# What are you doing to cope with slow performance on large data sets and in the cloud?

As our usage of M-Files grows, I am noticing more friction tied to speed. Large files can take a while to sync, searches or views over heavy data sometimes lag, and working against the cloud feels noticeably slower than what my team was used to before.
Most of the time it is tolerable, but when I am trying to pull up documents during a live client call or move through a big batch of files on a tight deadline, those extra seconds add up and break my flow. It is awkward having to stall on a call because a document is still loading.
I also see a bigger impact when the connection is less than perfect, where things can briefly feel like they have stalled completely. That leaves me nervous about relying on the system in environments where connectivity is not ideal.
For others who have run into these slowdowns, how are you working around them day to day, especially with big vaults, large files, or heavier cloud use so that you are not left waiting in front of a spinning cursor when you need to move quickly?

##### Post Metadata
- Posted at: 7 months ago
- Author title: Pinned by G2 as a common question
- Net upvotes: 1


## Comments
### Comment 1

<p><span style="color: rgb(0, 0, 0);">It might help to check whether the vault structure or underlying hardware/network might be slowing things down, because M-Files support docs note that performance lags can come from large metadata lists or infrastructure limits and offer ways to diagnose it.</span></p>

##### Comment Metadata
- Posted at: 6 months ago
- Author title: Jr. SEO Specialist
- Net upvotes: 2



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