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Faiss vs Weaviate Enterprise Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Faiss
Ranking in Vector Databases
5th
Average Rating
8.0
Reviews Sentiment
3.3
Number of Reviews
3
Ranking in other categories
Open Source Databases (13th)
Weaviate Enterprise Cloud
Ranking in Vector Databases
16th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Vector Databases category, the mindshare of Faiss is 5.9%, down from 15.3% compared to the previous year. The mindshare of Weaviate Enterprise Cloud is 2.1%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Kalindu Sekarage - PeerSpot reviewer
Integration improves accuracy and supports token-level embedding
The best features FAISS offers for my team include seamless integration with Colbert and the ability to use FAISS via the Ragatouille framework, which is tailor-made for using the Colbert model. Feature-wise, FAISS allows for more accurate result retrieval, and retrieval speed is also good when comparing the index size. Regarding features, I also emphasize that the usability of FAISS is very seamless, particularly its integration with Colbert and Ragatouille. FAISS has positively impacted my organization by helping us increase the accuracy of retrieval documents; when we store documents in token-level embedding, the accuracy will be high. Additionally, we do not need any external server to host FAISS, allowing us to integrate it with our backend framework, making it a very flexible framework.
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
14%
Manufacturing Company
8%
University
8%
Comms Service Provider
11%
Computer Software Company
10%
Media Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What do you like most about Faiss?
I used Faiss as a basic database.
What needs improvement with Faiss?
I didn't know what algorithm was being learned to fetch my query. It would be beneficial if I could set a parameter and see different query mechanisms being run. I can then compare the results to s...
Ask a question
Earn 20 points
 

Comparisons

 

Overview

 

Sample Customers

1. Facebook 2. Airbnb 3. Pinterest 4. Twitter 5. Microsoft 6. Uber 7. LinkedIn 8. Netflix 9. Spotify 10. Adobe 11. eBay 12. Dropbox 13. Yelp 14. Salesforce 15. IBM 16. Intel 17. Nvidia 18. Qualcomm 19. Samsung 20. Sony 21. Tencent 22. Alibaba 23. Baidu 24. JD.com 25. Rakuten 26. Zillow 27. Booking.com 28. Expedia 29. TripAdvisor 30. Rakuten 31. Rakuten Viber 32. Rakuten Ichiba
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
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