Latest articles
Technical insights on databases, data integrity, and application development.
Why your no-code tool might be corrupting data
In multi-user database applications, it's common for two users to attempt updating the same record simultaneously. Without proper concurrency control, one user's changes can overwrite another's (lost updates), or users can make conflicting changes, leading to inconsistencies (write skew).
Learn how Visual DB detects and resolves conflicts that tools like Airtable silently ignore →
Why queries are central to Visual DB
Tools like Airtable load your entire table into your browser—even if you only need a handful of records. When your database has millions of records but you want to see just your department's active tasks, this wastes bandwidth and slows everything down. Visual DB uses queries to filter data on the server, retrieving only what you need.
Learn how Visual DB's query-first approach outperforms tools that load entire tables →
How grouping works in Visual DB sheets
Grouping is a core feature of Visual DB sheets. It helps you organize and analyze your data in two powerful ways: First, it clusters records with shared characteristics together for better organization. Second, it summarizes data at multiple levels, making it easy to spot trends and patterns at different levels of detail.
How Visual DB protects data integrity
Data integrity is the cornerstone of Relational Database Management Systems (RDBMS). It is one of the main reasons to store data—even small amounts of data—in a database rather than shared spreadsheets. When used properly, databases ensure your data is consistent and reliable, even when simultaneously modified by multiple users.
Learn how Visual DB protects the integrity of your data while others fall short →