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
Qdrant Alternatives & Competitors
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.
Key Milvus features:
High Performance Scalability Flexible Deployment Community and Support
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Store, search, rank and organize big data.
Key Vespa.ai features:
Scalability Flexibility Real-time Data Processing Open Source
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Seamless project management and collaboration for your team.
Key Hive features:
Free Trial Integrations File sharing Easy to Set-up and use
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Welcome to Weaviate.
Key Weaviate features:
Semantic Search Scalability Graph-Based Integration with AI/ML Models
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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.
Key Meilisearch features:
Speed Relevance Ease of Use Open Source
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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.
Key Elastic features:
Scalability Real-time Search and Analytics Open Source Versatile Data Support
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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 🔍.
Key Typesense features:
High Performance Easy to Set Up Real-Time Indexing Open Source
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Key MongoDB features:
Scalability Flexible Schema High Performance Rich Query Language
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Data Infrastructure for AI Made Easy.
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Elasticsearch is an open source, distributed, RESTful search engine.
Key ElasticSearch features:
Scalability Real-Time Data Full-Text Search Complex Query Support
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AI-powered search engine.
Key txtai features:
Open Source Ease of Use Versatile Functionality Scalability
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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.
Key Algolia features:
Speed Ease of Integration Customizable Relevance Scalability