Amazon S3 vs Veeam
A detailed comparison to help you choose between Amazon S3 and Veeam.
Quick Verdict
4.2/5
Amazon S3
198 reviews
3.6/5
Veeam
387 reviews
Amazon S3 is rated higher (4.2 vs 3.6). AWS S3 stores and retrieves unlimited amounts of data via a simple web interface. Built for developers, enterprises, and anyone needing reliable, durable cloud storage with pay-as-you-go pricing. Veeam is the leading enterprise backup platform for VMware, Hyper-V, physical, and cloud workloads. Used by 450,000+ organizations. Instant recovery, replication, and backup copy jobs.
Amazon S3 Scalable object storage for any data size or type | Veeam Enterprise backup for VMs and cloud | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (198 reviews)✓ | 3.6 (387 reviews) |
| Pricing model | freemium | freemium |
| Starting price | Free tier available | Free tier available |
| Best for | Teams building on AWS who need reliable, scalable object storage for backups, data lakes, static content, or application data. | Enterprise IT teams running VMware or Hyper-V who need the industry-standard backup and recovery platform |
| Tags | ||
| Tags | free tiers3 compatibleapi accessus datacentereu datacenterapac datacenterterraform provider | free tierteam featuressso |
| Visit Amazon S3 → | Visit Veeam → | |
Amazon S3
Pros
- + Store unlimited data with predictable per-GB pricing
- + Achieve 99.999999999% durability through automatic redundancy
- + Integrate directly with EC2, Lambda, RDS, and other AWS tools
- + Use lifecycle rules to automatically move data to cheaper storage tiers
- + Control access granularly with IAM policies and bucket policies
Cons
- - Data transfer out of AWS incurs egress charges that can add up quickly
- - API requests have per-1000-request pricing; high-frequency access patterns get costly
- - Requires AWS account setup and understanding of bucket configuration for security
Veeam
Pros
- + Industry standard for VM backup
- + Instant recovery in minutes
- + Free Community Edition available
Cons
- - Enterprise pricing for full features
- - Complex for simple use cases
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