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Database Insights, Tips & Expert Blogs
Building reliable real-time MySQL streaming for analytics and AI
Author : Thiyaghu
Xstreami
This blog explains why MySQL real-time streaming has become essential for modern analytics and AI systems, and how CDC-based architectures enable reliable, observable and scalable data pipelines for fast, data-driven decisions.
MySQL Architecture Explained: Performance Tuning & Troubleshooting Guide
Author : Jethish
Mysql
MySQL features a unique tiered architecture that separates query processing from data storage through its pluggable storage engine model. This guide explores the core components—from connection handling and the SQL optimizer to the physical storage of data on disk. By understanding how engines like InnoDB provide ACID compliance and row-level locking, you can significantly improve your database's scalability. We also break down the query execution workflow and provide actionable tips for performance tuning, such as optimizing the buffer pool. Whether you're managing a replica set or a standalone instance, mastering MySQL’s internal structure is essential for building high-performance applications.
PostgreSQL Connection Pooling: PgBouncer vs Odyssey – Performance & Configuration
Author : Jethish
Postgresql
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.
MariaDB vs MySQL: What's Different in 2026 and Which One Should You Use
Author : Jelson
Mysql
Discover how MariaDB 11.x is redefining open-source databases with cutting-edge features like system-versioned tables, native AI-ready vector support, UUIDv7 for scalable inserts, and enterprise-grade security; all in the Community Edition, without the paywall.
Manage Large Data Import in TiDB
Author : Abishek S
Tidb
Managing large-scale data import in TiDB requires specialized tools and strategies due to its distributed architecture. Unlike traditional databases, TiDB must efficiently distribute data across multiple nodes while maintaining consistency and performance. TiDB Lightning is the primary high-performance tool designed for bulk data ingestion, supporting formats like CSV, Parquet, and Dumpling exports. It offers two import modes: physical mode for maximum speed during initial loads and logical mode for safer imports into active production environments. Additionally, TiDB introduces IMPORT INTO, a SQL-based import method that simplifies data loading for moderate datasets with minimal setup. This guide covers TiDB Lightning architecture, import modes, performance comparisons, complete migration workflows, and best practices to help you efficiently manage large amounts of data, avoid common failures, and choose the right import strategy for your use case.
8 Enhancing Features in PostgreSQL 18
Author : Jethish
Postgresql
PostgreSQL 18: Efficiency, security, and reliability, all in one upgrade
How to Automate Data Deletion Using TiDB TTL
Author : Shenbaga Varna S
Tidb
TiDB TTL (Time-To-Live) automatically removes expired rows based on a defined retention period. It helps manage growing datasets, reduce storage usage, and minimize the need for manual cleanup. This guide covers TTL configuration, scheduled cleanup jobs, conditional expiration, monitoring, and key limitations.
Let MongoDB Clean Up After Itself: A Complete Guide to TTL Indexes
Author : Rexcily
Mongodb
Tired of bloated log collections and messy data? TTL indexes in MongoDB automate your cleanup no cron jobs, no scripts. Learn how to set up, monitor, and optimize TTL for cleaner, faster, and self-maintaining databases.
Optimizing PostgreSQL Queries with Functional Indexes – A Real-World Case Study
Author : Jethish
Postgresql
Cutting Query Time from 10 Minutes to Under 1 Second – How Functional Indexes Helped Us Optimize Aurora PostgreSQL and Stabilize CPU Performance.
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