Visual DB - 2026 Pricing, Features, Reviews & Alternatives

Visual DB is a no-code platform for building database applications visually on top of an existing relational database. Teams can create professional forms, spreadsheet-style sheets, interactive reports, and BI dashboards with drag-and-drop tools instead of writing custom CRUD applications.

Its AI-powered form builder helps users turn database tables into polished data-entry experiences in minutes. AI can automatically arrange fields, group related information, and add section headings, while designers retain full control to refine layouts manually using alignment and spacing guides. Forms can include data validation, appropriate input controls, and conditional logic that shows or hides fields according to user input. Visual DB also supports master-detail forms for common business workflows such as customers and orders, projects and tasks, and invoices with line items.

For day-to-day record management, Visual DB Sheets provide a familiar grid interface for working directly with database data. Users can scan, edit, sort, group, and filter records in one place, make changes across multiple records, and get immediate visual feedback without moving through one record at a time. The spreadsheet-like experience is paired with database-grade safeguards that support data consistency and help prevent conflicting or accidental overwrites when multiple users update records at once.

Visual DB includes built-in interactive reporting, so business users can create ad hoc reports without relying on a separate reporting product or waiting for IT assistance. Reports can be grouped, filtered, sorted, and customized as needs change. Query parameters—such as a project, region, customer, or date range—let users focus on the exact information they need. The platform supports everything from filtered operational summaries to interactive time-series analysis.

Teams can also create drag-and-drop BI dashboards that combine charts, gauges, and KPI tiles on a single screen. Dashboards query the underlying database directly, which keeps information current without copying it into a separate analytics platform, maintaining data pipelines, or waiting for synchronization. Visuals can draw from tables, queries, and even different databases to provide a unified view of operational metrics, sales, inventory, or other business performance indicators.

Visual DB provides database-management capabilities alongside its application-building tools. Users can browse schemas, inspect table data, view visual relationship diagrams, create and modify tables and columns, define relationships, and import or export data through CSV files. AI assistance can translate plain-English requests into SQL and generate tables from a business description, including suitable columns, data types, and relationships.

The platform works with major relational databases, including SQL Server, MySQL, MariaDB, PostgreSQL, Oracle, and SQLite, as well as cloud database services such as Azure SQL, Amazon RDS, Google Cloud SQL, AlloyDB, and Neon. Because Visual DB uses your existing database, the data remains available to other applications and tools that share the same database environment.

Visual DB is available as a cloud service and can also be self-hosted within an organization’s intranet. This gives teams flexibility to meet internal security, privacy, infrastructure, and compliance requirements while keeping sensitive data in their own environment.