# Which sensitive data discovery platforms have minimal performance impact during scanning and strong support?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Hey G2 community, we're looking at which sensitive data discovery platforms scan with minimal performance impact and still bring strong support. The goal is coverage that doesn't slow production systems or leave you waiting on help when something breaks. What we're hoping to find:</p><ul>
<li>Scanning that doesn't drag down production or endpoints</li>
<li>Support that responds fast and actually resolves issues</li>
<li>Setup that doesn't need weeks of tuning</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A few from the<a class="a a--md" elv="true" href="https://www.g2.com/categories/sensitive-data-discovery"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/sensitive-data-discovery">sensitive data discovery</a> category:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/nightfall-ai/reviews"><strong>Nightfall AI</strong></a>: reviewers describe a lightweight, mostly agentless setup that just works, with most praising responsive support.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/egnyte/reviews"><strong>Egnyte</strong></a>: praised for helpful onboarding and support, though reviewers note bulk uploads can slow depending on connection.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/safetica/reviews"><strong>Safetica</strong></a>: real-time data loss prevention with audit-ready reports, though reviewers flag slow support response and some lag on large file moves.</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 these at scale, which kept scanning light on resources? And whose support actually came through during an incident?</p>

##### Post Metadata
- Posted at: 15 days ago
- Author title: Marketer
- Net upvotes: 1


## Comments
### Comment 1

Nightfall AI’s mostly agentless approach is interesting because scanning overhead can become a very different problem once coverage expands across more systems. I’d want to understand performance during the initial discovery scan versus ongoing monitoring, since those workloads can behave quite differently. Have teams seen resource usage stay consistent as the amount of data being monitored grows?

##### Comment Metadata
- Posted at: 15 days ago
- Author title: Writer





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: over 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: over 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: over 13 years ago
  - Comments: 4