We performed a comparison between Cassandra and Chroma 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."Can achieve continuous data without a single downtime because of node to node ring architecture."
"The most valuable features of this solution are its speed and distributed nature."
"I am getting much better performance than relational databases."
"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."
"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."
"Some of the valued features of this solution are it has good performance and failover."
"I am satisfied with the performance."
"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."
"It's very easy to set up and runs easily."
"Doesn't support a solution that can give aggregation."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"Cassandra could be more user-friendly like MongoDB."
"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."
"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."
"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 disc space is lacking. You need to free it up as you are working."
"I think Chroma doesn't have a ready-made containerized image available."
"The hybrid algorithm needs improvement."
Cassandra is ranked 12th in Vector Databases with 19 reviews while Chroma is ranked 3rd in Vector Databases with 2 reviews. Cassandra is rated 8.0, while Chroma is rated 8.6. 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 Chroma writes "Used for RAG (Retrieval-augmented generation) and provides good documentation". Cassandra is most compared with Couchbase, MongoDB, ScyllaDB, InfluxDB and Accumulo, whereas Chroma is most compared with Faiss, LanceDB, Redis, Milvus and SingleStore. See our Cassandra vs. Chroma 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.
