NoSQL Database Clients for Humans
Traditional NoSQL database clients demand perfection. They're built for the Verstappens and Carlsens of the world, who never seem to make any mistakes. For the rest of us, there's Dogen.*
*No affiliation or endorsement implied from Verstappen or Carlsen.
Database clients validate on behalf of database engines, not your business.
Maybe you've noticed it?
Inconsistent Types
Some dates are stored as Strings, others as Timestamps. Some relationships are stored as Strings, and others are References.
Field Name Typos
In some documents, you have typos like "lenght" instead of "length", or "calender" instead of "calendar".
Invalid Values
A person's birthdate shouldn't be in the future, and their height shouldn't be 37 feet.
Format Issues
You store phone numbers as Strings, but sometimes with +1, sometimes with dashes, sometimes with parentheses.
Invalid References
Your document relationships and file references point to non-existent paths, breaking data integrity and causing errors.
Forced Flattening
Your application data is naturally nested, rich, and structured, but tools keep forcing you to manage it all like a spreadsheet.
The Real Cost
Companies lose
of revenue due to poor data quality
Source: MIT Sloan Management Review
What about Admin Panels and headless CMSs?
These tools are designed to manage flat, simple data, not entire databases.
Customizing them to do anything beyond these basics could cost 34% of your productivity.
The Dogen Way
Domain Aware Database Clients
What if database clients were a little bit smarter? What if they understood your entities and enforced your business rules on your behalf?
See the Difference
Adding a New User
Standard Approach:
- Manual field creation for every document
- Type each field name, type, and value
- No guidance on required fields
- Prone to typos and inconsistencies
Dogen Approach:
- Pre-defined interface with all fields ready
- Red indicators show required empty fields
- Field names and types already configured
- Intuitive guidance from the start
Managing User Data
Standard Approach:
- All fields displayed as plain text strings
- No visual differentiation between types
Dogen Approach:
- Specialized UI for each field type
- Image paths display as actual images from Firebase storage
Data Validation
Standard Approach:
- Accepts invalid email formats
- Stores incorrect file types without warning
- No real-time validation feedback
- Data integrity issues accumulate silently
Dogen Approach:
- Real-time validation with red indicators
- Clear error messages for each field
- Visual feedback for invalid file paths
- Prevents bad data from entering system
Deeply Nested Data Management
Standard Approach:
- All data crammed into one overwhelming view
- Manual text input for enum fields (error-prone)
- Difficult to navigate complex nested structures
- Fields are out of order
- No guidance on array element types
Dogen Approach:
- Intuitive folder-like navigation for nested data
- Intuitive UIs and validations, at any depth
- Enum fields show as dropdowns with valid options
- Drag and reorder array items effortlessly
- Undo/restore capabilities for accidental changes
Multiple View Modes
Standard Approach:
- No alternative viewing modes
- No copy/paste functionality
- No visual diff capabilities
Dogen Approach:
- Alternative JSON Tree mode for lower level control and flexibility
- Monaco editor (VS Code) for raw JSON text editing
- Visual diff highlighting (green/red changes)
- Easily copy and paste between documents
Querrying, Browsing, and Navigating
Standard Approach:
- Basic filtering by field
- Single view for results
- No multi-select capabilities
- No pagination
- Individual delete only
- No error indicators
Dogen Approach:
- Smart field suggestions for filtering
- Switch between List and Table views
- Batch select multiple items
- Adjustable items per page
- Bulk copy as JSON or delete
- Visual error indicators for schema violations (red highlighting)
Both support: Real-time streaming, subcollection navigation, collection/document creation/deletion, and querying
How does this work? 🤔
You define which fields are required, their types, and where they are located. Dogen then rebuilds itself to match your needs automatically.
Move fast, break nothing.
It's still the same underlying data. Dogen just gives you a better way to work with it. Think of it as a semantic layer—bridging the gap between raw database documents and how you actually think about your domain. Best of all, it seamlessly integrates with your existing Firebase projects, giving you the power to manage entire databases with confidence.
Privacy, Security & Auditability at its Core
Dogen is architected from the ground up with security and privacy as fundamental principles.
Open Source Extension
Dogen Service
Dogen Web Client
Firebase Extension
Performs admin operations on behalf of the client.
Dogen Service
Generates and deploys static Flutter Web clients (JS) from blueprints.
Flutter Web Client
Communicates only with your Firebase project's resources.
Open Source Extension
Sensitive operations are performed using the Firebase Admin SDK through the Dogen Firebase Extension. It's code is open source, reviewed, and approved by Firebase's team.
Security Rules Enforcement
The client is registered as a Firebase application, and uses Firebase's Client SDK, respecting your security rules just like all your other Firebase applications.
100% Data Privacy
Your actual data never leaves your Firebase project. Dogen only receives schema definitions—the blueprint, not actual data.
100% Auditability
Monitor all operations in real-time through your browser's Network tab. Every request made by the client is visible and auditable.
Complete Feature Set
Everything you need for professional application management
The Dogen Advantage
Why teams choose Dogen for their application management needs
Ship Way Faster
Focus on building features, not data management tools.
Own Your Data
Your resources, your data, your rules. Complete control.
Better Data Structures
Create ideal data structures every time, no compromises.
Enforce Data Integrity
Type safety, schemas, and custom validations keep your data reliable.
Firebase Native
Perfect harmony with Firebase products.
5-Minute Setup
Install via Firebase extension and start immediately.
Simple Pricing
Client based pricing. No hidden fees, no surprises.
Premium clients allow you to define custom entities and can be rebuilt as needed.
🎯 Base
Full-featured database client with all operations. Import/export data, manage files, run jobs—everything except custom entities and rebuilds.
This includes:
- 1 Base Client
- Unlimited databases & projects
- Job managment + CSV/JSON
- File management & storage
- Restaurant demo entities
- Admin role
- Community support
💻 Developer
Perfect for developers and small projects. Define type safe entity schemas, and validations. Pay per client project (90 rebuilds included) as you scale your data management needs.
Included per client:
- Everything in Base
- 30 Entity Blueprints
- 200 Fields
- 90 Client Rebuilds per month
- Community support
🏢 Business
For larger teams working across several domains with more sophisticated modeling needs. Offers expanded capacity and responsive support.
Included per client:
- Everything in Base
- 50 Entity Blueprints
- 400 Fields
- 90 Client Rebuilds per month
- Private Support
Advanced multi-role capabilities are under development. If you have a specific use case, please reach out.
The Backstory
Born from real pain points building production systems
Before Dogen, my team and I built a PCI-DSS certified payment gateway and credit card vault that handled millions of secure transactions. A key part of the system was a JSON based configuration layer responsible for things like banks, currencies, and country-specific rules. It worked brilliantly.
But managing it was a different story. Building a dedicated management tool kept getting pushed aside for more urgent tasks. As a result, every update required us to manually edit raw JSON in the production database. It was risky, stressful, and a poor use of engineering time.
That experience stuck with me. While JSON and schemaless NoSQL databases are ideal for creating rich, complex data models, the tools to effectively manage this complexity haven't kept up. I built Dogen to close that gap, offering structure, validation, and a dependable way to interact with your data.
Ready to Get Started?
Join developers who've simplified their data management