Use Cases
- Efficient sensor data logging for satellite missions
- Structured data output ready for analytics
- Long-term reliability with checksum protection
- Continuous logging for industrial sensors
- Ultra-low CPU and memory footprint
- Seamless integration with analytics platforms
- Multi-terabyte archive management
- Data validation and integrity protection
- Analytics-ready structured output
Features
High Compression Efficiency: Consistently outperforms conventional algorithms such as Zstd, Gorilla, Snappy, XZ and others, achieving higher compression ratios across diverse sensor datasets
Built for Scale and Trust: Effortlessly manages everything from tiny sensor streams to multi-terabyte archives, backed by robust data validation, smart indexing, and checksum protection for unbeatable long-term reliability
Efficient by Design: Engineered for seamless, continuous logging and fast on-device compression with ultra-low CPU and memory use—perfect for telemetry, simulation, and long-term storage
Parquet-Ready Storage: Outputs structured, analytics-compatible files that integrate seamlessly with modern data platforms such as Spark, Pandas, and Arrow, making it ideal for big data processing, fast analytics, and cloud data workflows
Benchmark Results
Superior compression and fidelity for FSR, IMU, and phone sensor data, outperforming standard codecs in efficiency while maintaining data integrity.
Compared to Gorilla, Snappy, LZ4, and Zstd, Byte2Bit™ Atlas provides the most compact bit-value ratios, optimizing both storage and transmission.
Benefits
Deployment Options
Deploy directly on satellites for real-time sensor data compression and logging.
Run on edge devices with ultra-low resource requirements for continuous logging.
Process and analyze sensor data at ground stations with analytics-ready Parquet output.