BagelDB

Delaware City, United States Founded: 2023 • Age: 3 yrs
Blockchain-based app development platform for AI data

About BagelDB

BagelDB is a company based in Delaware City (United States) founded in 2023. BagelDB offers products and services including Bagel Platform and Modular Models. BagelDB operates in a competitive market with competitors including DataStax, Weaviate, Qdrant, LanceDB and SeMI Technologies, among others.

Operational Areas

Products & Services of BagelDB

BagelDB offers a comprehensive portfolio of products and services, including Bagel Platform and Modular Models.

Bagel Platform
AI Training Service

Enables collaborative and verifiable open-source AI model training.

Modular Models
AI Development Tool

Facilitates building domain-specific AI models via contributions.

Competitors of BagelDB

BagelDB operates in a dynamic and competitive business environment, facing competition from various established players and emerging companies in the market. The competitive landscape includes prominent companies such as DataStax, Weaviate, Qdrant, LanceDB and SeMI Technologies, among others.

Company NameDomainFoundedHQ LocationTotal fundingEmployeesDescription
datastax.com2010Santa Clara, United States$305M422
Cloud based database platform for enterprises
weaviate.io2019Amsterdam, Netherlands$50M–
Vector database for AI-powered search and applications is developed.
qdrant.tech2020Berlin, Germany$37.77M–
AI-powered vector database for data search and management.
lancedb.com2022San Francisco, United States$44M–
Developer of a unified data platform designed for multimodal data
semi.technology2019Amsterdam, Netherlands$17.6M–
Offers AI and cloud-based storage solutions for objects and vectors.
superduperdb.com2023Berlin, Germany$1.75M–
Open source based vector database for AI app development
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Detailed competitors of BagelDB

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Similar companies to BagelDB

10 companies that operate in the same segment as BagelDB (Database Technology), ranked by their profile score on The Company Check.

CompanyDescriptionFoundedLocationTotal fundingRevenueEmployees
A cloud-based database-as-a-service platform is provided for application development.
2007New York, New York, United StatesUSD 586.72 MUSD 2.46 B5,560
Cloud and application performance management platform is provided.
2010New York, New York, United StatesUSD 147.19 MUSD 2.68 B6,500
POS solutions are provided for retail businesses.
2009San Francisco, California, United StatesUSD 519.75 M––
Hybrid cloud infrastructure solutions are delivered for business management.
1977Austin, Texas, United States–USD 1.79 B8,890
AI-powered database service is provided for enterprise data management.
2009Mountain View, California, United StatesUSD 251 MUSD 209.47 M792
Cloud based database platform for enterprises
2010Santa Clara, California, United StatesUSD 305 M–422
EDB is recognized as a leading contributor to PostgreSQL solutions.
2004Bedford, United StatesUSD 83.91 MUSD 16.13 M210
Cloud based open-source application backend development platform
2020Singapore, SingaporeUSD 1.15 B––
In-memory database platform is operated as a cloud-based service.
2011Mountain View, California, United StatesUSD 415 M––
Open-source cloud-native distributed NewSQL databases are provided.
2015New York, New York, United StatesUSD 632.85 M––
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Frequently Asked Questions about BagelDB

BagelDB was founded in 2023.

BagelDB is headquartered in Delaware City, United States. It is registered at Delaware City, Delaware, United States.

BagelDB was founded in 2023 in Delaware City, United States, as a blockchain-based platform focused on AI data management. Vector datasets are created, shared, and maintained through this system, which operates in the blockchain and AI sectors. Services include support for private projects by independent developers, internal team collaborations within enterprises, and public data contributions via DAOs. Operations emphasize secure, decentralized handling of AI-related data resources.

BagelDB's top competitors include DataStax, Weaviate and Qdrant.

BagelDB offers Bagel Platform and Modular Models.

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