Head-to-head · Storage Migration Software
AWS DataSync vs DryvIQ
AWS DataSync leads on 0 checks, DryvIQ on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAWS DataSync · 8.8/10
- Most featuresDryvIQ · 4 of 4
AWS DataSync scores higher on our rubric for storage migration software: 8.8 against 8.7 out of 10; our editors rank them #4 and #5.
On migration mode, DryvIQ gives you Both where AWS DataSync offers Batch.
AWS DataSync is the better fit for cloud and hybrid file transfers. DryvIQ is the better fit for complex enterprise content migrations.
- AWS DataSync fits best
Cloud and hybrid file transfers
- DryvIQ fits best
Complex enterprise content migrations
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Side by side
| Feature | AWS DataSync 8.8/10 Visit ↗ | DryvIQ 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.7 |
| Ranking | #4 in Storage Migration Software | #5 in Storage Migration Software |
| Best for | Cloud and hybrid file transfers | Complex enterprise content migrations |
| Pricing model | Paid | Paid |
| Starting price | $0.01/GB usage-based | Pricing on request |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Support | Docs | Phone |
| Built for | Mid-market, Enterprise | Enterprise |
| Features AWS DataSync 3/4 · DryvIQ 4/4 | ||
| Metadata preservation | ✓ | ✓ |
| Access preservation | ✓ | ✓ |
| Cutover orchestration | Not checked yet | ✓ (best) |
| Migration reporting | ✓ | ✓ |
| Specs | ||
| Workload scope | File | File |
| Migration mode | Batch | Both |
| Supported platforms | NFS, SMB, HDFS, self-managed object storage, S3-compatible object storage, Azure Files, Azure Blob Storage, Amazon S3, Amazon EFS, Amazon FSx for Windows File Server, Amazon FSx for Lustre, Amazon FSx for OpenZFS, Amazon FSx for NetApp ONTAP | NFS, SAN, NAS, SMB, Microsoft 365, SharePoint, OneDrive, Microsoft Teams, Microsoft Exchange, Google Workspace Shared Drives, Dropbox, Box, Azure Blob Storage, Amazon S3, Amazon Glacier, Citrix ShareFile, Hitachi Content Platform Anywhere, Nasuni, FileNet, Egnyte, Alfresco, Documentum, Procore, Autodesk, SFTP |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS DataSync is a managed online service for migrating, replicating, archiving, and transferring files and objects. It is suited to organizations moving data between on-premises storage, edge locations, other cloud providers, and AWS… Read the review → |
DryvIQ is an enterprise platform for migrating, synchronizing, analyzing, and governing unstructured file content across cloud and on-premises repositories. It is designed for large organizations moving content among file servers, storage… Read the review → |
Strengths and trade-offs
AWS DataSync — where it wins
- Connects on-premises, cloud, edge, and AWS storage locations
- Preserves metadata, ownership, permissions, ACLs, timestamps, and object tags
- Adds scheduling, incremental transfers, validation, monitoring, and reports
Where it doesn't
- No free plan is available
- Usage-based pricing starts at $0.0125 per GB
- Enhanced mode costs $0.015 per GB
DryvIQ — where it wins
- Broad coverage across cloud, on-premises, SaaS, and object storage
- Preserves metadata, permissions, versions, timestamps, and links
- Validation, reconciliation reporting, synchronization, and custom connector SDK
Where it doesn't
- Pricing is handled through a contact-sales process
- Connector breadth can require detailed migration planning
- Focused on file and unstructured content rather than general data migration
- AWS DataSync8.8/10 · Paid
A broad migration service for moving files and objects across diverse storage environments.
Visit AWS DataSyncFull verdict → - DryvIQ8.7/10 · Pricing on request
A broad enterprise migration platform for complex, multi-source file environments.
Visit DryvIQFull verdict →
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All storage migration software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





