TileDB | Company Profile
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Analytics & Tracking
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Email & Communication
Keywords & Focus Areas
TileDB
Overview
Founded in 2017 as a spin-out from MIT and Intel Labs, TileDB, Inc. is a technology company based in Cambridge, USA. The company specializes in a universal data platform and embedded storage engine that efficiently manages dense and sparse multi-dimensional arrays. Its mission is to streamline modern data management challenges by integrating diverse data modalities and compute capabilities into a single solution.
TileDB provides two core products: TileDB Embedded, an open-source storage engine optimized for high efficiency and parallel I/O, and TileDB Cloud, a cloud-based service enhancing the embedded engine with features such as serverless user-defined functions. The platform supports a broad spectrum of data types for life sciences, geospatial research, generative AI, and data science, serving enterprises and scientific organizations seeking solutions for fragmented data infrastructures.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2017 |
| Revenue | 40M |
| Headquarters | 1 Broadway, Cambridge, MA 02142, United States |
Contact Details
- Phone: +1 617-599-5206
- Website: tiledb.com
- LinkedIn: linkedin.com/company/tiledb-inc
Key Focus Areas & Initiatives
- Software development
- Secure data governance
- Data federation
- Computer systems design and related services
- High-performance computing
- Petabyte-scale storage
- Data cataloging
- Data visualization support
- Big data analytics
- Data governance
- Data collaboration tools
- Data versioning
- Biomedical imaging analysis
- Federated queries
- Serverless architecture
- Analytics
- Security
- Scientific data analysis
- User-defined function (UDF) support
- Cloud-native database
- Scientific research database
- Multimodal data management
- Biotechnology
- Biotech data platform
- Biotech research infrastructure
- Array database for AI
- Data management
- High-dimensional data
- Scientific data FAIR principles
- B2B
- Multimodal scientific data
- Array-based storage
- Distributed array processing
- Biotech multiomics analysis
- Multi-modal data analysis
- Array fragment storage
- High-dimensional scientific data
- Scientific research
- Cloud SaaS
- Biotech data security
- Genomics data storage
- Machine learning
- Scientific data platform
- Scientific data collaboration platform
- Scientific discovery tools
- Scientific workflows
- High-performance scientific computing
- Cost-effective storage
- Cloud data management
- Biotech data management
- Telecommunications
- Data pipeline automation
- Data lifecycle management
- Array storage engine
- Distributed data processing
- Cloud deployment
- FAIR data compliance
- AI data infrastructure
- High-dimensional arrays
- Multi-modal data integration
- Cloud-native scientific database
- Petabyte data storage
- Multi-dimensional arrays
- Multi-user collaboration
- Machine learning integration
- Data consolidation platform
- Healthcare
- Data analytics
- Performance scaling
- Scientific data federation
- Multimodal data in healthcare
- Drug discovery data platform
- Metadata management
- Data search
- Cost reduction in data storage
- Data orchestration
- Data interoperability
- Scalable data analysis
- Multiomics data platform
- Single source of truth
- Information technology
- Single-cell data management
- Federated query technology
- Data integration
- Performance optimization
- Heterogeneous data support
- Biomedical imaging data
- Federated genomics queries
- Cloud SaaS platform
- Scientific data collaboration
- REST API
- Services
- Data security
- Life sciences
- FAIR data principles
- Array database technology
- Database
- Scientific discovery
- Data catalog
- Collaboration platform
- Data analysis
- Drug discovery
- Single-cell data
- Multi-omics
- Bioinformatics
- Genomic variants
- Data infrastructure
- Data visualization
- Cloud storage
- AI-ready
- Elastic compute
- Version control
- FAIR principles
- Research environment
- Bulk data ingestion
- Data silos
- Array database
- Structured data
- Unstructured data
- Open-source
- Cloud-native
- Distributive storage
- Task graphs
- Vector search
- Data licensing
- Data pipelines
- Data flexibility
- Data sharing
- Transcriptomics
- Genomics
- Data scalability
- Cost efficiency
- Reproducibility
- Collaborative research
- Data-driven insights
- Annotation data
- Enterprise software
- Enterprises
- Computer software
- Artificial intelligence
- Health care
- Health, wellness & fitness
- Hospital & health care
- Computer & network security
- Open source
Technologies Used
- AI
- Android
- CloudFlare
- CloudFlare Hosting
- Cloudflare DNS
- CrazyEgg
- Databricks
- DoubleClick
- DoubleClick Conversion
- Gmail
- Google Analytics
- Google Apps
- Google Dynamic Remarketing
- Google Tag Manager
- Hubspot
- Intercom
- IoT
- Leadfeeder
- Linkedin Marketing Solutions
- MailChimp SPF
- Microsoft Office 365
- Mobile Friendly
- Rackspace MailGun
- Remote
- Render
- Reviews
- Snowflake
- Twitter Advertising