# Which AEM tools scale without proportional increases to IT team size or complexity as device counts grow?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">There’s a pattern I keep noticing. As device counts grow, complexity usually grows with it. That’s almost expected. But the whole point of <a class="a a--md" elv="true" href="https://www.g2.com/categories/autonomous-endpoint-management-aem">AEM tools</a> is to break that relationship.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">So I’ve been trying to understand which tools actually scale without increasing IT team size or operational complexity at the same pace.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A few that seem designed around that idea:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/action1/reviews"><strong>Action1</strong></a><strong>:</strong> Cloud-based and lightweight, which reduces the need for additional infrastructure.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/ninjaone/reviews"><strong>NinjaOne</strong></a><strong>:</strong> Consolidates multiple workflows into one system, reducing tool sprawl.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/atera/reviews"><strong>Atera</strong></a><strong>:</strong> Technician-based pricing model changes how scaling impacts cost and team structure.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/automox/reviews"><strong>Automox</strong></a><strong>:</strong> Uses automation policies to manage patching across larger fleets.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/splashtop-autonomous-endpoint-management/reviews"><strong>Splashtop AEM</strong></a><strong>:</strong> Simplifies remote endpoint management, especially in distributed environments.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams that have scaled significantly, what actually kept things manageable over time?</p>

##### Post Metadata
- Posted at: 3 months ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;Config count usually grows from exceptions granted rather than from new requirements. Every &quot;just this one machine&quot; becomes a permanent policy nobody revisits.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: Tech Consultant



### Comment 2

&lt;p&gt;&lt;span style=&quot;color: rgb(0, 0, 0);&quot;&gt;Same two, ManageEngine Endpoint Central and Pulseway, both manage growing device counts without a linear rise in admin overhead. The real scaling risk is policy sprawl as device counts grow, so ask how each handles policy templating, not just raw device limits.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 month ago



### Comment 3

&lt;p&gt;What I&#39;ve seen decide this is that the number which really grows isn&#39;t device count, it&#39;s the number of distinct configurations you&#39;re maintaining. Five hundred identical laptops is one policy repeated five hundred times. Two hundred machines across a dozen software baselines, three OS versions and a few departments with their own exceptions is twelve policies that all drift separately, and that&#39;s where the extra headcount actually goes. So the question I&#39;d put to anyone who has scaled is whether their config count stayed flat while devices grew, because that ratio is the thing a tool either holds for you or doesn&#39;t.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: Tech Consultant



### Comment 4

&lt;p&gt;The technician-based pricing Atera uses is genuinely interesting to me. Has anyone modelled it against per-device costs at around the 500 endpoint mark to see where it tips?&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Marketing Executive





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