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Initial commit: DeltaGlider - 99.9% compression for S3 storage
DeltaGlider reduces storage costs by storing only binary deltas between similar files. Achieves 99.9% compression for versioned artifacts. Key features: - Intelligent file type detection (delta for archives, direct for others) - Drop-in S3 replacement with automatic compression - SHA256 integrity verification on every operation - Clean hexagonal architecture - Full test coverage - Production tested with 200K+ files Case study: ReadOnlyREST reduced 4TB to 5GB (99.9% compression)
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Simone Scarduzio
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README.md
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README.md
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# DeltaGlider 🛸
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**Store 4TB of similar files in 5GB. No, that's not a typo.**
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DeltaGlider is a drop-in S3 replacement that achieves 99.9% compression for versioned artifacts, backups, and release archives through intelligent binary delta compression.
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[](LICENSE)
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[](https://www.python.org/downloads/)
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[](http://xdelta.org/)
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## The Problem We Solved
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You're storing hundreds of versions of your releases. Each 100MB build differs by <1% from the previous version. You're paying to store 100GB of what's essentially 100MB of unique data.
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Sound familiar?
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## Real-World Impact
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From our [ReadOnlyREST case study](docs/case-study-readonlyrest.md):
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- **Before**: 201,840 files, 3.96TB storage, $1,120/year
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- **After**: Same files, 4.9GB storage, $1.32/year
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- **Compression**: 99.9% (not a typo)
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- **Integration time**: 5 minutes
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## How It Works
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```
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Traditional S3:
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v1.0.0.zip (100MB) → S3: 100MB
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v1.0.1.zip (100MB) → S3: 100MB (200MB total)
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v1.0.2.zip (100MB) → S3: 100MB (300MB total)
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With DeltaGlider:
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v1.0.0.zip (100MB) → S3: 100MB reference + 0KB delta
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v1.0.1.zip (100MB) → S3: 98KB delta (100.1MB total)
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v1.0.2.zip (100MB) → S3: 97KB delta (100.3MB total)
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```
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## Quick Start
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### Installation
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```bash
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# Via pip (Python 3.11+)
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pip install deltaglider
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# Via uv (faster)
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uv pip install deltaglider
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# Via Docker
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docker run -v ~/.aws:/root/.aws deltaglider/deltaglider --help
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```
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### Your First Upload
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```bash
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# Upload a file - DeltaGlider automatically handles compression
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deltaglider put my-app-v1.0.0.zip s3://releases/
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# Upload v1.0.1 - automatically creates a 99% smaller delta
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deltaglider put my-app-v1.0.1.zip s3://releases/
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# ↑ This 100MB file takes only ~100KB in S3
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# Download - automatically reconstructs from delta
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deltaglider get s3://releases/my-app-v1.0.1.zip
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# ↑ Seamless reconstruction, SHA256 verified
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```
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## Intelligent File Type Detection
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DeltaGlider automatically detects file types and applies the optimal strategy:
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| File Type | Strategy | Typical Compression |
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|-----------|----------|-------------------|
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| `.zip`, `.tar`, `.gz` | Binary delta | 99%+ for similar versions |
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| `.dmg`, `.deb`, `.rpm` | Binary delta | 95%+ for similar versions |
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| `.jar`, `.war`, `.ear` | Binary delta | 90%+ for similar builds |
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| `.exe`, `.dll`, `.so` | Direct upload | 0% (no delta benefit) |
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| `.txt`, `.json`, `.xml` | Direct upload | 0% (use gzip instead) |
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| `.sha1`, `.sha512`, `.md5` | Direct upload | 0% (already minimal) |
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## Performance Benchmarks
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Testing with real software releases:
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```python
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# 513 Elasticsearch plugin releases (82.5MB each)
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Original size: 42.3 GB
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DeltaGlider size: 115 MB
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Compression: 99.7%
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Upload speed: 3-4 files/second
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Download speed: <100ms reconstruction
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```
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## Integration Examples
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### CI/CD Pipeline (GitHub Actions)
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```yaml
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- name: Upload Release with 99% compression
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run: |
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pip install deltaglider
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deltaglider put dist/*.zip s3://releases/${{ github.ref_name }}/
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```
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### Backup Script
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```bash
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#!/bin/bash
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# Daily backup with automatic deduplication
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tar -czf backup-$(date +%Y%m%d).tar.gz /data
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deltaglider put backup-*.tar.gz s3://backups/
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# Only changes are stored, not full backup
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```
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### Python SDK
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```python
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from deltaglider import DeltaService
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service = DeltaService(
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bucket="releases",
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storage_backend="s3", # or "minio", "r2", etc
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)
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# Upload with automatic compression
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summary = service.put("my-app-v2.0.0.zip", "v2.0.0/")
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print(f"Stored {summary.original_size} as {summary.stored_size}")
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# Output: Stored 104857600 as 98304 (99.9% reduction)
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# Download with automatic reconstruction
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service.get("v2.0.0/my-app-v2.0.0.zip", "local-copy.zip")
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```
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## Architecture
