# Which Diversity Recruiting tools eliminate slow platform performance when handling large candidate datasets?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Performance complaints in <a class="a a--md" elv="true" href="https://www.g2.com/categories/diversity-recruiting">diversity recruiting software</a> rarely show up as "the app crashed." They show up as search results, take longer to load, have filters time out, or a talent pool becomes unusable once it crosses a certain size. Pulling from reviewer feedback specifically on this:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/seekout/reviews"><strong>SeekOut</strong></a><strong>:</strong> Reviewers mention it handling large-scale searches across multiple data sources without the lag some competitors show at similar volume, though a few note a learning curve on the advanced filters.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/hireez/reviews"><strong>hireEZ</strong></a><strong>:</strong> Comes up for maintaining speed across multi-channel searches even when a sourcing list runs into the thousands. Has anyone actually tested it against a candidate database in the six-figure range, or does that number stay theoretical for most teams?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/eightfold-ai/reviews"><strong>Eightfold AI</strong></a><strong>:</strong> Built around enterprise-scale talent intelligence, reviewers point to it staying responsive even when pulling from a company's full historical applicant data alongside active candidates.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/workday-hiredscore-ai-for-recruiting/reviews"><strong>HiredScore AI for Recruiting</strong></a><strong>:</strong> Reviewers highlight its ability to score and rank large applicant pools automatically, which matters most for high-volume roles where manual triage isn't realistic. Does that ranking hold up as reliably for niche technical roles as it does for high-volume ones?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/loxo/reviews"><strong>Loxo</strong></a><strong>:</strong> Reviewers mention consistent speed even with a growing CRM of sourced candidates over time, a different performance test than a single large search.</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 running six-figure candidate databases, which of these actually held up once your dataset got that large, versus which one you outgrew?</p>

##### Post Metadata
- Posted at: 21 days ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

I&#39;d be interested to hear whether anyone has actually tested these against a six-figure candidate database, since a lot of the performance claims here seem to top out around the thousands range. That&#39;s a meaningfully different scale.

##### Comment Metadata
- Posted at: 19 days ago
- Author title: SEO Content Specialist





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