Single-cell analysis software designed for discovery

TileDB offers a comprehensive platform for single-cell RNA sequencing analysis, designed to efficiently handle the complexities of transcriptomics data on a large scale. TileDB Carrara, built on multi-dimensional arrays, powers the specialized TileDB SOMA system, enabling seamless integration with popular analysis tools like Seurat, Bioconductor, and Scanpy, while being optimized for cloud storage solutions such as Amazon S3 and Google Cloud Storage. This platform supports scalable data management and analysis for projects with over 100 million cells, as demonstrated by its use in the Chan Zuckerberg CellxGene Atlas. TileDB Carrara facilitates efficient data unification, query performance, and cost-effective storage, while also enabling advanced features such as vector search for cell similarity and annotation, support for spatial transcriptomics, and high-performance table operations. The platform is designed to streamline research workflows by transitioning from file storage to active analysis, providing secure collaboration environments, and supporting AI/ML model training with optimized data workflows.