The FinTech Scalability Crisis: How Distributed SQL Unlocks Innovation with Zero Downtime Operations
The FinTech industry is innovating at record speed. From embedded payments and AI-driven fraud detection to real-time credit scoring and risk analytics, financial services are becoming faster, smarter, and more personalized. But behind the scenes, many platforms are still powered by legacy databases and architectures built for a different era. Traditional systems are struggling to […]
TiDB Cloud’s New Navigation: Built for Context, Clarity, and Scale
In June 2025, TiDB Cloud introduced a major update to its console navigation. This is more than a UI refresh. It’s a foundational shift that brings the interface in line with how users actually manage distributed databases across multiple teams, projects, and environments. This redesign makes it easier to stay oriented, take action, and scale […]
TiDB Cloud Dedicated Now in Public Preview on Microsoft Azure: Distributed SQL, Anywhere You Need It
We’re excited to announce that TiDB Cloud Dedicated is now available on Microsoft Azure, in public preview. With this launch, TiDB Cloud now runs on all three major public cloud platforms—AWS, Google Cloud, and Azure—giving you greater flexibility to deploy distributed SQL where it best fits your strategy. For enterprise teams already invested in Azure, […]
How Conga Transforms Revenue Lifecycle Management with TiDB
Today’s businesses require seamless, scalable, and intelligent revenue lifecycle management solutions that can efficiently handle transactional and analytical workloads. Conga, a recognized leader in revenue management, is a pioneering company transforming the revenue operations space through a unique blend of cloud-agnostic architecture and cutting-edge hybrid transactional/analytical processing (HTAP) technology. We recently had the opportunity to […]
Improving TiDB Hash Joins: Up to 5× Faster with No Tuning Required
Hash joins are a common performance bottleneck in SQL workloads, and TiDB was no exception. In TiDB 8.5, we introduced a brand-new hash join executor that improves performance across the board. This new engine fully exploits modern hardware with multi-threaded build, vectorized probe, and a more efficient spill strategy. Internal benchmarks show it doubles the […]
TiDB Runtime Dashboard: A Detailed Analysis with Use Cases
In TiDB’s runtime environment, issues related to memory management, garbage collection (GC) behavior, and lock contention at the Go Runtime level can significantly impact system stability and performance. However, such problems are often difficult to reproduce and analyze directly. As a result, high-quality runtime monitoring metrics are essential for effective troubleshooting and performance tuning. This […]
Scaling Metadata Management: Innovations in TiDB’s Placement Driver
As TiDB scales to support larger deployments, its core metadata management hub—the Placement Driver (PD)—must evolve to meet growing demands. This post explores how TiDB addresses PD’s challenges, including scalability bottlenecks, stability risks, and storage limitations. In this post, we’ll cover: Whether you’re optimizing large-scale deployments or curious about TiDB’s architecture, this post highlights how […]
How Flipkart Scales Over 1M QPS with Zero Downtime Maintenance
This customer story is based on a technical presentation by the Flipkart engineering team at TiDB User Day India 2025. Flipkart is one of India’s largest e-commerce platforms, serving millions of users across a complex ecosystem. Its operations span the full customer journey, from product discovery to order placement, and finally to delivery. This includes […]
Building Intelligent AI Agents: A New Data Application Paradigm with MCP and TiDB
We’ve entered the Agentic AI Era—a new phase where large language models (LLMs) go beyond understanding instructions to actively making decisions and autonomously executing tasks. In this landscape, the ability to efficiently integrate LLMs with external systems, particularly databases, has become critical for building truly powerful AI applications. The Model Context Protocol (MCP) has emerged […]
Why Fresh Data, SQL, and Unified Platforms Are Your Competitive Edge for AI Applications
Delivering truly personalized AI experiences is complex. It requires Large Language Models (LLMs) to access relevant personal or organizational information and possess the intelligence to translate needs into tangible actions. This pursuit has been a key direction in GenAI application development. With foundational models like GPT-4o and DeepSeek-V2 becoming genuinely practical, their reasoning and execution […]
ACID at Scale: Why MySQL Needs a Distributed SQL Alternative
MySQL’s simplicity and robust single-instance ACID guarantees have made it a developer favorite for years. The familiar ease of use, quick installation, and a rich ecosystem contribute to its widespread adoption. InnoDB, its default storage engine, ensures Atomicity, Consistency, Isolation, and Durability (ACID), which are vital for data integrity and defined as follows: However, this […]
Managing Resource Isolation: Optimizing Performance Stability in TiDB
In complex business environments, resource isolation is critical to ensure stability, performance, and efficient resource utilization. TiDB offers robust features for resource control, allowing you to achieve efficient resource isolation across multiple levels: This blog focuses on best practices for flow-based resource isolation, helping you understand how to control and isolate workloads at runtime without […]