Enterprise Tech / Data Management
Best Vector Databases Companies
What is Vector Databases?
The vector databases market focuses on providing databases optimized for high-dimensional, vector-based data. These databases efficiently store, manage, and query large volumes of vectors (i.e., mathematical representations of data points in multidimensional space). Vector databases cater to a wide range of applications, including machine learning, natural language processing, recommendation systems, and similarity search.
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Top Vector Databases Companies

United States / Founded Year: 1977
Oracle provides computing infrastructure and software solutions aimed at enhancing organizational efficiency. The company offers a range of products including an autonomous database for data organization and security, and Oracle Cloud Infrastructure designed for workload migration and performance. Oracle's cloud applications serve business leaders looking for tools for growth and resilience. Oracle was formerly known as Relational Software. It was founded in 1977 and is based in Austin, Texas.
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InspireXT, I-care Group, Defence Holdings, and 2 more
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Marshall Browning Hospital, Transatel, Centre for Addiction and Mental Health, and 2 more

Pinecone specializes in vector databases for artificial intelligence applications within the technology sector. The company offers a serverless vector database that enables low-latency search and management of vector embeddings for a variety of AI-driven applications. Pinecone's solutions cater to businesses that require scalable and efficient data retrieval capabilities for applications such as recommendation systems, anomaly detection, and semantic search. Pinecone was formerly known as HyperCube. It was founded in 2019 and is based in New York, New York.
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United States / Founded Year: 0000
Chroma is an AI-native company that specializes in database technology. Its main offering is an open-source embedding database that simplifies the use of embeddings for developers. The company's products are primarily utilized in the technology sector, enhancing data management and search capabilities. It was founded in 2022 and is based in San Francisco, California.
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South Korea / Founded Year: 0000
Dnotitia specializes in the development of large language models (LLMs) within the artificial intelligence sector. The company offers high-performance LLM inference services designed to operate efficiently on both low-power computing devices and data center clouds. It was founded in 2023 and is based in Seoul, South Korea.
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United States / Founded Year: 0000
Elastic provides search and analytics, offering products across various sectors, including security and observability. The company's main products include a search AI platform that provides data insights, AI-driven security analytics, and tools for observability. Elastic's products aim to meet the needs of businesses seeking search capabilities and data analytics. It was founded in 2012 and is based in San Francisco, California.

Qdrant focuses on providing vector similarity search technology, operating in the artificial intelligence and database sectors. The company offers a vector database and vector search engine, which deploys as an API service to provide a search for the nearest high-dimensional vectors. Its technology allows embeddings or neural network encoders to be turned into applications for matching, searching, recommending, and more. Qdrant primarily serves the artificial intelligence applications industry. It was founded in 2021 and is based in Berlin, Germany.

United States / Founded Year: 0000
Supabase is an open-source backend as a service company that provides a suite of tools for developers, including a Postgres database, authentication, instant Application Programming Interfaces (APIs), Edge Functions, real-time subscriptions, storage, and vector embeddings. Supabase serves the technology sector, focusing on developers seeking backend solutions. It was founded in 2020 and is based in San Francisco, California.
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Weaviate is a company that develops artificial intelligence (AI)-native databases within the technology sector. The company provides a cloud-native, open-source vector database to support AI applications. Weaviate's offerings include vector similarity search, hybrid search, and tools for retrieval-augmented generation and feedback loops. Weaviate was formerly known as SeMi Technologies. It was founded in 2019 and is based in Amsterdam, Netherlands.

Zilliz is a company that provides vector database management systems for AI applications. Its main offerings include Zilliz Cloud, a vector database service, and Milvus, an open-source vector database for vector similarity search. Zilliz serves sectors that require AI and data management solutions, including the tech industry and businesses using large-scale data analytics. It was founded in 2017 and is based in Redwood City, California.
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The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Vector Databases?
The vector databases market focuses on providing databases optimized for high-dimensional, vector-based data. These databases efficiently store, manage, and query large volumes of vectors (i.e., mathematical representations of data points in multidimensional space). Vector databases cater to a wide range of applications, including machine learning, natural language processing, recommendation systems, and similarity search.
Expert Collections
Market Map
Similar Markets
Do you compete within Vector Databases?
Reach more buyers.
Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.