Backblaze B2 vs Paperspace Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Backblaze B2
https://www.backblaze.com/b2
Backblaze B2 is a cloud storage service that provides scalable object storage at 1/4th the cost of Amazon S3. The service offers robust APIs, CLI tools, and integrations with various applications, allowing developers and businesses to store and retrieve any amount of data. It features strong durability, native encryption, and lifecycle rules for data management.
Paperspace
https://www.paperspace.com
Paperspace is a cloud computing platform specializing in GPU-accelerated virtual machines and machine learning infrastructure, enabling developers and data scientists to build, train, and deploy AI/ML models at scale. It offers products including Gradient, a MLOps platform for running Jupyter notebooks and ML pipelines, and Core, which provides on-demand GPU cloud instances. Paperspace was acquired by DigitalOcean in 2023, integrating its GPU cloud capabilities into DigitalOcean's broader cloud services portfolio.
Quick Comparison
| Detail | Backblaze B2 | Paperspace |
|---|---|---|
| Category | Cloud Storage | AI Cloud Infrastructure |
| Starting Price | Free | Free |
| Plans Available | 1 | 8 |
| Features Tracked | 1 | 15 |
| Founded | 2007 | 2014 |
| Headquarters | San Mateo, USA | New York, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| Full API Access | ||
| S3-Compatible API | ||
| core | ||
| Collaboration Tools | ||
| GPU Instances | ||
| High-Speed Networking | ||
| Instant Provisioning | ||
| Jupyter Notebooks | ||
| ML Monitoring | ||
| Model Deployments | ||
| Per-Second Billing | ||
| Persistent Storage | ||
| Pre-configured Frameworks | ||
| Windows Machines | ||
| Workflows | ||
| integration | ||
| Kubernetes Support | ||
| support | ||
| Hands-on Support | ||
Pricing
Compare pricing plans and value for money
Backblaze B2
From $0/mo
Price Components
- storage: $0.006/GB
- download: $0.01/GB
Best For
Developers, businesses, and AI teams seeking affordable, S3-compatible object storage with high performance and low egress costs for scalable data needs.
Paperspace
From $0/mo
Price Components
- base_fee: $0/month
- storage: $0/GB (5 included)
- base_fee: $8/month
- storage: $0/GB (15 included)
- base_fee: $39/month
Best For
ML engineers and data scientists needing cost-efficient, GPU-accelerated development environments with integrated MLOps tools and flexible per-second billing.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Backblaze B2, Paperspace is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Backblaze B2
Developers, businesses, and AI teams seeking affordable, S3-compatible object storage with high performance and low egress costs for scalable data needs.
- S3-compatible API enables seamless drop-in replacement for AWS S3 tools and code.
- Costs 1/5th of Amazon S3 with flat rates, free first 10GB, and generous free egress up to 3x storage.
- Supports Object Lock for ransomware protection and 10TB file uploads with no total capacity limit.
- B2 Overdrive delivers 1Tbps throughput for AI/ML/HPC at hyperscaler speeds without egress fees.
- Lacks advanced enterprise features like multi-region replication found in hyperscalers.
- Smaller company size may raise concerns about long-term scalability for massive enterprises.
- Limited feature set compared to full-suite platforms, focusing mainly on core storage.
Paperspace
ML engineers and data scientists needing cost-efficient, GPU-accelerated development environments with integrated MLOps tools and flexible per-second billing.
- Per-second billing with no hourly minimums enables precise cost control for variable GPU workloads compared to competitors' hourly models
- Integrated MLOps platform (Gradient) combines managed Jupyter notebooks, automated pipelines, and model deployment in one interface without switching tools
- Access to enterprise-grade GPUs (H100, A100) with 10 Gbps backend networking optimized specifically for AI/ML training at scale
- Limited market presence and brand recognition post-DigitalOcean acquisition compared to established competitors like AWS SageMaker or Google Colab
- Smaller global data center footprint than hyperscalers, potentially limiting geographic redundancy and latency optimization for distributed teams
Company Info
Company details and background
Backblaze B2
Paperspace
Comparison FAQ
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