We performed a comparison between Cassandra and Redis 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 most valuable features of this solution are its speed and distributed nature."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"I am getting much better performance than relational databases."
"We can add almost one million columns to the solution."
"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 technical evaluation is very good."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"Our primary use case for the solution is testing."
"Redis is a simple, powerful, and fast solution."
"Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you use Redis efficiently."
"The in-memory data makes it fast."
"The ability to fetch and save data quickly is valuable."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"The online interface is very fast and easy to use."
"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."
"Interface is not user friendly."
"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 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."
"The solution is limited to a linear performance."
"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."
"Cassandra could be more user-friendly like MongoDB."
"Doesn't support a solution that can give aggregation."
"If we use a lot of data, it will eventually cost us a lot."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"There is a lack of documentation on the scalability of the solution."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."
"It's actually quite expensive."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
Cassandra is ranked 11th in Vector Databases with 19 reviews while Redis is ranked 4th in Vector Databases with 9 reviews. Cassandra is rated 8.0, while Redis 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 Redis writes "Enables efficient caching and helps users fetch and save data quickly". Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas Redis is most compared with Google Cloud Memorystore, Amazon SQS, ActiveMQ, Chroma and Faiss. See our Cassandra vs. Redis report.
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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.
