Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments

Enterprise data modeling platform

Supporting hybrid use cases of on-prem databases and cloud databases, strategically focused on cloud data platforms

Analytical / Cloud Data Platforms

Snowflake

Databricks

BigQuery

Transactional / Databases

PostgreSQL

SQL Server

AlloyDB

Oracle
Amazon Redshift
Azure Synapse
Microsoft Fabric
MySQL
Analytical / Cloud Data Platforms

Snowflake

Databricks

BigQuery

Amazon Redshift

Azure Synapse

Microsoft Fabric

Transactional / Databases

PostgreSQL

SQL Server

AlloyDB

Oracle

MySQL

What's included in platform access:

Show details

  • Conceptual modeling
  • Logical modeling
  • Physical modeling
  • Reverse engineering
  • Forward engineering
  • Alter script
  • Version control
  • Global modeling
  • View lineage
  • Table and column templates
  • Consumer users
  • Concurrent working
  • Team comment
  • dbt
  • Confluence
  • Git
  • Jira
  • Database documentation
  • Documentation pages
  • HTML reports
  • Custom fields
  • SSO
  • Customer Hosted/Regional Storage Options

Request a quote

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 with SqlDBM, you will be paired with a Customer Success Manager who assist and guide you through your journey with us, including but not limited to structured onboarding, product feedback loop, business reviews, strategic guidance, and support escalations.

If your organization seeks premium support levels and expedited SLAs, we offer optional Premium Support packages at an additional cost. Additionally, for those requiring specialized or custom training curriculums, we provide Professional Services packages. 

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. Detailed information on security measures, data protection mechanisms, and protocols can be found in our Trust center.

Have more questions?

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Strategic advisors

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

For cloud data platforms

SqlDBM offers secure native connectors to leading data platforms like Snowflake, Databricks, and BigQuery so you can reverse engineer and begin modeling in seconds.

Try modeling now

Platform

Data Modeling

Develop data models collaboratively in the cloud and share them with your organization in various modeling styles and formats with no coding or conversion required

Model Governance

Create and manage business metadata using a dedicated project role

Snowflake Schema Monitoring

Track and get notified of schema changes in live database environments