Compare Backblaze B2 vs AWS S3 costs for 2025. Real pricing analysis, data transfer costs, and enterprise recommendations to cut cloud storage spend.
Our AWS bill hit $47,000 last month—and 62% was object storage. That single line item exceeded our entire GCP and Azure budgets combined. For mid-size enterprises running media libraries, backup systems, or any data-intensive workload, object storage costs can quietly consume cloud budgets that leadership assumes are "optimized."
The 2024 Flexera State of the Cloud Report confirmed that 67% of enterprises cite cost optimization as their top cloud initiative, yet object storage—a category where pricing varies by 4x between providers—rarely gets the scrutiny it deserves. After migrating 40+ enterprise workloads from AWS S3 to Backblaze B2, I've seen the same pattern repeat: companies accepting S3's premium pricing without understanding the alternatives.
This isn't about choosing the cheapest option blindly. It's about understanding exactly where your money goes—and making informed architectural decisions.
The Core Problem: Why Object Storage Costs Spiral
The pain point is real and quantifiable. AWS S3 Standard storage costs $0.023 per GB per month in US East-1 as of January 2025. For a company storing 500TB of data—modest by media or logistics standards—that's $11,500 monthly, or $138,000 annually. Scale to 2PB, and you're looking at $460,000 per year just for storage, before data transfer or API costs.
The problem compounds because object storage bills contain hidden complexity. Data transfer OUT to the internet incurs charges that can equal or exceed storage costs for read-heavy workloads. API request costs—PUT, GET, COPY operations—add micro-penny charges that become material at scale. Early deletion fees penalize short-term storage. And these costs interact: choosing a cheaper storage class to reduce storage fees can increase retrieval costs, net neutral or worse.
Specific failure scenario: A healthcare SaaS company I consulted with was paying $23,000 monthly for S3 Standard, storing 1PB of medical imaging. They moved 800TB to S3 Intelligent-Tiering and S3 Glacier Instant Retrieval, expecting 40% savings. Actual result: $19,500 monthly. Retrieval costs from Glacier negated most storage savings, and their application couldn't tolerate Glacier's minimum 90-day retention and 1-5 minute retrieval latency. They needed a different architecture entirely.
The 2024 Gartner Cloud Infrastructure Trend Report noted that 78% of organizations underperform their cloud cost targets by more than 20%, with storage and data transfer representing the largest uncontrolled variables. Object storage pricing opacity is a significant contributor.
Deep Technical Comparison: Backblaze B2 vs AWS S3 Pricing Structure
The pricing models differ fundamentally. AWS S3 offers a complex tiered system with multiple storage classes, each with distinct cost profiles. Backblaze B2 provides a simpler model with fewer tiers but dramatically lower base pricing. Understanding these structures is essential for accurate cost modeling.
Storage Class Pricing Comparison
| Storage Class | Provider | Price/GB/Month | Early Delete | Minimum Duration |
|---|---|---|---|---|
| Standard | AWS S3 | $0.023 | N/A | N/A |
| Standard | Backblaze B2 | $0.006 | N/A | N/A |
| S3 Intelligent-Tiering | AWS S3 | $0.023 + monitoring | N/A | N/A |
| Infrequent Access | AWS S3 | $0.0125 | 30 days | 30 days |
| Glacier Instant Retrieval | AWS S3 | $0.004 | 90 days | 90 days |
| Glacier Deep Archive | AWS S3 | $0.00099 | 180 days | 180 days |
| B2 Archive | Backblaze B2 | $0.0018 | 90 days | 90 days |
The base storage comparison reveals B2's fundamental advantage: at $0.006/GB versus S3 Standard's $0.023/GB, Backblaze offers 73% lower storage costs. This gap persists across most comparable tiers. B2 Archive at $0.0018/GB undercuts even S3 Glacier Deep Archive at $0.00099/GB—though S3 Glacier Deep Archive does offer lower pricing for very cold data at 2PB+ scales.
However, storage costs alone don't determine total cost. Data transfer pricing often matters more.
Data Transfer and API Request Costs
Data transfer OUT to the internet represents the most significant variable cost for most workloads:
| Provider | Data Transfer OUT (First 10TB) | Data Transfer OUT (10-50TB) | API PUT | API GET |
|---|---|---|---|---|
| AWS S3 | $0.023/GB | $0.021/GB | $0.005/1000 | $0.0004/1000 |
| Backblaze B2 | $0.01/GB | $0.01/GB | $0.004/1000 | $0.004/1000 |
B2 offers 57% lower data transfer costs in most ranges. For workloads with significant egress—CDN origins, user downloads, cross-region replication—B2's transfer pricing advantage often exceeds its storage savings. A media streaming workload with 100TB monthly egress saves $1,300/month on transfer alone.
