TileDB

TileDB

Array database for complex data management

Overview

TileDB builds a specialized database for multi-dimensional arrays to power complex data workloads across life sciences, geospatial research, and AI. Its system stores data as array structures, enabling efficient storage, retrieval, and analysis of large, diverse datasets with strong performance and scalability. Unlike traditional row/column stores, TileDB focuses on array-based data access patterns and metadata management to support advanced analytics, simulations, and collaboration across scientific disciplines. The company differentiates itself through its emphasis on array databases, flexible data models, and strategic partnerships that expand applicability in research, enterprise, and government sectors. TileDB’s goal is to make complex data accessible and manageable for scientists and developers, accelerating discovery and practical insights.

Significant Headcount Growth

About TileDB

Simplify's Rating
Why TileDB is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

51-200

Company Stage

Early VC

Total Funding

$52.8M

Headquarters

Cambridge, Massachusetts

Founded

2017

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Simplify's Take

What believers are saying

  • Raised $34M Series B in October 2023 from AlleyCorp and Intel Capital.
  • Launched Carrara in 2024 for omnimodal data intelligence in life sciences.
  • Added vector search and Generative AI support for modern database vision.

What critics are saying

  • DuckDB erodes niche with superior Parquet query performance in 6-12 months.
  • Snowflake captures life sciences customers via Unistore in 12-18 months.
  • Funding drought since 2023 triggers talent exodus to Databricks in 6-12 months.

What makes TileDB unique

  • TileDB's array technology structures genomics, imaging, and documents as modalities.
  • Carrara platform unifies discovery, access, and analysis across all data types.
  • Partners with CZI for scalable single-cell genomics storage solution.

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Funding

Total Funding

$52.8M

Above

Industry Average

Funded Over

4 Rounds

Early VC funding comparison data is currently unavailable. We're working to provide this information soon!
Early VC Funding Comparison
Coming Soon

Benefits

Health Insurance

Dental Insurance

Stock Options

Paid Vacation

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

6%

1 year growth

8%

2 year growth

10%
Gilbane, Inc.
Oct 7th, 2025
TileDB launches Carrara, an omnimodal data intelligence platform

TileDB launches Carrara, an omnimodal data intelligence platform. TileDB announced controlled availability of TileDB Carrara, an omnimodal data intelligence platform addressing the inability to discover, access, and analyze all data types, from structured tables to non-tabular data such as genomics, imaging, documents, models, agents, in a unified, governed environment. TileDB Carrara treats all data as "modalities" - reachable, shareable data or code assets with inherent structure and domain-specific semantics. Whether population variants, bioimaging, PDF documents, Jupyter notebooks, user-defined functions, or external tables from existing data warehouses, assets become discoverable, and queryable. * Organization: A unified catalog for registering and searching across all modalities, supporting rich metadata filters and LLM-powered discovery * Structuring: Leveraging TileDB's shape-shifting array technology to efficiently capture any complex data type, optimized for cloud storage backends * Collaboration: Teamspaces that function as secure data products, enabling users to create, share, and audit access to diverse assets within data clean rooms * Analyze: An infrastructure for massively distributed computations, workflows, notebooks, and dashboards that manages all the data. While Carrara's omnimodal architecture serves enterprises across sectors, its impact is particularly useful in life sciences and healthcare, where the integration of multimodal data (genomics, proteomics, clinical imaging, electronic health records, and sensor data) is essential.

TileDB, Inc.
Feb 13th, 2025
Single Cell Data with TileDB

This is why TileDB partnered with the Chan Zuckerberg Initiative (CZI) to develop a scalable, efficient and user-friendly storage solution for single-cell genomics data.

TileDB, Inc.
Dec 16th, 2024
TileDB Newsletter - December 2024

TileDB Inc. has released a new Max server size for notebook instances on TileDB Cloud.

Tech.eu
Jul 25th, 2024
Greece: From Ancient Roots To Modern Heights

Over the past decade, Greece has seen a significant increase in startup activity in diverse sectors, including fintech, tourism tech, agritech, healthtech, and creative industries, all supported by incubators, accelerators, and co-working spaces. This diversity reflects the country's ability to leverage its strengths across various domains. The country's supportive regulatory environment, coupled with a growing pool of skilled tech talent and robust infrastructure, has fostered the growth of numerous successful tech companies. International recognition and funding opportunities are also on the rise, attracting both local entrepreneurs and global investors to Greece's promising tech landscape

HIT Consultant
Jul 8th, 2024
Why Precision Medicine Demands A Completely New Type Of Database

Precision medicine is revolutionizing healthcare – by optimizing the efficiency and therapeutic benefit for particular groups of patients, especially by using genetic or molecular profiling. This approach enables a range of health disciplines, including disease prediction, prevention and the resulting treatments, diagnostic screening for prenatal and newborns, and screening for rare diseases and cancer types. For life sciences, the ability to peer into high-resolution molecular profiles has opened up the way we hunt for new drugs and targets.As exciting as these possibilities are, precision medicine relies on being able to handle and analyze vast amounts of complex data with a great degree of nimbleness and agility. With faster, more affordable technologies, organizations are generating hundreds of terabytes of genomic data per month, and it’s estimated that genomics alone will generate up to 40 exabytes of data per year by 2025. The explosion of variant data from public and private biobanks, and the advent of multi-omics, in particular, is rendering existing solutions to store and analyze data impractical.A prime example is Phenomic AI, a pioneering biotech company targeting the tumor stroma, a complex barrier that surrounds cancer cells and stops medicines from working. At the core of Phenomic AI’s work is a target discovery platform where scientists can apply machine learning to single cell data amassed at scale, enabling the discovery of novel stromal targets

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