Apache Cassandra vs MongoDB : Which is Better?
Apache Cassandra VS MongoDB
MongoDB is a flexible document-based database ideal for applications requiring rich queries and ACID transactions, while Apache Cassandra excels in high availability and scalability for large distributed datasets with a focus on write performance and tunable consistency.
Apache Cassandra
Pros:
- High write and read throughput
- Linear scalability across multiple nodes
- Tunable consistency levels
- Excellent for large-scale deployments
- Fault tolerance and high availability
Cons:
- Steeper learning curve
- Less flexible query language
- No support for joins and aggregations
- Requires careful data modeling
- Eventual consistency can be challenging for some use cases
MongoDB
Pros:
- Flexible schema design
- Rich query capabilities with aggregation framework
- Strong consistency with ACID transactions
- Good support for geospatial queries
- Active community and extensive documentation
Cons:
- Scaling can be complex
- Limited support for complex transactions
- Higher memory usage for certain operations
- Default data distribution can lead to hotspots
- May require more resources for high availability
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