TileDB

TileDB is a modern database solution that offers a unified platform for efficient management and analysis of diverse data types, including tables, files, images, genomics, machine learning features, metadata, and more. It caters to the needs of data scientists, bioinformaticians, geospatial analysts, financial analysts, healthcare professionals, and researchers across various industries.

Explore at atlas scale: TileDB enables users to efficiently explore and analyze data at large scales. It provides robust capabilities for handling extensive data volumes and supports seamless storage and retrieval across distributed systems.

Population genomics: TileDB offers advanced solutions for managing and analyzing population genomics data. It provides efficient storage and analysis features for large-scale genomic datasets, facilitating complex analyses of genomic variants, gene expression, and other genomic data.

LiDAR: TileDB presents a comprehensive LiDAR data management platform. It facilitates efficient storage, retrieval, and analysis of LiDAR data, enabling users to effectively manage and process vast amounts of point cloud data.

AIS: TileDB empowers users to manage, distribute, and analyze Automatic Identification System (AIS) data at scale. It includes robust tools for storing, querying, and visualizing AIS data, offering valuable insights into vessel movements and maritime activities.

Weather: TileDB supports the storage and analysis of weather data, including temperature, precipitation, wind speed, and more. It provides efficient data processing capabilities, enabling advanced weather forecasting and analysis.

SAR imaging: TileDB offers efficient management and analysis of Synthetic Aperture Radar (SAR) imaging data. It provides seamless storage and retrieval of SAR data, facilitating the processing and analysis of radar images for remote sensing and earth observation applications.

Location data: TileDB provides comprehensive features for managing and analyzing location data. It enables users to store and query spatial data, including GPS coordinates, addresses, and geospatial boundaries, facilitating spatial analysis and visualization.

Hyperspectral: TileDB supports the storage and analysis of hyperspectral data. It provides efficient storage and retrieval of high-dimensional spectral data, enabling users to process and analyze hyperspectral images for applications such as remote sensing and environmental monitoring.

Biomedical imaging: TileDB offers robust capabilities for managing and analyzing biomedical imaging data. It provides efficient storage and retrieval of medical images, including MRI, CT scans, and microscopy images, empowering researchers and healthcare professionals to analyze and visualize medical imaging data effectively.

Dataframes: TileDB supports the storage and analysis of tabular data in a dataframe format. It provides seamless integration with popular dataframe libraries and tools, enabling users to efficiently store, query, and manipulate structured data for data analysis purposes.