OpenSearch vs Qdrant comparison

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OpenSearch Project Logo
536 views|525 comparisons
Qdrant Logo
419 views|407 comparisons
Executive Summary

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

Find out what your peers are saying about Oracle, PostgreSQL, Firebird and others in Open Source Databases.
To learn more, read our detailed Open Source Databases Report (Updated: June 2024).
772,679 professionals have used our research since 2012.
Ranking
14th
Views
536
Comparisons
525
Reviews
0
Average Words per Review
0
Rating
N/A
16th
Views
419
Comparisons
407
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Open Source Databases
June 2024
Find out what your peers are saying about Oracle, PostgreSQL, Firebird and others in Open Source Databases. Updated: June 2024.
772,679 professionals have used our research since 2012.
Comparisons
Pinecone logo
Compared 31% of the time.
Faiss logo
Compared 14% of the time.
Milvus logo
Compared 11% of the time.
Redis logo
Compared 10% of the time.
Weaviate logo
Compared 4% of the time.
Faiss logo
Compared 27% of the time.
Chroma logo
Compared 14% of the time.
LanceDB logo
Compared 12% of the time.
Pinecone logo
Compared 11% of the time.
MongoDB logo
Compared 4% of the time.
Learn More
Qdrant
Video Not Available
Overview

OpenSearch is a powerful search tool that enhances search capabilities and improves data analysis. It is used for indexing and searching large volumes of data, enabling real-time monitoring and analysis, and integrating with various applications and systems. 

OpenSearch is suitable for both small-scale and enterprise-level deployments, offering flexibility and scalability. Its valuable features include robust search capabilities, an efficient indexing system, customizable dashboards, seamless integration, extensive documentation, and support. 

The open-source nature of OpenSearch fosters a vibrant community and frequent updates, ensuring continuous improvement and innovation.

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.

Sample Customers
1. Amazon 2. Netflix 3. Yelp 4. Adobe 5. IBM 6. Microsoft 7. Cisco 8. Oracle 9. Salesforce 10. eBay 11. Spotify 12. Airbnb 13. Twitter 14. LinkedIn 15. Pinterest 16. Slack 17. Dropbox 18. Expedia 19. Uber 20. Lyft 21. Square 22. Zillow 23. Reddit 24. Hulu 25. Twitch 26. Booking.com 27. Etsy 28. Groupon 29. StubHub 30. TripAdvisor 31. Wayfair 32. Zappos
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
Top Industries
VISITORS READING REVIEWS
Financial Services Firm15%
Computer Software Company14%
Manufacturing Company7%
Educational Organization6%
VISITORS READING REVIEWS
Computer Software Company18%
Financial Services Firm10%
Comms Service Provider9%
Educational Organization7%
Company Size
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise15%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business30%
Midsize Enterprise15%
Large Enterprise56%
Buyer's Guide
Open Source Databases
June 2024
Find out what your peers are saying about Oracle, PostgreSQL, Firebird and others in Open Source Databases. Updated: June 2024.
772,679 professionals have used our research since 2012.

OpenSearch is ranked 14th in Open Source Databases while Qdrant is ranked 16th in Open Source Databases. OpenSearch is rated 0.0, while Qdrant is rated 0.0. On the other hand, OpenSearch is most compared with Pinecone, Faiss, Milvus, Redis and Weaviate, whereas Qdrant is most compared with Faiss, Chroma, LanceDB, Pinecone and MongoDB.

See our list of best Open Source Databases vendors and best Vector Databases vendors.

We monitor all Open Source 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.