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How to Detect and Resolve Cloud Sync Conflicts with RcloneView

· 3 min read
Tayson
Senior Engineer

You edited a file on your laptop. Your colleague edited the same file on theirs. Now the cloud has two versions and neither is complete. Sound familiar?

Sync conflicts are one of the most frustrating aspects of cloud storage. When the same file is modified in two locations before a sync runs, you end up with conflicting versions — and most cloud tools either silently overwrite one or create confusing duplicate files. RcloneView helps you detect conflicts before they cause damage and resolve them with visual tools.

RcloneView app preview

Manage & Sync All Clouds in One Place

RcloneView is a cross-platform GUI for rclone. Compare folders, transfer or sync files, and automate multi-cloud workflows with a clean, visual interface.

  • One-click jobs: Copy · Sync · Compare
  • Schedulers & history for reliable automation
  • Works with Google Drive, OneDrive, Dropbox, S3, WebDAV, SFTP and more
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Get Started Free →

Free core features. Plus automations available.

What Causes Sync Conflicts?

Conflicts arise when:

  • Same file, different edits — Two people modify the same document before the next sync.
  • Offline edits — You work offline, make changes, then reconnect — but the cloud copy changed while you were offline.
  • Multi-device sync delays — Your phone syncs a photo to Google Drive, but your laptop's sync hasn't caught up yet, and you modify the same file locally.
  • Cross-cloud discrepancies — You have the same data on Google Drive and OneDrive, and changes happen on both.

How RcloneView Helps

1) Folder Comparison — See Differences Before Syncing

Before running any sync job, use Folder Comparison to see exactly what's different:

  • Files only on source — New files that will be copied.
  • Files only on destination — Files that exist at the destination but not the source (potential deletions if you sync).
  • Files that differ — Same filename, different content. These are your potential conflicts.
Detect sync conflicts with folder comparison

2) Dry Run — Preview Before Committing

Run your sync job in dry-run mode first. This shows you exactly what would change without actually modifying anything. v1.3's dry-run panel auto-expands the final column for full details.

3) Copy Instead of Sync for Safety

When in doubt, use Copy instead of Sync:

  • Copy only adds new files. It never deletes.
  • Sync mirrors source to destination, which can delete files at the destination.

For scenarios where conflicts are likely, Copy is always safer.

4) Compare After Sync — Verify Results

After a sync completes, run Folder Comparison again to confirm both sides match. Any remaining differences need investigation.

Prevention Strategies

Use one-way sync

If data flows in one direction (e.g., local → cloud), conflicts can't happen. Only use bidirectional sync when truly necessary.

Schedule sync at consistent times

Use Job Scheduling to sync at predictable intervals — nightly at 2 AM, for example. This creates a clear "last sync point" that users can work around.

Schedule consistent sync times

Use Batch Jobs for ordered operations

v1.3 Batch Jobs let you run operations in order — compare first, then sync. This ensures you always see the differences before committing.

Monitor with notifications

Get Slack alerts when sync jobs detect unexpected differences or when file counts don't match expectations.

Getting Started

  1. Download RcloneView from rcloneview.com.
  2. Always Compare before Sync — make it a habit.
  3. Use dry-run for critical sync jobs.
  4. Prefer Copy over Sync when conflict risk is high.
  5. Schedule and notify for predictable, monitored workflows.

Sync conflicts are inevitable. Data loss from sync conflicts is not — if you have the right tools.


Related Guides:

Supported Cloud Providers

Local Files
WebDAV
FTP
SFTP
HTTP
SMB / CIFS
Google Drive
Google Photos
Google Cloud Storage
OneDrive
Dropbox
Box
MS Azure Blob
MS File Storage
S3 Compatible
Amazon S3
pCloud
Wasabi
Mega
Backblaze B2
Cloudflare R2
Alibaba OSS
Ceph
Swift (OpenStack)
IBM Cloud Object Storage
Oracle Cloud Object Storage
IDrive e2
MinIO
Storj
DigitalOcean Spaces