Navicat Blog

Database teams have more options than ever for managing MySQL environments, but the choice often comes down to a fundamental question: should you install a desktop client on every machine, or give your team browser-based access to a centralized platform? The answer depends less on personal preference and more on how your team works, where your data lives, and how much control you need over access and security.

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Most database designers start with either a normalized relational model or a dimensional star schema, and for many applications, those approaches work perfectly well. But organizations managing large data warehouses fed by multiple source systems often hit a wall: the schema becomes brittle, historical data is hard to track, and onboarding a new data source means reworking tables that are already in production. Data Vault 2.0 was designed specifically to solve these problems. This article explains what it is, how it works, and how to use it in Navicat Data Modeler 4.

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Most development teams version-control their application code without a second thought. Pull requests, commit history, and branching strategies are all standard practice. Yet the database schema that underpins that application is often managed through a combination of manual changes, informal notes, and collective memory. When something breaks, or when a new developer joins the team, that approach tends to fall apart quickly. This guide explains what schema version control is, why it matters, and how to build it into your workflow using SQL scripts generated with Navicat.

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The term “serverless” has been applied to functions, APIs, and now databases. As with its predecessors, it does not mean there are no servers; it simply means that you don't have to think about them. That's because serverless databases handle provisioning, scaling, and capacity planning automatically, letting developers focus on building rather than babysitting infrastructure. For teams used to sizing RDS instances and manually adjusting read replicas, the shift can feel significant. This article explains how serverless databases work, surveys the major offerings, and looks at how Navicat fits into the picture.

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