The only database
designed for discoveryTransform your object store into a Trusted Research Environment.
Use both common and frontier data to accelerate compliance-ready breakthroughs.
designed for discoveryTransform your object store into a Trusted Research Environment.
Use both common and frontier data to accelerate compliance-ready breakthroughs.
TRUSTED CUSTOMERS & PARTNERS
Discovery deserves
a fit-for-purpose database
Unite all the data used in scientific discovery, structured and unstructured, common and frontier, in a single, secure destination.
Organize
Structure
Collaborate
Analyze
Do all the work of discovery, all in one place.
Stop struggling with data silos. TileDB gives teams a single, secure platform to manage, analyze, and maximize the value of all their R&D data.
Catalog all file formats from your local and cloud environments in bulk, attach meaningful descriptions, tags and metadata to enhance discoverability.
Organize data for different projects and teams into teamspaces; manage access with fine-grained permissions.
Facilitate safe search and discovery across the organization; maintain FAIR data standards.
What makes TileDB unique?
Transform Amazon S3 into a Trusted Research Environment
Equip teams to collaborate securely in one place, while maintaining access controls, logging and adhering to FAIR principles.
No data is "unstructured"
TileDB is an array database. Arrays adapt to natively capture the structure of all data, regardless of modality. Non-tabular “unstructured” data need not conform to a tabular structure.
Solve problems at any scale
Perform tabular analytics across data lakes within TileDB, with cutting edge performance and relational semantics. Coupled with TileDB’s native distributed, serverless compute engine via task graphs, you can solve even the most difficult tabular problems at any scale.
AI-ready, already
Pioneer AI for drug and target discovery by training models with all your data, not some of it. Centralize and catalog all your data regardless of format to train robust, comprehensive AI/ML models. Store access and version-controlled models alongside the data used to train them, in the same system of record, with built-in vector search capability.
Infrastructure for training models
Management of models with versioning, access control and logging
Built-in, native vector search capability
Support for RAG LLMs