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Schema Visualization

Design the Backbone.

The DBML Visualizer isn't just a diagram tool. It's a living blueprint for your entire data layer.

PostgreSQL
Native Support
Real-time
Collaboration
DBML 2.0
Spec Compliant
Core Capabilities

Everything you need.
Nothing you don't.

GPU-accelerated rendering engine handles massive schemas without breaking a sweat. Pan, zoom, and explore thousands of tables at buttery-smooth 60 FPS.

1000+
Tables
60
FPS
Zoom
users
posts
comments
tags
125%

Explore by category

Visualization

Powerful rendering & display

Infinite Canvas
1000+ tables, 60 FPS
Smart Layouts
Auto-arrange algorithms
Domain Groups
Organize by business logic
Saved Views
Bookmark & share states

Analysis

Deep schema insights

Health Scores
Lint & validate schemas
Schema Metrics
Stats & distributions
Heatmaps
Relationship density
Analytics
Dependency matrices

Workflow

Productivity tools

Data Flow
Animated relationships
Schema Diff
Compare & merge
Shortcuts
Vim-style navigation
Deep Links
Shareable URL states

Integration

Connect & export

Live Connect
Direct DB connection
14+ Exports
SQL, ORM, Docs
Import Any
SQL, DBML, JSON
Autocomplete
IntelliSense for DBML
19
Core Features
14+
Export Formats
1000+
Tables Supported
60
FPS Rendering
Interactive Canvas

React Flow Visualization

Interactive graph canvas powered by ReactFlow. Drag, zoom, pan, and explore your database schema visually

Graph Canvas
100%
one-to-manymany-to-manyone-to-oneone-to-many
users
3
id: uuid (PK)
created_at: timestamp
updated_at: timestamp
orders
4
id: uuid (PK)
created_at: timestamp
updated_at: timestamp
products
2
id: uuid (PK)
created_at: timestamp
updated_at: timestamp
payments
2
id: uuid (PK)
created_at: timestamp
updated_at: timestamp
inventory
3
id: uuid (PK)
created_at: timestamp
updated_at: timestamp
Click to select
Drag to move
Scroll to zoom

Drag & Drop

Freely rearrange nodes by dragging them around the canvas

Zoom & Pan

Zoom in/out and pan across large schemas with smooth controls

Interactive Edges

Visualize relationships with animated edges and connection types

System Configuration

Deep Capabilities.

Explorer
Connection: Stable
// Render complex ER diagrams from simple code.
export const VISUAL_CONFIG = {
engine:"WebGL_2.0"
modes:["Orthogonal", "Force_Directed", "Hand_Drawn"]
export_formats:["PNG", "SVG", "PDF", "JSON"]
features:{
interactive:true
minimap:true
cluster_detection:"Auto"
}
}
UTF-8
TypeScript
Real-time sync
Type-safe configs
Hot reload
Git integration
Path Navigator

Relationship Path Mapping

Build relationship paths between tables, visualize connections, and generate SQL queries automatically

Path Builder
3 steps
Path Preview
4 tables
users
iduser_id
orders
idorder_id
order_items
product_idid
products
1
usersorders
one-to-many
iduser_id
2
ordersorder_items
one-to-many
idorder_id
3
order_itemsproducts
many-to-one
product_idid
Generated SQL
path_query.sql
SELECT 
  u.id AS user_id,
  u.email,
  o.id AS order_id,
  o.total,
  oi.quantity,
  p.name AS product_name
FROM users u
JOIN orders o ON u.id = o.user_id
JOIN order_items oi ON o.id = oi.order_id
JOIN products p ON oi.product_id = p.id
WHERE u.id = $1;
Auto-generates JOIN statements
Supports custom SQL mode
One-click copy to clipboard

Visual Path Building

Click relationships to build paths visually, see connections in real-time

SQL Generation

Automatically generate optimized SQL queries from your relationship paths

Path Navigation

Navigate complex schemas by following relationship chains step-by-step

Impact & Coupling Analysis

Dependency Matrix

Visualize table relationships, identify high-coupling risks, and understand impact propagation across your schema

Risk Assessment
users
orders
products
payments
inventory
analytics
users
3
·
2
·
5
orders
3
4
2
1
·
products
·
4
·
6
2
payments
2
2
·
·
1
inventory
·
1
6
·
·
analytics
5
·
2
1
·
Intensity:
High (5+)
Medium (3-4)
Low (1-2)
Top Hubs:
products(24)
users(20)
orders(20)

Risk Assessment

Identify high-risk tables with excessive fan-in/fan-out that could cause cascading failures

Coupling Analysis

Detect tight coupling between tables and get suggestions for decoupling strategies

Impact Propagation

Understand how changes to one table affect others through dependency chains

Data Flow Animation

Animated Data Flow

Visualize data flow through relationships with animated paths, upstream/downstream analysis, and impact propagation

Flow Controls
3
Impact Analysis
Downstream3
ordersorder_itemspayments
Upstream1
users
Flow Visualization
Ready
orders
order_items
products
orders
payments
users
orders
order_items
Found Paths
orders → order_items → products
2 edges
orders → payments
1 edges
users → orders → order_items
2 edges
Analytics Dashboard

Schema Analytics Dashboard

Comprehensive insights into your database schema: metrics, health scores, relationship analysis, and quality indicators

Tables
42
Columns
387
Relationships
156
Health Score
87/100
87Health Score
Top Hub Tables
users24 connections
orders18 connections
products15 connections
Issues
Orphan Tables3
Circular Dependencies2
Max Depth5 levels
METRICSSTATSMETRICSSTATSMETRICSSTATSMETRICSSTATSMETRICSSTATS
Schema Analytics

Real-Time Metrics.

