We performed a comparison between Cassandra and Faiss based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector Databases."Our primary use case for the solution is testing."
"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."
"I am getting much better performance than relational databases."
"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."
"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."
"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 time series data was one of the best features along with auto publishing."
"The most valuable features of this solution are its speed and distributed nature."
"The product has better performance and stability compared to one of its competitors."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"The secondary index in Cassandra was a bit problematic and could be improved."
"Interface is not user friendly."
"The disc space is lacking. You need to free it up as you are working."
"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."
"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."
"Doesn't support a solution that can give aggregation."
"Cassandra could be more user-friendly like MongoDB."
"It could be more accessible for handling larger data sets."
Cassandra is ranked 11th in Vector Databases with 19 reviews while Faiss is ranked 2nd in Vector Databases with 1 review. Cassandra is rated 8.0, while Faiss is rated 7.0. 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 "Works efficiently with smaller data sets, there could be an integration with automated products ". Cassandra is most compared with Couchbase, InfluxDB, MongoDB and ScyllaDB, whereas Faiss is most compared with Chroma, Elastic Search, Qdrant, Pinecone and MySQL.
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.
