Try our new research platform with insights from 80,000+ expert users

Cassandra vs Faiss comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 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

Cassandra
Ranking in Vector Databases
15th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
24
Ranking in other categories
NoSQL Databases (4th)
Faiss
Ranking in Vector Databases
5th
Average Rating
8.0
Reviews Sentiment
8.8
Number of Reviews
2
Ranking in other categories
Open Source Databases (13th)
 

Mindshare comparison

As of April 2025, in the Vector Databases category, the mindshare of Cassandra is 1.7%, down from 2.1% compared to the previous year. The mindshare of Faiss is 9.2%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

Himanshu Amodwala - PeerSpot reviewer
Well-equipped to handle a massive influx of data and billions of requests
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.
Vasu Bansal - PeerSpot reviewer
Provides quick query search and has a big database
I did not face any issues integrating Faiss with other tools. I would recommend the solution to other users. Faiss has facilitated my AI-driven project very well. I recommend that other users use it for their AI projects because it provides quick query search and has a big database. Overall, I rate the solution nine and a half out of ten.

Quotes from Members

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

Pros

"The time series data was one of the best features along with auto publishing."
"Some of the valued features of this solution are it has good performance and failover."
"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"The solution's database capabilities are very good."
"The most valuable features of this solution are its speed and distributed nature."
"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."
"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."
"The product has better performance and stability compared to one of its competitors."
"I used Faiss as a basic database."
 

Cons

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."
"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."
"The solution doesn't have joins between tables so you need other tools for that."
"Interface is not user friendly."
"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"We found some issues with the batch inserts when the data volume is large."
"It would be beneficial if I could set a parameter and see different query mechanisms being run."
"It could be more accessible for handling larger data sets."
 

Pricing and Cost Advice

"I use the tool's open-source version."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"We are using the open-source version of Cassandra, the solution is free."
"I don't have the specific numbers on pricing, but it was fairly priced."
"We pay for a license."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"Faiss is an open-source solution."
"It is an open-source tool."
report
Use our free recommendation engine to learn which Vector Databases solutions are best for your needs.
849,210 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Comms Service Provider
5%
University
5%
Computer Software Company
19%
Financial Services Firm
13%
Manufacturing Company
9%
Educational Organization
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Cassandra?
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...
What needs improvement with Cassandra?
While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be e...
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...
 

Comparisons

 

Overview

 

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
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 Cassandra vs. Faiss and other solutions. Updated: April 2025.
849,210 professionals have used our research since 2012.