Qdrant's alternatives and competitors

See how Qdrant compares to similar products. Qdrant's top competitors include Langbase, Vespa, and Pinecone.

Langbase Logo
Langbase

Langbase operates as a serverless AI developer platform that provides infrastructure for building, collaborating on, and deploying AI agents, applications, and features…

Qdrant vs. Langbase

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  • Vespa Logo

    Vespa specializes in data processing and search solutions within the AI and big data sectors. The company offers an open-source search engine and vector database that e…

    Qdrant vs. Vespa

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  • Pinecone Logo

    Pinecone specializes in vector databases for artificial intelligence applications within the technology sector. The company offers a serverless vector database that ena…

    Qdrant vs. Pinecone

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  • Weaviate Logo

    Weaviate is a company that develops artificial intelligence (AI)-native databases within the technology sector. The company provides a cloud-native, open-source vector …

    Qdrant vs. Weaviate

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  • Zilliz Logo

    Zilliz focuses on vector database management systems for enterprise-grade AI applications. It offers products such as Zilliz Cloud, a fully managed vector database serv…

    Qdrant vs. Zilliz

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  • Elastic Logo

    Elastic provides search and analytics, offering products across various sectors, including security and observability. The company's main products include a search AI p…

    Qdrant vs. Elastic

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  • Milvus Logo

    Milvus is an open-source vector database designed for GenAI applications within the technology sector. The database supports searches and can handle large volumes of ve…

    Qdrant vs. Milvus

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  • Turbopuffer Logo

    Turbopuffer is a company that specializes in providing serverless vector database solutions in the technology sector. The company's main service is a vector database bu…

    Qdrant vs. Turbopuffer

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Compare Qdrant to Competitors

Pinecone Logo
Pinecone

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.

ApertureData Logo
ApertureData

ApertureData operates within the data management infrastructure domains. The company's offerings include a database for multimodal AI that integrates vector search and knowledge graph capabilities for AI application development and data management. ApertureData serves sectors that require AI applications, including generative AI, recommendation systems, and visual data analytics. It was founded in 2018 and is based in Los Gatos, California.

Weaviate Logo
Weaviate

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.

H
Hyperspace

Hyperspace is a technology company that operates in the cloud-native database and search technology sectors. The company offers an elastic compatible search database that integrates vector and lexical search capabilities. Hyperspace serves sectors that require search solutions, such as e-commerce, fraud detection, and recommendation systems. It was founded in 2021 and is based in Tel Aviv, Israel.

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LanceDB

LanceDB operates as a serverless vector database for artificial intelligence (AI) applications. The company builds applications for generative artificial intelligence (AI), recsys, search engines, content moderation, and more. It was founded in 2022 and is based in San Francisco, California.

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Vespa

Vespa specializes in data processing and search solutions within the AI and big data sectors. The company offers an open-source search engine and vector database that enables querying, organizing, and inferring over large-scale structured, text, and vector data with low latency. Vespa primarily serves sectors that require scalable search solutions, personalized recommendation systems, and semi-structured data navigation, such as e-commerce and online services. It was founded in 2023 and is based in Trondheim, Norway.

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