We performed a comparison between Cassandra and Elastic Search 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 solution's database capabilities are very good."
"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 of this solution are its speed and distributed nature."
"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."
"A consistent solution."
"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 time series data was one of the best features along with auto publishing."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"Gives us a more user-friendly, centralized solution (for those who just needed a quick glance, without being masters of sed and awk) as well as the ability to implement various mechanisms for machine-learning from our logs, and sending alerts for anomalies."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"It is stable."
"Data indexing of historical data is the most beneficial feature of the product."
"It is easy to scale with the cluster node model."
"The initial setup is very easy for small environments."
"The disc space is lacking. You need to free it up as you are working."
"The solution is limited to a linear performance."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"Fine-tuning was a bit of a challenge."
"There could be more integration, and it could be more user-friendly."
"Doesn't support a solution that can give aggregation."
"The secondary index in Cassandra was a bit problematic and could be improved."
"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."
"We'd like more user-friendly integrations."
"They're making changes in their architecture too frequently."
"The one area that can use improvement is the automapping of fields."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"The reports could improve."
"There is an index issue in which the data starts to crash as it increases."
Cassandra is ranked 11th in Vector Databases with 19 reviews while Elastic Search is ranked 1st in Vector Databases with 59 reviews. Cassandra is rated 8.0, while Elastic Search is rated 8.2. 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 Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Cassandra is most compared with Couchbase, MongoDB, InfluxDB, ScyllaDB and Oracle NoSQL, whereas Elastic Search is most compared with Faiss, Milvus, Pinecone, Azure Search and Amazon Kendra. See our Cassandra vs. Elastic Search 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.
