or simply moves it somewhere else.
Controlled automation
Test pilot groups, version holds, deployment timing, reboot behavior, and what happens when a device misses a scheduled run. Ask how the platform handles failed or problematic updates, and make sure your team has a documented recovery process before you automate broadly.
Evidence and administrative control
Ask for reporting that distinguishes installed, failed, pending-reboot, and stale or unknown states. Check permissions, audit history, exportability, and data freshness. A submitted deployment is not the same thing as a verified outcome.
When is PDQ the right fit?
PDQ is a strong candidate when you want cloud-managed patching, deployment, and inventory for Windows and macOS devices, including off-network endpoints. Its remote device management requires the agent and internet connectivity, not a VPN connection to an on-premises management server.
The workflow we've been discussing maps directly to how PDQ operates: Use inventory to select affected devices, deploy maintained or custom packages, and inspect the result through refreshed inventory and reports. For Windows custom work, PDQ supports PowerShell script steps in packages. Plus and Premium also include custom scanners, including PowerShell scanners for collecting inventory data.
PDQ is built for cloud-managed Windows and macOS environments. For automated patching, look at the Plus or Premium plans.
If your environment has different requirements, other PDQ products may be a better fit. PDQ Deploy & Inventory support on-premises and air-gapped Windows environments, while SimpleMDM provides Apple MDM functionality.
What should you include in a patch management budget?
Patch management costs include more than the software subscription. Budget for the plan that supports the features you need, then account for onboarding, package maintenance, scripting, reporting, support, and other operational costs that may vary by platform.
Use current PDQ pricing to estimate software costs and account for any applicable volume discounts.
When comparing vendors, compare the plans and capabilities your environment actually requires, along with the ongoing administrative effort needed to manage them.
Run a representative pilot before you sign
A 25 to 50 device pilot won't prove performance at scale, but it validates the workflow. Select deliberately: Include remote devices, a device that will miss its maintenance window, and representative application configurations across your environment.
Perform three tests:
A real application update. Pick something already installed across your pilot group. Target affected devices using inventory, deploy the update, and verify installed versions afterward.
A new software deployment. Deploy something that isn't already present. Confirm the targeting logic works for devices that need the software versus devices that already have it or shouldn't get it.
A custom package or scripting task. Test the workflow for software that isn't in the vendor's maintained library. Measure how long it takes to build, test, and deploy.
Then verify outcomes using refreshed inventory and reports. Measure hands-on administrative time, failure investigation effort, and the number of endpoints whose state remains unverified. Don't hide offline devices by counting only reachable endpoints as your evaluation population.
Buyer scorecard
Use this as an example weighting model, adjusting for your environment.
Evaluation area | Weight | What to demonstrate |
|---|---|---|
OS and application coverage | 25% | Required applications work on your actual operating systems, architectures, and installation types. |
Inventory-driven deployment | 20% | Identify affected devices, target an update, and verify results without manually rebuilding target lists. |
Controlled automation | 20% | Demonstrate pilot targeting, version control, reboot behavior, missed-run handling, and a recovery process. |
Remote reach and onboarding | 10% | Enroll representative devices and test off-network operation and reconnection behavior. |
Reporting and administrative controls | 10% | Show usable exports, clear failure and stale-data states, appropriate permissions, and audit evidence. |
Total cost and ongoing effort | 15% | Price the required tier and measure manual work for package maintenance, failure resolution, and reporting. |
Score each category 0–5:
0 means unavailable or unproven
3 means demonstrated with material manual work
5 means demonstrated with acceptable effort and controls
Weighted score = sum of (each category's weight × its score) ÷ 5.
For example, if a platform scores 4 for OS and application coverage, 5 for inventory-driven deployment, 4 for controlled automation, 3 for remote reach and onboarding, 4 for reporting and administrative controls, and 3 for total cost and ongoing effort:
Weighted score = (25×4 + 20×5 + 20×4 + 10×3 + 10×4 + 15×3) ÷ 5 = 79
That gives the platform a weighted score of 79 out of 100.
Treat mandatory coverage, deployment-model, and security requirements as pass/fail gates. A high average cannot compensate for failing a nonnegotiable requirement. Don't prefill any vendor's scores; run the actual tests.
Run this scorecard against your own devices in a free PDQ trial. Test a real application update and the inventory report that shows what changed.
