Teams can catalog and access all of their data using a unified system. TileDB Catalog enables the organization of structured and unstructured multi-dimensional data with rich metadata and automated indexing. TileDB Filesystem allows efficient management of cloud-stored data without local downloads, significantly reducing storage costs and eliminating redundant data storage across analysis stages.
INTRODUCING
The only Database Designed for Discovery
The world's most powerful database designed to discover breakthroughs, now available for all your data–no matter how big, diverse, or complex.
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Solving for all four steps of the discovery journey
Organize
All files into a catalog with metadata; access directly from cloud as-if local
Structure
Complex frontier data into efficient formats for smoother downstream analysis
Collaborate
Within a Trusted Research Environment, run federated queries with audit & compliance readiness
Analyze
Common and frontier data types with equal efficiency using custom multiomics and imaging solutions
Accelerate Discovery by Supercharging Frontier Data
TileDB Carrara unlocks new capabilities for managing frontier data, which are novel, multi-dimensional, and yield highly valuable insights. These sophisticated data are essential for breakthrough discoveries — from high-precision earthquake prediction systems that integrate seismic, geodetic, and geochemical data, to cancer treatment systems that integrate genomic, molecular, and immunological data.
Traditional databases face significant limitations when handling these complex data. With Carrara, you can tame frontier data with ease and efficiency to drive your competitive advantage.
"Multiomics is indispensable if you want to stay ahead of the curve. If everyone else has better tools than you to discover targets, they will generate better products.”
Senior Scientist
Global Biotechnology Company
Unlock unprecedented insights from all your data
Common Data
- Reduce the cost of discovery
- Accelerate time to insights
- Mitigate risk through improved compliance and security
Key Capabilities for Generating Insights from Complex Data
01. Organize
02. Structure
TileDB Tables and the platform’s multi-dimensional array architecture allow teams to work efficiently with conventional and frontier data format. This unified approach enables real-time integration of diverse data types — from clinical spreadsheets to complex genomics data — supporting rapid scaling of precision medicine initiatives while reducing computing costs for large-scale bioinformatics pipelines.
03. Collaborate
Carrara introduces team spaces and asset views that transform how research groups share and manage data access, essentially establishing data clean rooms for secure collaboration. These capabilities eliminate traditional bottlenecks among global research teams and enable them to maintain the highest standards of data security and regulatory compliance. With Carrara, teams can transform their object store into a Trusted Research Environment.
04. Analyze
Teams can now analyze any data type using multiple access methods, from the built-in Jupyter Notebook to custom dashboards. The platform supports popular frameworks and multiple programming languages such as Python, R, C#, and JavaScript. Carrara also includes native distributed computing capabilities, which is a key difference between TileDB and other database offerings. This flexibility accelerates the time from sample to insight and the preparation of regulatory submissions.
About TileDB Carrara
TileDB Carrara is the flagship product of TileDB (formerly known as TileDB Cloud). Specifically designed for discovering breakthroughs from data—no matter how big, diverse or complex—Carrara redefines what a database built for discovery should be.
Inspired by Carrara marble, renowned for its elegance, durability, and timeless beauty, TileDB Carrara connects our software and the data we structure and catalog for our customers with storied qualities of sophistication, strength, and enduring value. The Carrara name suggests a platform that is both robust and refined, capable of handling complex frontier data with precision and common data types with consistent clarity.