Best Vector Databases Companies

Oracle provides computing infrastructure and software solutions across various business sectors. The company offers an autonomous database for data organization and security, cloud infrastructure for workload migration, and applications designed for various business needs. Oracle's services cater to a variety of sectors, including government defense, scientific research, and business operations. Oracle was formerly known as Relational Software. It was founded in 1977 and is based in Austin, Texas.

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.

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.

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.

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.

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.

Lantern focuses on providing database solutions for artificial intelligence applications. The company offers an open-source PostgreSQL database extension for vector data and vector search operations, enabling the combination of relational data and vector data in applications. This service primarily caters to sectors such as legal, enterprise, and finance, where it aids in tasks such as document recommendation, data-augmented questions and answers, and fraud detection. It was founded in 2023 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.

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.

Zilliz focuses on vector database management systems for enterprise-grade AI applications. It offers products such as Zilliz Cloud, a fully managed vector database service, and Milvus, an open-source vector database for large-scale vector similarity search. The company primarily serves sectors that require AI-powered search capabilities, such as tech companies involved in unstructured data management. It was founded in 2017 and is based in Redwood City, California.