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 postgresql is widely used in the industry and worth learning. Here's our take.
NewSQL
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
NewSQL
Nice PickDevelopers 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
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
PostgreSQL is widely used in the industry and worth learning
Pros
- +Widely used in the industry
- +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 widely used in the industry over what NewSQL offers.
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
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