Apache Cassandra vs PostgreSQL

Compare features, pricing, and capabilities to find which solution is best for your needs.

Apache Cassandra icon

Apache Cassandra

Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure.

Open Source
Platforms: Mac OS X Windows Linux BSD
VS
PostgreSQL icon

PostgreSQL

PostgreSQL is a robust, open-source object-relational database system renowned for its extensibility, standards compliance, and advanced features. It is highly regarded for its reliability, data integrity, and performance, making it a popular choice for critical enterprise applications and data warehousing.

Open Source
Platforms: Mac OS X Windows Linux BSD
Screenshots:

Comparison Summary

Apache Cassandra and PostgreSQL are both powerful solutions in their space. Apache Cassandra offers apache cassandra is a highly scalable, distributed nosql database designed to handle large amounts of data across many commodity servers, providing high availability without a single point of failure., while PostgreSQL provides postgresql is a robust, open-source object-relational database system renowned for its extensibility, standards compliance, and advanced features. it is highly regarded for its reliability, data integrity, and performance, making it a popular choice for critical enterprise applications and data warehousing.. Compare their features and pricing to find the best match for your needs.

Pros & Cons Comparison

Apache Cassandra

Apache Cassandra

Analysis & Comparison

Advantages

High availability with no single point of failure.
Excellent linear scalability to handle increasing data volumes.
Fault-tolerant and resilient to node failures.
Designed for high write throughput and low-latency reads.
Tunable consistency allows balancing performance and consistency.

Limitations

Data modeling requires a different approach compared to RDBMS.
Complex transactions like multi-keyspace ACID are not supported.
Operational overhead can be high for large clusters.
CQL is not a full SQL implementation; complex queries may be challenging.
PostgreSQL

PostgreSQL

Analysis & Comparison

Advantages

Robust and feature-rich, often comparable to commercial databases.
Strong adherence to SQL standards.
Excellent data integrity and reliability with ACID compliance.
Highly extensible through custom types, functions, and extensions.
Active and supportive open-source community.
Suitable for a wide range of application sizes and complexities.

Limitations

Can have a steeper learning curve for beginners.
Performance tuning requires understanding of indexing and query optimization.

Compare with Others

Explore more comparisons and alternatives

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare
Advertisement

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare

Compare features and reviews between these alternatives.

Compare