We performed a comparison between Cassandra and Faiss based on real PeerSpot user reviews.
Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The time series data was one of the best features along with auto publishing."
"I am satisfied with the performance."
"The solution's database capabilities are very good."
"We can add almost one million columns to the solution."
"Some of the valued features of this solution are it has good performance and failover."
"I am getting much better performance than relational databases."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"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."
"I used Faiss as a basic database."
"The product has better performance and stability compared to one of its competitors."
"The disc space is lacking. You need to free it up as you are working."
"Fine-tuning was a bit of a challenge."
"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."
"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."
"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."
"The solution is limited to a linear performance."
"Cassandra could be more user-friendly like MongoDB."
"Interface is not user friendly."
"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."
Cassandra is ranked 12th in Vector Databases with 19 reviews while Faiss is ranked 2nd in Vector Databases with 2 reviews. Cassandra is rated 8.0, while Faiss is rated 8.0. The top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". On the other hand, the top reviewer of Faiss writes "Provides quick query search and has a big database". Cassandra is most compared with Couchbase, MongoDB, ScyllaDB, InfluxDB and ClickHouse, whereas Faiss is most compared with Chroma, Elastic Search, Qdrant, Pinecone and MySQL. See our Cassandra vs. Faiss report.
See our list of best Vector Databases vendors.
We monitor all Vector 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.
