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 feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use.
Chief Technology Officer at a comms service provider with 1-10 employees
Real User
2022-03-09T17:04:11Z
Mar 9, 2022
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.
Cassandra is a distributed and scalable database management system used for real-time data processing.
It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.
It is commonly used in finance, e-commerce, and social media industries.
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.
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.
Our primary use case for the solution is testing.
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.
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.
Some of the valued features of this solution are it has good performance and failover.
The time series data was one of the best features along with auto publishing.
The solution's database capabilities are very good.
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.