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Qdrant description
Qdrant is an open-source vector database designed for AI and machine learning applications. It allows your applications to store, search, and analyze large amounts of complex data, like images and text, based on their meaning and relationships to each other. This makes it ideal for building advanced search engines, recommendation systems, and AI-powered features. Qdrant prioritizes speed, scalability, and efficient use of resources.
Who is Qdrant best for
Qdrant is an open-source vector database for AI and ML applications. It excels at storing, searching, and analyzing complex data like images and text, enabling advanced search engines, recommendation systems, and AI-powered features. Qdrant prioritizes speed, scalability, and efficient resource use, making it suitable for businesses developing AI-driven solutions.
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Best for medium to large businesses (101+ employees) seeking AI/ML solutions.
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Ideal for E-commerce, IT/Software, and Marketing/Advertising.
Qdrant features
| Supported Qdrant allows adjusting database capacity by scaling up or down. |
| Supported Qdrant is a vector database designed for similarity search using various methods like ANN. |
| Supported Qdrant supports cloud scalability through vertical and horizontal scaling methods. |
| Supported Qdrant supports superior data compression with quantization and graph compression techniques. |
Qdrant pricing
The commentary is based on 2 reviews from Qdrant G2 reviews.
Qdrant offers a free tier for initial exploration. However, some users find the pricing for advanced features and larger-scale deployments to be expensive. Information on specific pricing tiers is limited.
See the Qdrant pricing page.
Qdrant alternatives
WeaviateGrows slower and has less momentum. A better Qdrant alternative for semantic search, RAG, and LLM integration.Read more
PineconeCloud-based, unlike the open-source alternative. Better rated on Glassdoor. More mature, with a larger community and more integrations.Read more
qdrant vs MilvusBetter suited for smaller businesses. Has slightly more website traffic momentum as a Qdrant alternative.Read more
Elastic Enterprise SearchBetter for keyword search and established businesses with broader needs beyond AI-specific applications. Has slower momentum but higher user ratings and more established user feedback.Read more
ArangoDBBetter for applications requiring graph, document, and key/value data models. More established, with slower growth but higher Glassdoor ratings. Users appreciate ArangoDB's multi-model approach and AQL querying, but note a steeper learning curve and potential instability in cluster mode. A better Qdrant alternative for established businesses needing versatile data management.Read more
MyScaleSupports SQL, simplifying integration with existing systems for AI-powered application development. Geared towards broader business use cases, not just vector search. Has slower momentum compared to Qdrant.Read more
Qdrant FAQ
What is Qdrant and what does Qdrant do?
Qdrant is an open-source vector database for AI and machine learning applications. It enables efficient storage, search, and analysis of complex data like images and text, facilitating advanced search engines, recommendation systems, and AI-powered features. It's known for speed, scalability, and resource efficiency.
How does Qdrant integrate with other tools?
Qdrant integrates with other tools through its API and client libraries, available for Python, Java, Javascript, Go, and Rust. It also supports integrations with various platforms and tools within the machine learning ecosystem.
What the main competitors of Qdrant?
Qdrant competes with several vector databases and similarity search engines, including Weaviate, Pinecone, Milvus, and Faiss. These alternatives offer similar functionalities for AI-powered applications, each with its own strengths and weaknesses regarding scalability, performance, and ease of use. Some also offer cloud-based or open-source deployment options.
Is Qdrant legit?
Yes, Qdrant is a legitimate and safe open-source vector database. It's designed for AI/ML applications, enabling efficient storage and search of complex data. Positive growth trends and focus on scalability make Qdrant a reliable choice.
How much does Qdrant cost?
Qdrant's pricing information is not publicly available. Contact Qdrant directly to discuss pricing and determine if the product is worth the investment for your needs.
Is Qdrant customer service good?
There is no information available about Qdrant's customer service. However, online reviews might offer some insights.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.