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7 Proven Strategies to Boost PostgreSQL Performance

Contains some unconventional strategies to optimize your Database Performance

6 min readMar 29, 2025

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Scaling both your application and database can be quite a task. Often, you’ll find that your legacy code and database schema aren’t optimized to handle increasing loads.

Even a small increase in query runtime, from 1 ms to 4 ms, can significantly impact your overall turnaround time (TAT).

As a database engineer, staying proactive is key to optimizing your database schema and maintaining optimal performance without constantly scaling up your DB instances.

In this article, I’ll share my experiences on keeping your database healthy without relying solely on adding more vCPUs.

Indexing: The Go-To Optimization Strategy

Indexing is every engineer’s first instinct when optimizing search queries. Essentially, the database trades off time complexity for space complexity — retrieving data becomes faster, but at the cost of additional storage.

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Data Science Collective
Data Science Collective

Published in Data Science Collective

Advice, insights, and ideas from the Medium data science community

Aayush Ostwal
Aayush Ostwal

Written by Aayush Ostwal

Sr. AI Engineer at Qure.ai| Enthusiastic ML practitioner | IIT Kanpur | Drama Lover | Website: https://aayushostwal.com/

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