Enterprise data modeling platform
Supporting hybrid use cases of on-prem databases and cloud databases, strategically focused on cloud data platforms.
Data Modeling
The enterprise standard for collaborative data modeling: conceptual to physical, with governance, versioning, and integrations built in.
- Conceptual, Logical & Physical modeling
- Reverse & Forward engineering, Alter scripts
- Version control & view lineage
- Concurrent working, comments & consumer users
- dbt, Confluence, Git, Jira, API & iFrame
- Documentation, HTML reports & custom fields
- SSO & Customer Hosted / Regional Storage (optional)
Custom pricing · Contact us for a quote
Request a quoteContext Layer
Everything in Data Modeling, plus the capabilities that make it AI-ready. Semantic and global modeling, AI Copilot, MCP connectivity plus every roadmap release, included as it ships.
- AI Copilot
- MCP & MCP for Agents
- Semantic modeling
- Global modeling
- Model of Record
- Agent Framework
- Catalog Sync
Custom pricing · Contact us for a quote
Request a quoteSupported databases
Analytical / Cloud Data Platforms
Snowflake
Databricks
BigQuery
Amazon Redshift
Azure Synapse
Microsoft Fabric
Transactional / Databases
PostgreSQL
SQL Server
Oracle
AlloyDB
MySQL
Full feature breakdown
What’s included in each, at a glance
| Feature | Data ModelingCore platform | Context LayerComplete Platform |
|---|---|---|
| DATA MODELING | ||
| Conceptual modeling | Included | Included |
| Logical modeling | Included | Included |
| Physical modeling | Included | Included |
| Reverse engineering | Included | Included |
| Forward engineering | Included | Included |
| Alter script | Included | Included |
| Version control | Included | Included |
| View lineage | Included | Included |
| Table & column templates | Included | Included |
| Semantic modeling | Not included | Included |
| Global modeling | Not included | Included |
| Source to Target | Not included | Included |
| Business View | Not included | Included |
| SQLDBM AI | ||
| AI Copilot | Not included | Included |
| MCP (read) · MCP for Agents | Not included | Included |
| MCP (write) | Not included | Included |
| Model of Record | Not included | Included |
| Skills, Memory & Agent Framework | Not included | Included |
| COLLABORATION | ||
| Consumer (view-only) users | Included | Included |
| Concurrent working | Included | Included |
| Team commenting | Included | Included |
| Approval workflows | Not included | Included |
| INTEGRATIONS | ||
| dbt | Included | Included |
| Confluence | Included | Included |
| Git | Included | Included |
| Jira | Included | Included |
| API (GET & POST) | Included | Included |
| iFrame | Included | Included |
| Collibra, Atlan & Alation | Not included | Included |
| MODEL GOVERNANCE | ||
| Database documentation | Included | Included |
| Documentation pages | Included | Included |
| HTML reports | Included | Included |
| Custom metadata fields | Included | Included |
| ENTERPRISE SECURITY | ||
| SSO (optional) | Included | Included |
| Customer Hosted / Regional Storage (optional) | Included | Included |
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Pricing FAQ
Is collaboration possible with SqlDBM?
As a SaaS platform, SqlDBM revolutionizes collaboration in the data modeling industry by offering a true multi-player development environment where you and your teams can design, maintain, and document data models online with seamless async collaboration. Developers benefit from concurrent working modes, robust branching, and merging capabilities. For business users, the platform provides view-only (consumer) access, ensuring up-to-date documentation can be accessed at any time.
How do you manage access control?
In the SqlDBM environment, access control to data models is managed through a tiered permission system. This enables administrators to assign specific access rights to users, ensuring that each individual only sees what they have been explicitly authorized to view. This approach guarantees governed and secure data model management.
What is your support model?
We offer support through an online ticketing system. Our Service Level Agreements (SLAs), detailed in the Master Service Agreement (MSA), guarantee timely and reliable support. Once you are onboarded, you will be paired with a Customer Success Manager who guides you through your journey with us. If your organization seeks premium support levels and expedited SLAs, we offer optional Premium Support packages at an additional cost.
How does SqlDBM handle security?
SqlDBM is dedicated to keeping your data private, safe, and secure. As a cloud provider, we are SOC2 Type II compliant and certified. The platform interacts with metadata only (DDL). Tailored security implementations are available, and detailed information on our security measures can be found in our Trust center.
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