The BioSpark engine processes a full 30× WGS sample with dramatically reduced turnaround time. Conventional GATK-based pipelines require significantly more time on equivalent data.
Process a cohort of 1,000 samples in approximately 1.5 days. The same workload on legacy infrastructure can require up to 75 days of sequential processing.
BioSpark's optimized execution model dramatically reduces compute overhead compared to traditional on-premise or unoptimized pipeline deployments.
| Feature | Legacy Setup | BioSpark |
|---|---|---|
| Analysis Processing Time | Hours to Days | Significantly Faster |
| Cost Efficiency | High infrastructure overhead | Significantly reduced |
| Scalability | Manual / Limited hardware | Auto-scaling (Elastic) |
| Infrastructure Management | Complex (DevOps required) | Fully Managed |
| Security & Compliance | Self-managed & Resource heavy | Built-in (Encrypted, Isolated) |
| Cohort Processing (1,000 Samples) | Months | Days |
| Setup Required | Weeks to Months | Zero |
Run your first sample on the BioSpark engine — no installation, no configuration, no waiting.