API request pricing differs more subtly. AWS charges more for writes (PUT) but less for reads (GET), a pattern reflecting typical access patterns where reads far outnumber writes. B2 charges equally for both operations. For write-heavy workloads—sensor data ingestion, logging, backup creation—AWS S3's cheaper PUT pricing can partially offset its higher storage costs.
Real Cost Scenarios: Three Enterprise Profiles
Scenario 1: Active Media Library (500TB, High Read)**
- 500TB stored, 50TB monthly read, 2M GET requests, 500K PUT requests
- AWS S3 Standard: $11,500 storage + $1,150 transfer + $0.80 GET + $2.50 PUT = $12,653/month
- Backblaze B2: $3,000 storage + $500 transfer + $8 GET + $2 PUT = $3,510/month
- B2 saves $9,143/month (72%)
Scenario 2: Backup Repository (2PB, Low Access)
- 2PB stored, 5TB monthly read, archival retention >180 days
- AWS S3 Glacier Deep Archive: $1,980 storage + $115 transfer + $0.10 GET = $2,095/month
- Backblaze B2 Archive: $3,600 storage + $50 transfer + $20 GET = $3,670/month
- AWS S3 saves $1,575/month (43%) — B2's Archive tier is more expensive than S3 Glacier Deep Archive at this scale
Scenario 3: Application Assets (50TB, Mixed Access)
- 50TB stored, 30% Standard usage, 70% accessed <monthly, 100TB monthly egress
- AWS S3 Standard + Intelligent-Tiering: $1,150 + $1,000 monitoring/retrieval + $2,300 transfer = $4,450/month
- Backblaze B2: $300 storage + $1,000 transfer = $1,300/month
- B2 saves $3,150/month (71%)
These scenarios illustrate why blanket recommendations fail. Total cost depends on storage volume, access patterns, data transfer requirements, and retention duration. The right tool varies by workload.
Decision Framework: Which Provider for Which Workload
Use this framework to evaluate your specific workload:
Choose AWS S3 when:
- Your application requires S3-specific integrations (CloudFront, Lambda@Edge, S3 Transfer Acceleration)
- Regulatory compliance mandates AWS GovCloud or specific certifications only available on S3
- Your workload requires S3 Intelligent-Tiering's millisecond-level automatic tiering without retrieval costs
- You need S3 Batch Operations, S3 Object Lambda, or similar advanced features
- Cross-account replication and S3 Access Points are architectural requirements
Choose Backblaze B2 when:
- Cost is the primary driver and workloads tolerate B2's feature set
- You need S3-compatible API without S3's pricing (B2 is S3-compatible)
- Data transfer egress dominates your access pattern
- You're building on S3-compatible tools but want 60-70% cost reduction
- Hybrid cloud architectures where B2 serves as cost-effective cold storage with S3 hot tier
Implementation Guide: Migrating from S3 to B2
Migration requires careful planning to avoid data loss, application disruption, or unexpected costs. Here's a battle-tested approach:
Step 1: Analyze Current S3 Usage with Cost Explorer
# Generate S3 cost breakdown using AWS Cost Explorer API
aws ce get-cost-and-usage \
--time-period Start=2024-10-01,End=2025-01-01 \
--granularity MONTHLY \
--metrics "UnblendedCost" \
--filter file://s3-filter.json
# s3-filter.json
{
"Dimensions": {
"Link": {
"Key": "SERVICE",
"Values": ["Amazon S3"]
}
}
}
Run this query to establish your baseline. Export detailed usage reports to identify which buckets drive the most cost. Focus migration effort on high-volume, low-access buckets first—they offer the largest savings with lowest migration risk.
Step 2: Assess Application Compatibility
B2 provides S3-compatible API through its S3-compatible API endpoint. Most applications using AWS SDK or boto3 can connect to B2 with minimal code changes:
# AWS S3 configuration
s3_client = boto3.client('s3',
endpoint_url='https://s3.amazonaws.com',
aws_access_key_id='AKIAIOSFODNN7EXAMPLE',
aws_secret_access_key='wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY'
)
# Backblaze B2 S3-compatible configuration
s3_client = boto3.client('s3',
endpoint_url='https://s3.us-west-000.backblazeb2.com',
aws_access_key_id='YOUR_B2_KEY_ID',
aws_secret_access_key='YOUR_B2_APPLICATION_KEY'
)
Test your specific application's S3 operations against B2 before migration. Key compatibility concerns:
- Multipart upload size limits differ (B2: 100MB parts, S3: 5GB parts)
- Server-side encryption options vary
- Bucket policies and ACLs have different syntax
- Lifecycle rules aren't 100% equivalent
Step 3: Execute Migration with S3 Replication or Rclone
For live migration with minimal downtime, use AWS S3 Batch Replication or rclone:
# rclone config for B2
# rclone config
# [b2-backup]
# type = b2
# account = your-account-id
# key = your-application-key
# Sync command with progress monitoring
rclone sync s3:your-bucket b2-backup:your-bucket \
--progress \
--transfers 20 \
--checkers 50 \
--s3-chunk-size 128M \
--b2-chunk-size 128M
For 500TB+ migrations, budget 2-4 weeks for transfer completion at typical enterprise bandwidth. Use CloudWatch to monitor replication lag and validate checksum integrity.
