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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.

🧊Nice Pick

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 Pick

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

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.

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The Bottom Line
NewSQL wins

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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