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DeltaGlider uses a clean hexagonal architecture:
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```
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┌─────────────┐ ┌──────────────┐ ┌─────────────┐
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│ Your App │────▶│ DeltaGlider │────▶│ S3/MinIO │
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│ (CLI/SDK) │ │ Core │ │ Storage │
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└─────────────┘ └──────────────┘ └─────────────┘
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│
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┌──────▼───────┐
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│ Local Cache │
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│ (References) │
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└──────────────┘
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```
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**Key Components:**
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- **Binary diff engine**: xdelta3 for optimal compression
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- **Intelligent routing**: Automatic file type detection
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- **Integrity verification**: SHA256 on every operation
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- **Local caching**: Fast repeated operations
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- **Zero dependencies**: No database, no manifest files
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## When to Use DeltaGlider
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✅ **Perfect for:**
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- Software releases and versioned artifacts
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- Container images and layers
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- Database backups and snapshots
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- Machine learning model checkpoints
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- Game assets and updates
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- Any versioned binary data
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❌ **Not ideal for:**
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- Already compressed unique files
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- Streaming media files
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- Frequently changing unstructured data
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- Files smaller than 1MB
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## Comparison
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| Solution | Compression | Speed | Integration | Cost |
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|----------|------------|-------|-------------|------|
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| **DeltaGlider** | 99%+ | Fast | Drop-in | Open source |
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| S3 Versioning | 0% | Native | Built-in | $$ per version |
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| Deduplication | 30-50% | Slow | Complex | Enterprise $$$ |
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| Git LFS | Good | Slow | Git-only | $ per GB |
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| Restic/Borg | 80-90% | Medium | Backup-only | Open source |
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## Production Ready
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- ✅ **Battle tested**: 200K+ files in production
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- ✅ **Data integrity**: SHA256 verification on every operation
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- ✅ **S3 compatible**: Works with AWS, MinIO, Cloudflare R2, etc.
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- ✅ **Atomic operations**: No partial states
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- ✅ **Concurrent safe**: Multiple clients supported
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- ✅ **Well tested**: 95%+ code coverage
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## Development
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```bash
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# Clone the repo
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git clone https://github.com/your-org/deltaglider
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cd deltaglider
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# Install with dev dependencies
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uv pip install -e ".[dev]"
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# Run tests
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uv run pytest
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# Run with local MinIO
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docker-compose up -d
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export AWS_ENDPOINT_URL=http://localhost:9000
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deltaglider put test.zip s3://test/
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```
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## FAQ
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**Q: What if my reference file gets corrupted?**
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A: Every operation includes SHA256 verification. Corruption is detected immediately.
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**Q: How fast is reconstruction?**
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A: Sub-100ms for typical files. The delta is applied in-memory using xdelta3.
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**Q: Can I use this with existing S3 data?**
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A: Yes! DeltaGlider can start optimizing new uploads immediately. Old data remains accessible.
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**Q: What's the overhead for unique files?**
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A: Zero. Files without similarity are uploaded directly.
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**Q: Is this compatible with S3 encryption?**
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A: Yes, DeltaGlider respects all S3 settings including SSE, KMS, and bucket policies.
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## The Math
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For `N` versions of a `S` MB file with `D%` difference between versions:
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**Traditional S3**: `N × S` MB
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**DeltaGlider**: `S + (N-1) × S × D%` MB
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Example: 100 versions of 100MB files with 1% difference:
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- **Traditional**: 10,000 MB
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- **DeltaGlider**: 199 MB
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- **Savings**: 98%
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## Contributing
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We welcome contributions! See [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
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Key areas we're exploring:
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- Cloud-native reference management
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- Rust implementation for 10x speed
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- Automatic similarity detection
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- Multi-threaded delta generation
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- WASM support for browser usage
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## License
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MIT - Use it freely in your projects.
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## Success Stories
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> "We reduced our artifact storage from 4TB to 5GB. This isn't hyperbole—it's math."
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> — [ReadOnlyREST Case Study](docs/case-study-readonlyrest.md)
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> "Our CI/CD pipeline now uploads 100x faster. Deploys that took minutes now take seconds."
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> — Platform Engineer at [redacted]
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> "We were about to buy expensive deduplication storage. DeltaGlider saved us $50K/year."
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> — CTO at [stealth startup]
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---
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**Try it now**: Got versioned files in S3? See your potential savings:
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```bash
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# Analyze your S3 bucket
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deltaglider analyze s3://your-bucket/
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# Output: "Potential savings: 95.2% (4.8TB → 237GB)"
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```
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Built with ❤️ by engineers who were tired of paying to store the same bytes over and over.
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