Solution

As digital services become more intelligent, personalized, and data-intensive, the infrastructure supporting them must evolve as well. Today’s applications aren’t just storing data, they’re making real-time decisions on it, often across globally distributed environments with high user concurrency and strict uptime requirements. Amazon Aurora, a fully managed relational database from AWS, is a common choice […]

Designing intuitive navigation in a cloud database platform is no small task. TiDB Cloud offers powerful features, but as capabilities expand, so does the complexity of its interface. Users often work across multiple roles, organizations, and environments. If they can’t find what they need quickly, it slows them down and weakens their trust in the […]

From the outset, Prometheus has served as a go-to tool for real-time performance metric collection, storage, querying, and observability in TiDB. Additionally, TiDB supports offline diagnostics using TiDB Clinic, which allows for replaying collected metrics to investigate historical issues. Figure 1. How TiDB Clinic provides offline diagnostics. However, as deployments scaled, so did the challenges […]

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]