Dynamic

NewSQL vs PostgreSQL

Developers should learn and use NewSQL databases when building applications that require both horizontal scalability for large datasets and high transaction rates, along with strict data consistency and complex SQL queries, such as in financial systems, e-commerce platforms, or real-time analytics meets use postgresql when you need robust transactional integrity, complex queries, or extensibility through custom functions and data types, such as in financial systems or geospatial applications. Here's our take.

🧊Nice Pick

NewSQL

Nice Pick

Pros

+It bridges the gap between traditional SQL databases, which can be limited in scalability, and NoSQL databases, which often sacrifice consistency or query flexibility
+Related to: sql, distributed-systems

Cons

-Specific tradeoffs depend on your use case

PostgreSQL

Use PostgreSQL when you need robust transactional integrity, complex queries, or extensibility through custom functions and data types, such as in financial systems or geospatial applications

Pros

+It is not the right pick for simple key-value storage or high-throughput write scenarios where NoSQL databases like Cassandra might outperform it
+Related to: sql, supabase

Cons

-Specific tradeoffs depend on your use case

The Verdict

Use NewSQL if: You want it bridges the gap between traditional sql databases, which can be limited in scalability, and nosql databases, which often sacrifice consistency or query flexibility and can live with specific tradeoffs depend on your use case.

Use PostgreSQL if: You prioritize it is not the right pick for simple key-value storage or high-throughput write scenarios where nosql databases like cassandra might outperform it over what NewSQL offers.

🧊

The Bottom Line

NewSQL wins

Learn about NewSQL →Learn about PostgreSQL →