Enterprise data modeling platform
Supporting hybrid use cases across on-prem and cloud databases, with a focus on cloud data platforms. Named Database Modeling Solution of the Year two years running at the Data Breakthrough Awards (2023 and 2024) and trusted by over 400,000 users worldwide.
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)
Context Layer
All capabilities to make your data AI-ready. Semantic and global modeling, AI Copilot, MCP connectivity plus every roadmap release, included as it ships.
- AI Copilot
- MCP
- Semantic modeling
- Global modeling
- Model of Record
- Agent Framework
- Catalog Sync
Pricing, in plain terms
- Per user. Your price scales with seats, not with features.
- Everything included. No tiers to unlock, no add-on modules.
- AI priced separately. Copilot and AI credits are the one exception, so you only pay for the AI you use.
Supported 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. Les Mills uses SqlDBM as its all-in-one tool for development, discovery, governance, and CI/CD across 1,000+ Snowflake tables, chosen after erwin was rejected over usability and maintenance trade-offs.
| Feature |  |
|---|---|
| DATA MODELING | |
| Conceptual modeling | Included |
| Logical modeling | Included |
| Physical modeling | Included |
| Reverse engineering | Included |
| Forward engineering | Included |
| Alter script | Included |
| Version control | Included |
| View lineage | Included |
| Table & column templates | Included |
| Semantic modeling | Included |
| Global modeling | Included |
| Source to Target | Included |
| Business View | Included |
| SQLDBM AI | |
| AI Copilot | Included |
| MCP | Included |
| Model of Record | Included |
| Skills, Memory & Agent Framework | Included |
| COLLABORATION | |
| Consumer (view-only) users | Included |
| Concurrent working | Included |
| Team commenting | Included |
| Approval workflows | Included |
| INTEGRATIONS | |
| dbt | Included |
| Confluence | Included |
| Git | Included |
| Jira | Included |
| API (GET & POST) | Included |
| iFrame | Included |
| Collibra, Atlan & Alation | Included |
| MODEL GOVERNANCE | |
| Database documentation | Included |
| Documentation pages | Included |
| HTML reports | Included |
| Custom metadata fields | Included |
| ENTERPRISE SECURITY | |
| SSO (optional) | Included |
| Customer Hosted / Regional Storage (optional) | Included |
Request a quote
Teams see the value fast: Midhun Paul at PwC reports SqlDBM cuts modeling time by 25% by removing the manual, repetitive labor, and enterprises like Baptist Health, Metcash, Pie Insurance, and Sophos run their modeling on it.
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. That model delivers: John Holland Group, one of Australia’s largest infrastructure firms with 70+ years of data, completed its Databricks cloud migration in nine months with SqlDBM as the authoritative source for its gold-layer models. 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 SOC 2 Type II certified via Vanta, we have passed penetration testing, and we encrypt data in transit with TLS up to 256-bit AES and at rest to FIPS 140-2, running on AWS with SSO, RBAC, audit logs, and customer-managed keys. The platform interacts with metadata only (DDL), and customers rate us 4.7 stars across verified G2 reviews. Tailored security implementations are available, and detailed information on our security measures can be found in our Trust center.
Have some questions?
Trusted by data teams globally
Trusted by data teams globally. Over 400,000 users and hundreds of enterprises model in SqlDBM, including DocuSign, SurveyMonkey, DirecTV, Sophos, Pfizer, Sanofi, Zendesk, and Lacoste.
