Apache Cassandra vs MongoDB
Developers should learn and use Apache Cassandra when building applications that demand high write throughput, fault tolerance, and global scalability, such as IoT platforms, real-time analytics, messaging systems, and recommendation engines meets mongodb is widely used in the industry and worth learning. Here's our take.
Apache Cassandra
Developers should learn and use Apache Cassandra when building applications that demand high write throughput, fault tolerance, and global scalability, such as IoT platforms, real-time analytics, messaging systems, and recommendation engines
Apache Cassandra
Nice PickDevelopers should learn and use Apache Cassandra when building applications that demand high write throughput, fault tolerance, and global scalability, such as IoT platforms, real-time analytics, messaging systems, and recommendation engines
Pros
- +It is ideal for scenarios where data is time-series or event-driven, and when strong consistency can be traded for eventual consistency to achieve better performance and availability
- +Related to: nosql, distributed-systems
Cons
- -Specific tradeoffs depend on your use case
MongoDB
MongoDB is widely used in the industry and worth learning
Pros
- +Widely used in the industry
- +Related to: mongoose, nodejs
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Apache Cassandra if: You want it is ideal for scenarios where data is time-series or event-driven, and when strong consistency can be traded for eventual consistency to achieve better performance and availability and can live with specific tradeoffs depend on your use case.
Use MongoDB if: You prioritize widely used in the industry over what Apache Cassandra offers.
Developers should learn and use Apache Cassandra when building applications that demand high write throughput, fault tolerance, and global scalability, such as IoT platforms, real-time analytics, messaging systems, and recommendation engines
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