Step 4: Post-Migration Validation and Cost Monitoring
After migration, implement cost monitoring to verify projected savings:
# Set up B2 usage alerts using Backblaze Cloud Analytics
# Monitor via B2 Cloud Analytics dashboard or API
curl -u $B2_APPLICATION_KEY_ID:$B2_APPLICATION_KEY \
'https://api.backblazeb2.com/b2api/v2/b2_GetUsageSummary'
Establish alerts for unexpected usage spikes. Configure billing notifications before migration begins.
Common Mistakes and How to Avoid Them
Mistake 1: Ignoring Egress Costs Until After Migration
Why it happens: Storage pricing gets attention. Data transfer pricing often doesn't appear in initial cost models.
How to avoid: Model total cost including projected egress before migrating. For read-heavy workloads, egress costs may negate storage savings. Run AWS Cost Explorer reports for 3+ months to establish accurate egress baselines.
Mistake 2: Assuming B2 is 100% S3-Compatible
Why it happens: Marketing emphasizes S3 compatibility. Technical limitations get buried in documentation.
How to avoid: Run comprehensive integration tests against B2 before migration. Test multipart uploads, range requests, presigned URLs, and bucket policies. The B2 S3 Compatibility API documentation lists specific differences. Budget 2-4 weeks for compatibility testing on critical applications.
Mistake 3: Migrating All Buckets Uniformly
Why it happens: Simplicity bias. Treating all S3 buckets the same maximizes migration speed but minimizes savings.
How to avoid: Segment buckets by access pattern, compliance requirements, and cost contribution. Archive buckets with <monthly access save more than active buckets. High-compliance buckets may require staying on S3 for regulatory reasons. Apply differentiated migration strategies per bucket category.
Mistake 4: Not Accounting for API Request Costs at Scale
Why it happens: API request costs are negligible at small scale. At millions or billions of requests, they become material.
How to avoid: Calculate API request costs for your specific workload. At 100M GET requests/month on S3, that's $40. At 100M GET requests/month on B2, that's $400. For read-heavy workloads with high request volumes, S3's cheaper GET pricing partially offsets higher storage costs.
Mistake 5: Migrating Without Application-Level Change Management
Why it happens: S3-compatible API creates false confidence that "no code changes needed."
How to avoid: Treat B2 as a new provider with S3-compatible interface, not a drop-in replacement. Update endpoint configurations, credential management, error handling, and retry logic. Implement feature flags to rollback to S3 if B2-specific issues emerge in production.
Recommendations and Next Steps
The cost comparison resolves clearly for most enterprise workloads: Backblaze B2 is the right choice when cost optimization is the primary driver and your workload's access patterns are compatible with B2's tiering model.
For active data, media libraries, application assets, and general-purpose object storage, B2's 60-70% cost advantage over S3 Standard is decisive. The S3-compatible API means most applications migrate without significant rewrites. For backup, archival, and cold storage at very large scale (>1PB), S3 Glacier Deep Archive may offer better economics—but verify with your specific access patterns.
Concrete recommendations by scenario:
- Media/content delivery: Migrate to B2 immediately. 70%+ cost reduction with minimal risk. Use Cloudflare or similar CDN in front to handle egress globally.
- Backup repositories: Evaluate B2 Archive for 90-day+ retention data. Compare against S3 Glacier Deep Archive at your specific scale.
- Application assets (images, videos, user uploads): Migrate to B2. Use S3-compatible SDK with endpoint configuration. Implement dual-write during transition.
- Analytics/logs data lake: Consider staying on S3 for Glue integration, Athena, and Lake Formation capabilities. Cost premium may be justified by analytics ecosystem value.
- Compliance-regulated workloads: Audit specific compliance requirements. Some certifications (FedRAMP, DoD CC SRG) mandate specific providers.
Start your evaluation by exporting 90 days of AWS Cost Explorer data. Segment by bucket and access pattern. Calculate your specific total cost of ownership for both providers. The savings potential is real—but only if your migration architecture matches your workload's actual requirements.
For teams ready to proceed: begin with a non-production bucket migration for testing. Validate application compatibility thoroughly. Implement monitoring before migration completes. The 60% cost reduction is achievable—but only with disciplined execution that respects both providers' technical constraints.
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