Essential Guide to Databases

High Availability in Distributed Databases: How TiDB Keeps Your Data Always On

In today’s digital-first world, even a few seconds of downtime can cause major disruptions—lost revenue, customer churn, and damaged trust. That’s why high availability (HA) is essential for any mission-critical system, especially distributed databases. While distributed systems are designed for scalability and fault tolerance, ensuring consistent uptime across complex, multi-node environments is anything but simple. […]

Building a RAG Application from Scratch: Evaluation and Deployment

Before We Dive In In this RAG Application Guide, we’ll walk you through building a RAG application from scratch, empowering you to harness its potential for more effective and human-like interactions. Having built the core components of your RAG application, it’s essential to evaluate its performance and ensure it meets your objectives. This part will […]

Building a RAG Application from Scratch: Understanding RAG and Preparing Your Data

Getting Started Retrieval-Augmented Generation (RAG) combines the strengths of large language models with external knowledge sources to produce more accurate, grounded, and context-aware outputs. If you’re just getting started, this guide walks you through the essential foundations—what RAG is, how it works, and how to prepare your data for use in a RAG pipeline. From […]

Choosing the Right Data Infrastructure for AI: Vector vs Traditional Databases vs Hybrid

Building advanced AI applications today, especially those leveraging generative AI (GenAI) and retrieval-augmented generation (RAG), presents a new frontier in data challenges. At the heart of these innovations are vector embeddings—rich, high-dimensional numerical representations that capture the intricate semantic meanings within your data. Traditional databases, designed for structured rows and columns, often struggle to efficiently handle these vectors, […]

Approximate Nearest Neighbor (ANN) Search Explained: IVF vs HNSW vs PQ

What Is Approximate Nearest Neighbor (ANN) Search? Approximate Nearest Neighbor (ANN) search has become essential for applications dealing with high-dimensional data—think natural language processing, image recognition, and recommendation engines. For a deeper understanding of TiDB’s approach, visit our Vector Search Overview. Unlike exact methods, ANN strikes a practical balance between speed and accuracy, making it […]

How Distributed Databases Help You Scale Applications Seamlessly

The ability to scale applications seamlessly is paramount for organizations aiming to meet growing user demands and data volumes. Traditional monolithic databases often falter under such pressures, leading to performance bottlenecks and limited scalability. Enter distributed databases, like TiDB, designed to handle massive workloads with high availability and strong consistency. TiDB stands out by supporting Hybrid Transactional and Analytical […]

Distributed Database Use Cases: Real-World Applications

In today’s fast-paced digital world, distributed databases have emerged as a cornerstone for businesses looking to scale and perform efficiently under high demands. They address complexities ranging from high availability to data consistency across various geographical locations. Here, we’ll dive into some compelling real-world applications where distributed databases, particularly TiDB, have been transformative. E-commerce: High […]

Distributed SQL vs NoSQL: What’s Right for Your Application?

Modern applications demand scale, speed, and flexibility—pushing databases to evolve. Two dominant models have emerged: Distributed SQL and NoSQL. Each has strengths suited to specific workloads. This guide will break down how they compare, so you can make the right choice for your application. SQL vs NoSQL: The Foundations SQL databases (e.g., MySQL, PostgreSQL, Oracle) […]

What Is a Distributed Database? A Complete Guide

A distributed database stores data across multiple servers (or nodes) in different locations but appears as a single system. It improves availability, scalability, and fault tolerance—critical for cloud-native, AI-powered, and globally distributed modern applications. Historical Evolution of Distributed Databases The journey of databases began with centralized relational systems like Oracle and MySQL, which provided strong […]