We performed a comparison between Cassandra and Pinecone based on real PeerSpot user reviews.
Find out what your peers are saying about Elastic, Meta, Chroma and others in Vector 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."
"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 solution's database capabilities are very good."
"A consistent solution."
"We can add almost one million columns to the solution."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"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 features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"We chose Pinecone because it covers most of the use cases."
"The disc space is lacking. You need to free it up as you are working."
"Doesn't support a solution that can give aggregation."
"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."
"Cassandra could be more user-friendly like MongoDB."
"The solution doesn't have joins between tables so you need other tools for that."
"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 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."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"Onboarding could be better and smoother."
"The product fails to offer a serverless type of storage capacity."
Cassandra is ranked 11th in Vector Databases with 19 reviews while Pinecone is ranked 5th in Vector Databases with 2 reviews. Cassandra is rated 8.0, while Pinecone 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 Pinecone writes "A reliable cloud solution for building an ERP dashboard". Cassandra is most compared with Couchbase, InfluxDB, MongoDB, ScyllaDB and Oracle NoSQL, whereas Pinecone is most compared with OpenSearch, Faiss, Elastic Search, Qdrant and SingleStore.
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.