Comprehensive schema statistics with sparklines, historical data, and exportable reports.

+12
127
Total Tables
+89
1,234
Total Columns
+23
342
Foreign Keys
+34
456
Indexes
+3
28
Enums
-2
3
Tables w/o PK
Top Tables by Health Score
users12 cols • 2 FKs • 3 idx
95%
orders18 cols • 4 FKs • 5 idx
98%
products15 cols • 1 FKs • 4 idx
92%
payments10 cols • 3 FKs • 2 idx
88%

Real-Time Updates

Metrics update as you edit your schema

Historical Data

Track changes over time with sparklines

Export Reports

Export metrics as JSON, CSV, or PDF

HEALTHLINTHEALTHLINTHEALTHLINTHEALTHLINTHEALTHLINT
Schema Health

Lint & Validate.

Real-time validation with health scores, auto-fix suggestions, and customizable lint rules.

87
Health Score
Missing Primary Key
Structure
Table 'users' lacks a primary key constraint
Add PRIMARY KEY constraint
Orphaned Foreign Key
Relationships
FK 'user_id' references non-existent table
Create referenced table or remove FK
Inconsistent Naming
Naming
Column names don't follow convention
Rename to snake_case
Lint Rules
Missing Primary Keys
3 issues
Circular Dependencies
1 issues
Orphaned Foreign Keys
5 issues
Type Mismatches
2 issues
Naming Conventions
12 issues

Health Score

Overall schema health calculated from all rules

Auto-Fix

One-click fixes for common issues

Custom Rules

Configure and customize lint rules

Type Detection

Type Inconsistency Detector

Detect and fix type inconsistencies across tables. Smart normalization, pattern detection, and one-click fixes

Inconsistencies
3 found
Filter:
error
user_id
high impact
Found in 3 tables:
ordersUUID
uuid
paymentsVARCHAR
varchar(36)
analyticsUUID
uuid
Suggested type:uuid
warning
created_at
medium impact
Found in 3 tables:
usersTIMESTAMP
timestamp
ordersTIMESTAMP
datetime
productsTIMESTAMP
timestamp
Suggested type:timestamp
info
status
low impact
Found in 2 tables:
ordersVARCHAR
varchar(20)
paymentsTEXT
text
Suggested type:varchar(50)
Total Analyzed
387
Unique Columns
142
Consistent
139
Inconsistent
3
EXPORTSQLEXPORTSQLEXPORTSQLEXPORTSQL
Export Formats

Export to 14+ Formats.

Convert your DBML schema to SQL, ORM schemas, documentation, and diagram formats with one click.

4
SQL Formats
4
ORM Formats
4
Documentation
2
Diagrams
SELECTFROMSELECTFROMSELECTFROMSELECTFROMSELECTFROM
SQL Query Panel

Execute Queries Live.

Full-featured SQL editor with autocomplete, query execution, results grid, and history.

query.sql
SELECT 
  u.id,
  u.email,
  COUNT(o.id) as order_count
FROM users u
LEFT JOIN orders o ON o.user_id = u.id
WHERE u.created_at > '2024-01-01'
GROUP BY u.id, u.email
ORDER BY order_count DESC
LIMIT 10;

Auto-complete

Table and column suggestions

Query History

Save and replay queries

Results Grid

Sortable, filterable results

Multi-tabs

Run multiple queries simultaneously

Query Result
SELECT * FROM users WHERE email = 'admin@example.com';
1 row
12ms
Query Result
SELECT COUNT(*) as total_orders FROM orders WHERE created_at > NOW() - INTERVAL '30 days';
1 row
45ms
CONNECTSYNCCONNECTSYNCCONNECTSYNCCONNECTSYNCCONNECTSYNC
Database Integration

Connect to Live Databases.

Introspect schemas, execute queries, browse data, and create tables directly from the visualizer.

connected
Production DB
PostgreSQL
127 tables
connected
Staging DB
MySQL
98 tables
disconnected
Analytics DB
Snowflake
0 tables

Table Creator

Visual table designer

Create tables visually with column, index, and foreign key designers. Generate SQL instantly.

Column Designer
Index Builder
FK Designer
SQL Preview

Data Browser

Browse table data

Browse table data directly from the visualizer. View, filter, sort, and paginate results.

Live Data View
Filtering & Sorting
Pagination
Export Data
Connect → Introspect → Visualize → Browse
USECASEUSECASEUSECASEUSECASE
Real-World Scenarios

Built for Every Team.

From enterprise schema management to development workflows, DBML Visualizer adapts to your needs.

Enterprise Schema Management

Manage complex enterprise schemas with thousands of tables across multiple databases.

Handle 1000+ tables without performance issues
Domain grouping for business logic organization
Schema health monitoring and linting
Multi-database connection support
Large enterprise with 500+ tables
500+
tables
12
databases
92%
health
Ready to Build

Architect your Legacy System.

Stop drawing boxes in generic tools. Start modeling actual data structures. Export to SQL, Prisma, or TypeORM in one click.

Compatible with
PostgreSQLMySQLMongoDBSnowflakePrismaSequelize
A
B
C
D
Join 2,400+ developers