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."The time series data was one of the best features along with auto publishing."
"A consistent solution."
"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 features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"The technical evaluation is very good."
"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."
"The most valuable features of this solution are its speed and distributed nature."
"Some of the valued features of this solution are it has good performance and failover."
"The product has better performance and stability compared to one of its competitors."
"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."
"The solution doesn't have joins between tables so you need other tools for that."
"There could be more integration, and it could be more user-friendly."
"The solution is limited to a linear performance."
"Interface is not user friendly."
"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."
"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."
"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.
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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.
