Qdrant vs Weaviate comparison

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Qdrant Logo
726 views|705 comparisons
Weaviate Logo
273 views|253 comparisons
Executive Summary

We performed a comparison between Qdrant and Weaviate based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases.
To learn more, read our detailed Vector Databases Report (Updated: April 2024).
769,976 professionals have used our research since 2012.
Ranking
12th
out of 21 in Vector Databases
Views
726
Comparisons
705
Reviews
0
Average Words per Review
0
Rating
N/A
13th
out of 21 in Vector Databases
Views
273
Comparisons
253
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Vector Databases
April 2024
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases. Updated: April 2024.
769,976 professionals have used our research since 2012.
Comparisons
Faiss logo
Compared 27% of the time.
Chroma logo
Compared 15% of the time.
Pinecone logo
Compared 12% of the time.
LanceDB logo
Compared 12% of the time.
Redis logo
Compared 6% of the time.
Elastic Search logo
Compared 22% of the time.
OpenSearch logo
Compared 18% of the time.
PostgreSQL logo
Compared 12% of the time.
Redis logo
Compared 11% of the time.
Vespa logo
Compared 11% of the time.
Learn More
Qdrant
Video Not Available
Overview

Qdrant is a powerful tool for efficiently organizing and searching large volumes of data. It is particularly useful for tasks such as data indexing, similarity search, and recommendation systems. 

With fast and accurate results, it is suitable for various applications including e-commerce, content management, and data analysis. Users appreciate Qdrant's efficient search capabilities, high performance, and ease of use. 

Its quick and accurate retrieval of relevant information allows for easy navigation and analysis of large datasets. 

The intuitive interface and straightforward setup process make it accessible to users with varying levels of technical expertise.

Weaviate is a powerful tool for enhancing data search and analysis. Users can utilize Weaviate to improve search functionality, organize and connect data, and enable efficient data exploration and retrieval. 

Its valuable features include powerful search capabilities, efficient data organization, and seamless integration with various platforms. Weaviate allows users to easily search and retrieve relevant information from large datasets, making it a valuable tool for data analysis and decision-making. It also efficiently organizes and structures data, enabling effective data management and manipulation. 

Weaviate's seamless integration with different platforms facilitates easy collaboration and data sharing across systems.

Sample Customers
1. Airbnb 2. Amazon 3. Apple 4. BMW 5.Cisco 6. CocaCola 7. Dell 8. Disney 9. Google 10. HP 11. IBM 12. Intel 13. JPMorgan Chase 14. Kraft Heinz 15. L'Oreal 16. McDonalds 17. Merck 18. Microsoft 19. Nike20. Oracle 21. PG 22. PepsiCo 23. Procter and Gamble 24. Samsung 25. Shell 26. Sony 27. Toyota 28. Visa 29. Walmart 30. WeWork
1. KLM Royal Dutch Airlines 2. Rabobank 3. Philips 4. ING Bank 5. ABN AMRO Bank 6. Booking.com 7. TomTom 8. Randstad 9. Heineken 10. Shell 11. Unilever 12. ASML 13. Ahold Delhaize 14. DSM 15. AkzoNobel 16. VodafoneZiggo 17. NXP Semiconductors 18. Signify 19. Wolters Kluwer 20. Adyen 21. Aegon 22. Arcadis 23. ASR Nederland 24. BAM Group 25. Boskalis 26. Corbion 27. Fugro 28. Galapagos 29. GrandVision 30. IMCD Group 31. Kendrion 32. OCI
Top Industries
VISITORS READING REVIEWS
Computer Software Company15%
Financial Services Firm9%
Educational Organization8%
University8%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business29%
Midsize Enterprise13%
Large Enterprise58%
No Data Available
Buyer's Guide
Vector Databases
April 2024
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases. Updated: April 2024.
769,976 professionals have used our research since 2012.

Qdrant is ranked 12th in Vector Databases while Weaviate is ranked 13th in Vector Databases. Qdrant is rated 0.0, while Weaviate is rated 0.0. On the other hand, Qdrant is most compared with Faiss, Chroma, Pinecone, LanceDB and Redis, whereas Weaviate is most compared with Elastic Search, OpenSearch, PostgreSQL, Redis and Vespa.

See our list of best Vector Databases vendors.

We monitor all Vector Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.