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PostgreSQL Partitioning Made Simple: Scale Large Tables Without Pain

PostgreSQL Partitioning Made Simple: Scale Large Tables Without Pain

by Mariappan Ponnusamy | Apr 28, 2026 | General, PostgreSQL

Introduction In today’s modern applications, data is growing rapidly, often increasing day by day and even minute by minute. As a result, databases are required to handle very large volumes of data efficiently. As tables continue to grow, managing them becomes more...
ML_SCORE MySQL Guide: How to Evaluate Machine Learning Models

ML_SCORE MySQL Guide: How to Evaluate Machine Learning Models

by Mariappan Ponnusamy | Apr 21, 2026 | General

Introduction Machine learning capabilities inside MySQL HeatWave allow you to build, train, and evaluate models directly within the database environment. Traditionally, model evaluation required exporting data into external tools such as Python or specialized ML...
Still Using UUIDv4? PostgreSQL 18 Has a Better Option: UUIDv7

Still Using UUIDv4? PostgreSQL 18 Has a Better Option: UUIDv7

by Mariappan Ponnusamy | Mar 24, 2026 | General, PostgreSQL

Introduction In recent versions of PostgreSQL, we have seen many features focused on improving performance and scalability. One such important addition in PostgreSQL 18 is UUIDv7 support.UUIDs are widely used in modern applications, especially in distributed systems...
How to Unlock Faster Queries in PostgreSQL 18 with Index Skip Scan

How to Unlock Faster Queries in PostgreSQL 18 with Index Skip Scan

by Mariappan Ponnusamy | Feb 24, 2026 | General, PostgreSQL

In our previous blog, we explored Async I/O in PostgreSQL 18 and how it improves scan performance by making disk access more efficient. That feature focused on reducing I/O wait time and accelerating large table scans. In this post, we’ll examine another powerful...
How to Increase PostgreSQL 18 Speed: The Ultimate Async I/O Guide

How to Increase PostgreSQL 18 Speed: The Ultimate Async I/O Guide

by Mariappan Ponnusamy | Jan 27, 2026 | General, PostgreSQL

Introduction The database world is always trying to get faster. For a long time, one of PostgreSQL’s main performance limits especially on busy systems and modern NVMe or cloud storage has been the time spent waiting for disk reads. PostgreSQL already uses the...
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Latest to read

  • What Really Powers MongoDB? A Look at WiredTiger Cache
  • PostgreSQL Partitioning Made Simple: Scale Large Tables Without Pain
  • ML_SCORE MySQL Guide: How to Evaluate Machine Learning Models
  • MongoDB Unique Index Explained: Why You Still See Duplicate Data
  • Autoscaling Databases in Kubernetes Made Simple

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