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Tiledb

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TileDB: Market Research Report



Company Overview



Name: TileDB, Inc.

Mission: The modern database that integrates all data modalities, code, and compute in a single product.

Founded: TileDB was spun out of MIT and Intel Labs in May 2017.

Founders: No information is available.

Key People:
  • Stavros Papadopoulos, Founder & CEO

  • Isaiah Norton, VP of Engineering

  • Seth Shelnutt, CTO

  • Eric Goldstein, Chief Revenue Officer


Headquarters: CIC, 1 Broadway, Cambridge, MA 02142, USA

Number of employees: No information is available.

Revenue: No information is available.

Known For: TileDB is known for its universal data management platform (TileDB Cloud) that manages and analyzes a vast range of data types within a single powerful mult- dimensional array database.

Products



TileDB Cloud


Description: TileDB Cloud offers a secure platform for distributed computations, interactive analysis, and collaboration with integrations for various TileDB vertical solutions.

Key Features:
  • Universal Data Platform: Manages all data modalities, including tables, genomics, images, graphs, key-values, point clouds, and more.

  • Versioning and Time-Travel: Built-in capabilities for versioning datasets and accessing past versions.

  • Secure Governance: Control and monitor data accessibility.

  • Interoperability: Compatible with numerous APIs and popular machine learning frameworks.

  • Serverless SQL & UDFs: Support for serverless SQL and user-defined functions.

  • Scalable Compute: Designed for scalable, distributed computations.


Recent Developments



Recent Developments:
  • Series B Funding: Closed $34M Series B funding.

  • Product Recognitions: Recognized among Vector Database Vendors in Forrester’s Landscape Q2 2024 report.

  • Google Cloud Platform: Integration available for enterprise plans.


New Features Added:
  • Population Genomics: Ingestion of VCF files directly through TileDB Cloud UI.

  • Single Cell: Blockwise iteration for memory-efficient analysis of large SOMA datasets.

  • Biomedical Imaging: NDPI image format support.

  • Geospatial: Task graph ingestion for TileDB Point Cloud and Rasters.

  • TileDB Vector Search: Introduced a new graph-based “Vamana” API for higher recall and support for int8 index types.


New Partnerships:
  • No specific new partnerships mentioned.


Detailed Industry Solutions



Industries Served


TileDB serves multiple industries, including financial services, healthcare, telecommunications, reinsurance, defense, maritime, earth observation, and oil & gas.

Key Areas and Use Cases


  • Financial Services: Offers real-time, alternative data analysis, and advanced quants for innovative fintech needs.

  • Healthcare: Supports precision medicine, genomic sequencing, integrating vast datasets for insight-rich patient care.

  • Telecommunications: Delivers next-gen 5G data solutions optimizing network monitoring and customer data.

  • Reinsurance: Provides a robust database for handling geographical, weather, maritime, and other key datasets affecting reinsurance.

  • Defense: Tailors a secure database solution to assist intricate and data-heavy defense operations.

  • Maritime: Manages large-scale maritime data for competitive analysis and risk reduction.

  • Earth Observation: Facilitates cloud-based processing of large earth observation datasets for real-time insights.


Case Studies



Quest Diagnostics


Challenge: Unifying data silos for machine learning while ensuring strict compliance and data governance.
Solution: TileDB Cloud enabled efficient management and collaborative ML workflows across diverse genomic datasets.
Outcome: Achieved 26% storage cost reduction and cost-efficient parallel data ingest, proving the robustness and efficiency of TileDB's solutions.

Phenomic AI


Challenge: Scaling single-cell data processing from millions to tens of millions of cells.
Solution: Implemented TileDB-SOMA and TileDB Cloud for handling large single-cell datasets.
Outcome: Enabled memory-efficient, parallel processing and streamlined collaboration between data scientists and wet-lab teams.

EarthScope


Challenge: Efficient cloud-based distribution of large geophysical datasets.
Solution: Transitioned storage to sparse TileDB arrays on Amazon S3.
Outcome: Significant reduction in data duplication needs and optimized data processing for extensive ML research.

Rady Children's Hospital


Challenge: Expanding newborn screening using genomic sequencing.
Solution: Used TileDB for fast, cost-effective genomic data queries.
Outcome: Improved efficiency in clinical genomics, crucial NBS data integration, and reduced computational costs.

Conclusion


TileDB has established itself as a leader in data management by offering innovative solutions across various industries. Through robust funding, continuous product improvements, and strategic collaborations, TileDB continues to advance its mission of delivering a streamlined, secure, and scalable data platform, addressing complex data management needs worldwide.