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CrateDB vs Faiss comparison

 

Comparison Buyer's Guide

Executive Summary

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

CrateDB
Ranking in Open Source Databases
20th
Average Rating
7.6
Reviews Sentiment
5.0
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Faiss
Ranking in Open Source Databases
12th
Average Rating
8.0
Reviews Sentiment
3.3
Number of Reviews
3
Ranking in other categories
Vector Databases (13th)
 

Mindshare comparison

As of July 2026, in the Open Source Databases category, the mindshare of CrateDB is 1.0%, up from 0.5% compared to the previous year. The mindshare of Faiss is 3.2%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Faiss3.2%
CrateDB1.0%
Other95.8%
Open Source Databases
 

Featured Reviews

FC
product owner at a manufacturing company with 10,001+ employees
Data platform has delivered real-time casino gameplay insights but still needs broader expertise
The best features CrateDB offers in my experience include many functionalities that allow you to purge data, maintain data, keep the database clean and essentially updated. CrateDB also allows us to store many records, and I think the performance is very strong compared to other databases or technologies. CrateDB's performance stood out for me as it allowed me to query results in less than seconds, which was optimal and enabled real-time analytics. I found it to be a very distributed SQL engine, which was beneficial considering our specific requirements. It supports multi-model and flexible schemas for structured and semi-structured data, JSON, time series for loads, and BLOBs, along with integrated performance improvements and faster ingestion than what I recall from other databases, plus better query optimizations. CrateDB has positively impacted my organization by allowing us to store several years of gameplay from our Asian customers, which involves millions and millions of records generated every day. Positively, we did not experience significant downtimes or outages, meaning the gameplay was not affected at all during these two years.
Kalindu Sekarage - PeerSpot reviewer
Senior Software Engineer
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.

Quotes from Members

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

Pros

"CrateDB fit into my project very well as it was an excellent database that allowed me to query analyses I did not think I would be able to perform."
"CrateDB has positively impacted my organization by allowing us to store several years of gameplay from our Asian customers, which involves millions and millions of records generated every day, and we did not experience significant downtimes or outages, meaning the gameplay was not affected at all during these two years."
"CrateDB positively impacted my organization by reducing the time needed for processes, and its impressive scalability made it easy to start with one server and then horizontally scale to multiple nodes to retrieve data, which helped my company gain more customers."
"I used Faiss as a basic database."
"The product has better performance and stability compared to one of its competitors."
 

Cons

"CrateDB can be improved as it is not very popular, which means there are not many people dedicated or experienced with this particular technology, making it less usable or suitable for many companies."
"One area for improvement in CrateDB could be the command line interface, as sometimes it was not very easy to understand."
"CrateDB was good regarding scalability, though not excellent."
"It could be more accessible for handling larger data sets."
"It would be beneficial if I could set a parameter and see different query mechanisms being run."
"One of the drawbacks of Faiss is that it works only in-memory. If it could provide separate persistent storage without relying on in-memory, it would reduce the overhead."
 

Pricing and Cost Advice

Information not available
"Faiss is an open-source solution."
"It is an open-source tool."
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Top Industries

By visitors reading reviews
University
21%
Computer Software Company
16%
Comms Service Provider
9%
Manufacturing Company
9%
Financial Services Firm
15%
Comms Service Provider
9%
Manufacturing Company
9%
Computer Software Company
9%
 

Company Size

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

Questions from the Community

What is your experience regarding pricing and costs for CrateDB?
CrateDB was free when I used it, so there was no pricing associated with it, as we used the free version.
What needs improvement with CrateDB?
I wanted to use CrateDB for visualization as well, but it did not provide what I needed, so we had to opt for Grafana for the visualization instead. Regarding needed improvements, I was quite able ...
What is your primary use case for CrateDB?
I used CrateDB for a one-off project from April to August in 2025. My main use case was a digital twin project designed to create a FIWARE-based application with a focus on optimizing the data mana...
What is your experience regarding pricing and costs for Faiss?
I did not purchase FAISS through the AWS Marketplace because FAISS is an open-source product. My experience with pricing, setup cost, and licensing is straightforward, as there is no cost for acqui...
What needs improvement with Faiss?
I currently do not think there is anything to be improved based on our experience, as Faiss performs as we expected for our workflow. I would like to see improvement in the fact that FAISS currentl...
What is your primary use case for Faiss?
My main use case for FAISS is in a retrieval-augmented generation project using it with OpenAI, where we use FAISS to store our embeddings created by the Colbert model and for retrieval as well. In...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
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
Find out what your peers are saying about CrateDB vs. Faiss and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.