Qdrant
Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ .
Some of the top features or benefits of Qdrant are: Advanced Filtering, On-disc Storage, Scalar Quantization, Product Quantization, Binary Quantization, Sparse Vectors, and Hybrid Search. You can visit the info page to learn more.
- Open Source
- Freemium
- Free Trial
- Official Pricing
- Linux
- Windows
- Kubernetes
- Docker
Best Qdrant Alternatives & Competitors in 2025
The best Qdrant alternatives based on verified products, community votes, reviews and other factors.
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12
Open-Source Alternatives.
Latest update:
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Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
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Store, search, rank and organize big data
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The most intuitive platform to manage projects and teamwork
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Welcome to Weaviate
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TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in. Easy-to-use search engine loved by developers of all skill levels.
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Ultra relevant, instant, and typo-tolerant full-text search API
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With an Elastic line of credit, you can borrow the amount you need -- whenever your need it. Avoid the long-lines and apply with Elastic through our quick and secure application process today.
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Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
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Typo tolerant, delightfully simple, open source search 🔍
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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Elasticsearch is an open source, distributed, RESTful search engine.
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AI-powered search engine
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Data Infrastructure for AI Made Easy
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Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.