TileDB

TileDB is a multimodal database platform designed for discovery, enabling scientific and research teams to manage, organize, and analyze all of their data in one place at scale. Built on pioneering array technology, TileDB serves life sciences organizations tackling the most complex and data-intensive use cases, from frontier multiomics and single-cell research to biomedical imaging and large-scale genomics.

TileDB positions itself as a unified data platform that consolidates diverse data formats and empowers teams to move from raw data to breakthrough insights efficiently. The platform is purpose-built for the challenges of modern life sciences data, including petabyte-scale storage, federated access across organizations, and compliance with FAIR data principles.

Core Platform Capabilities

• Organize: Account for all data regardless of size, diversity, or complexity by creating folder hierarchies, attaching meaningful descriptions and metadata, and enabling holistic search across datasets.
• Structure: Consolidate diverse data formats into a coherent, array-based storage architecture optimized for both storage efficiency and computational performance.
• Collaborate: Enable shared remote access to massive datasets without requiring physical data movement, increasing productivity across teams and organizations.
• Analyze: Leverage a serverless, array-powered engine that scales to the most complex analytical workloads in life sciences research.

Key Use Cases and Domain Solutions

• Genomics: Power variant analysis at biobank scale by combining an efficient storage format with distributed cloud computing. Run complex variant queries in hours that previously took days, and store petabyte-scale genomic data cost-effectively — reducing costs by up to 97% compared to file-based approaches.
• Single-cell: Support next-generation drug discovery workflows by reducing the data engineering burden on ML and computational scientists, allowing them to focus on the science rather than infrastructure.
• Biomedical Imaging: Manage and analyze large-scale imaging datasets within the same unified platform used for other multimodal data types.
• FAIR Compliance: Enable data management practices aligned with Findable, Accessible, Interoperable, and Reusable (FAIR) data principles.
• Trusted Research Environment: Support federated queries between namespaces and organizations within TileDB's trusted research environment, enabling secure cross-organizational data collaboration.

Platform Value and Differentiators

• Data Infrastructure: An elegant data platform that easily consolidates diverse formats to drive discovery across research teams.
• Performance: An array-powered serverless engine that scales to the most complex and demanding data use cases in life sciences.
• Reduced Operational Costs: An array format optimized for both storage and computing reduces total cost of operations significantly.
• Collaboration: Increased productivity through shared remote access on massive datasets without the need to move physical data.
• Discovery: Simplified, comprehensive search capabilities across teams and organizations to accelerate insight generation.

Partnerships, Customers, and Ecosystem

• TileDB has partnered with Databricks to power multimodal data for agentic AI in healthcare and life sciences.
• Cellarity, a next-generation drug discovery company, uses TileDB to manage single-cell data at scale, with their Chief Data Officer noting that TileDB reduces the data engineering burden so that ML and computational scientists can focus on the science.
• TileDB is designed to serve organizations working with multiomics, genomics, imaging, and other complex scientific data types at enterprise and biobank scale.

TileDB offers a compelling solution for life sciences organizations seeking to unify their multimodal data infrastructure, reduce costs, and accelerate scientific discovery through scalable, collaborative, and compliant data management.