Jethish

Recently Postgres 16 has launched and I have picked the most interesting feature in this blog.

PostgreSQL 17 is here to revolutionize your database experience! Packed with enhanced performance, cutting-edge features, and improved scalability, this release is designed to meet the evolving demands of modern applications. Whether you're handling complex queries or scaling to new heights, PostgreSQL 17 brings unparalleled reliability and efficiency to your data management solutions.

PostgreSQL itself does not have built-in load balancing, but there are several ways to achieve load balancing in a PostgreSQL setup using external tools.

Revolutionize your database management with PostgreSQL 17! Experience faster, smarter, and more efficient backups with the power of incremental backup. Reduce storage, save time, and ensure seamless recovery – the future of PostgreSQL backup starts here!

This illustration represents the power of mysql_fdw in enabling smooth data exchange and real-time connectivity between MySQL and PostgreSQL. A perfect solution for cross-database operations and data integration!

Unlock effortless database evolution with pg_osc, making schema changes in PostgreSQL smoother, faster, and error-free.

Choosing the Right Replication Type in PostgreSQL – Understand the key differences between Streaming and Logical Replication, their best use cases, and how to implement them effectively for high availability, scalability, and disaster recovery.

Why memorize SQL queries when \d, \l, and \dx do the heavy lifting? Learn the power of PostgreSQL’s psql meta-commands today.

From routing to rewriting — ProxySQL elevates PostgreSQL. Explore how we did it, step-by-step. Power up your PostgreSQL with ProxySQL's smart features!Query rewrite, dual auth, caching, and more — all in action.

Cutting Query Time from 10 Minutes to Under 1 Second – How Functional Indexes Helped Us Optimize Aurora PostgreSQL and Stabilize CPU Performance.

PostgreSQL 18: Efficiency, security, and reliability, all in one upgrade

PostgreSQL uses a process-per-connection model, which can limit scalability in high-traffic environments. Connection poolers help manage this challenge by reusing database connections efficiently. This blog compares PgBouncer and Odyssey, two popular PostgreSQL connection poolers, highlighting their architecture, performance characteristics, configuration differences, and ideal use cases. It helps organizations choose the right pooling solution based on workload scale, complexity, and operational requirements.