Bio‑informatics

Wide‑data for modern biology

Biological datasets are becoming massive, dense, and multi‑modal. SynSQL provides a SQL engine capable of handling high‑dimensional matrices with hundreds of thousands of columns and millions of cells, queried interactively.
SynSQL stores high‑dimensional biological data in a single wide table and supports both high‑throughput bulk loading and standard SQL operations (INSERT, UPDATE, DELETE). This combination allows fast ingestion of large datasets while preserving the flexibility of fine‑grained modifications, something that traditional scientific formats do not offer.

Single‑cell scale
Single‑cell experiments produce matrices with millions of cells and ~20 000 gene columns. SynSQL handles these high‑dimensional, dense datasets with interactive performance. It supports additional analytical columns such as clustering labels, embeddings (UMAP/PCA), and pseudotime trajectories when present. more…
Multi‑omics integration
Multi‑omics tables combine heterogeneous molecular features such as genes, proteins, metabolites, derived scores, and clinical metadata. SynSQL stores all modalities in a single wide table, enabling fast cross‑queries across all feature types without the need for joins or specialized formats.
Open Live Workspace → more…

Why SynSQL fits biology

• Handles hundreds of thousands of columns (genes, peaks, proteins, etc.).
• Efficient on dense matrices.
• Horizontal and vertical scalability across thousands of servers.
• Natural resilience: failing nodes are skipped automatically.
• SQL + Python for seamless integration into existing pipelines.