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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
14th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
23
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 March 2025, in the Vector Databases category, the mindshare of Cassandra is 1.7%, down from 2.5% compared to the previous year. The mindshare of Faiss is 10.6%, down from 17.3% 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

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."
"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."
"We can add almost one million columns to the solution."
"A consistent solution."
"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"Some of the valued features of this solution are it has good performance and failover."
"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."
"The technical evaluation is very good."
"The product has better performance and stability compared to one of its competitors."
"I used Faiss as a basic database."
 

Cons

"The disc space is lacking. You need to free it up as you are working."
"The solution doesn't have joins between tables so you need other tools for that."
"Fine-tuning was a bit of a challenge."
"Batching bulk data can cause performance issues."
"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."
"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."
"Cassandra could be more user-friendly like MongoDB."
"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

"We pay for a license."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"I use the tool's open-source version."
"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."
"Faiss is an open-source solution."
"It is an open-source tool."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
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?
Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem. About a year ago, we were unable to recover data without help from a senior Dev...
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

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Find out what your peers are saying about Cassandra vs. Faiss and other solutions. Updated: March 2025.
842,690 professionals have used our research since 2012.