Sheets

Say goodbye to Excel chaos

As teams grow, using Excel to manage large datasets often leads to versioning issues, accidental overwrites, and inconsistent data. Visual DB offers a solution.

Limitations of Excel

Excel is a popular choice for storing tabular data due to their familiar, row-by-column interface and ease of use. However, Excel 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.

Combining the best of both worlds

Visual DB combines the row-by-column interface of spreadsheets with a robust relational database. Each row in a Visual DB sheet corresponds to 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.

Prevent data overwrites

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.

Prevent bad data at the source

Unlike spreadsheets, Visual DB can prevent bad data at the source with comprehensive field validation. You can specify minimum and maximum values for numeric fields, validate email addresses and phone numbers, enforce social security number formats, and much more. When a user enters invalid data, Visual DB marks the cell with a red squiggly line and displays an error message when clicked. Most importantly, the record won't be saved to the database until all validation errors are corrected—ensuring your database stays clean from day one.

As shown in the screenshot, Visual DB highlights cells that fail validation with a squiggly underline. Click the cell to view the associated error, which can be customized.

Quickly locate records

In any database with more than a handful of records, finding the specific record you need to update can become a time-consuming bottleneck. Users shouldn't have to scroll through pages of data or remember exact values to locate what they're looking for.

Visual DB's as-you-type find feature instantly locates and highlights matching records as you type. It searches all fields automatically—no need to specify which column to search or hit Enter. Results appear immediately, letting you spot the right record in seconds rather than minutes.

This isn't just about convenience. When users can't quickly find what they need, they're more likely to give up and work around the system, create duplicate records, or make updates to the wrong record. Fast, intuitive search keeps your data clean and your team productive.

As an added bonus, totals instantly update as you type, so you can see the total for just the records that match your search text.

Business intelligence

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:

• Grouping with unlimited nesting levels
• Aggregation: see summaries at each level
• Sorting on multiple columns
• Advanced filtering

Advanced filtering

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.

Scalability and performance

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.

Key features

Key features of the Visual DB sheets include:

• BYOD (Bring Your Own Database).
• Your database can be hosted on-prem, or in any cloud provider, including Microsoft Azure, Amazon AWS and Google cloud.
• Supports Postgres, MySQL, Oracle, SQL Server and SQLite.
• No code. Build sheets and forms with zero coding or SQL knowledge.
• Role-based access control: Decide who can add/remove columns and who can only enter/update data.
• Overwrite prevention.
• Input validation.
• Field-level conditional coloring.
• Full-text filtering that instantly updates the screen as you type.
• Advanced filtering that supports combining AND/OR conditions.
• Grouping with unlimited levels of nesting.
• Unlimited number of records per table.
• Use query parameters to determine which subset of rows (out of millions) to display.
• Instant scrolling of up to 100,000 rows.
• Shared, readonly and private views.
• Offline-viewable snapshots (HTML and Excel formats).