Visual DB combines the familiar interface of a spreadsheet with the robustness and central management of a relational database.
Spreadsheets are a popular choice for storing tabular data due to their familiar, row-by-column interface and ease of use. However, they can quickly become unwieldy as data grows. Over-reliance on Excel causes a multitude of problems such as data overlap, mistaken entries, conflicts from simultaneous usage, lack of scalability, and difficulty in maintaining data integrity and security.
Switching to a relational database solves these problems by centralizing data management, ensuring data consistency, providing robust data validation, and enabling concurrent access without conflicts.
Visual DB provides a spreadsheet-like interface so that users can migrate from Excel easily, and get all the benefits of a relational database without losing the ease-of-use of spreadsheets.
Visual DB bridges the gap by marrying the spreadsheet interface with a robust relational database. Each row in a Visual DB sheet is backed by a database record, and stored in a centralized database. This gives you data consistency, integrity, and scalability while maintaining the ease of use of a spreadsheet.
Just like in a spreadsheet, Visual DB instantly recalculates formula fields when dependent fields are updated. Totals instantly update when any value in the column is edited.
When you save, Visual DB makes sure you don't overwrite changes made by others. Visual DB also protects the integrity of a record by not mixing your updates with someone else's. These may seem like basic features, but it is surprising how many of our competitors don't have these basic protections.
Visual DB is not merely a spreadsheet replacement but also offers sophisticated capabilities commonly associated with business intelligence tools. These features include but are not limited to:
Visual DB is very good at helping you locate the record you want to update. It has advanced filtering that supports combining AND/OR conditions. It also has full-text filtering that instantly updates the screen as you type.
Visual DB supports the display of up to 100,000 records simultaneously. Don't worry if your database has millions of rows. Visual DB can accommodate databases of any size by using query parameters to fetch subsets of data.
Relational databases often serve as crucial integration hubs linking different business applications together. However, if a database is proprietary and is behind the firewall of another company, its effectiveness as an integration hub is compromised. Visual DB allows users to bring their own databases, ensuring they have complete control and ownership. This ensures interoperability with multiple applications beyond just Visual DB. This flexibility distinguishes Visual DB from its competitors.
Moreover, Visual DB does not demand any specialized types of tables or columns for its operations. It seamlessly integrates with your existing, standard tables and columns, ensuring compatibility and facilitating its use alongside other tools.
Airtable is a spreadsheet-database hybrid, but it is closer to a spreadsheet than a database. Unlike a database you can't store millions or even hundreds of thousands of records in an Airtable. Airtable does not support traditional database features such as queries, query parameters, transactions or even record integrity. Multiple users can edit a record at the same time and make inconsistent changes. For example in a medication table, one user can edit the pill strength while another is editing the pill count—that can cause the patient to overdose! Or you might suffer a power outage after updating the pill strength but before updating the pill count, leaving the record in a hazardous, inconsistent state.
Visual DB avoids such problems by treating records as indivisible, and making all updates to a record atomically. Visual DB is not doing anything special—it is simply following the rules for leveraging the ACID guarantees that databases inherently provide. If you don't follow those rules you're effectively downgrading the database to a shared spreadsheet, where people may overwrite each other's changes and make conflicting changes! Isn't that what you're trying to get away from?
Here are the main features of the spreadsheet aspect of Visual DB:
Try it today with your own database.