SqlDBM
Why Choose SqlDBM?
Choosing this is perfect if you want a modern, cloud-based data modeling tool that works with all the big data platforms. SqlDBM makes it easy to visualize and manage your database without coding, plus it supports collaboration and keeps your data secure. Ideal for teams wanting to work smarter and faster.
SqlDBM is modern data modeling for cloud data platforms like Snowflake, Databricks, Google BigQuery, and more. Our mission is to provide a modern online data modeling solution that enables data teams to visualize their business database schema without writing a single line of code. SqlDBM supports leading cloud-based database providers like Snowflake, Databricks, Azure Synapse, Amazon Redshift, and on-premise solutions like Postgres and SQL Server. Using an online visual interface, users can diagram their entire database through reverse engineering, create new objects, make changes, and add properties without writing SQL. SqlDBM provides additional features that facilitate data governance, data discovery (data dictionary), DevOps and CI/CD, and collaboration between business and technical users.
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SqlDBM Introduction
What is SqlDBM?
Founded in 2017 and headquartered in San Diego, SqlDBM is the leading collaborative, cloud-based data modeling solution for the enterprise. It is the first all-in-one solution that brings relational and transformational modeling into one platform. SqlDBM offers seamless integration with cloud data platforms like Snowflake, Databricks, Azure Synapse, Google BigQuery, and Amazon Redshift. Data teams can easily manage modeling projects from anywhere with anyone, and have the flexibility of writing code or working with no code templates. Key features include: -Concurrent working with real-time editing and version control -Reverse engineering and forward engineering capabilities -Drag-and-drop interface for intuitive modeling -Support for various modeling methodologies (Data Vault, 3NF, Star Schema) -Keep models and metadata secure and compliant with SSO integration, customer-managed keys, and detailed access controls Hundreds of data-driven companies choose SqlDBM, including DocuSign, SurveyMonkey, and DirecTV to manage data models efficiently, collaborate seamlessly across teams, and help ensure data trust.
How to use SqlDBM?
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Why Choose SqlDBM?
Choosing this is perfect if you want a modern, cloud-based data modeling tool that works with all the big data platforms. SqlDBM makes it easy to visualize and manage your database without coding, plus it supports collaboration and keeps your data secure. Ideal for teams wanting to work smarter and faster.
SqlDBM Features
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About SqlDBM
What Is SqlDBM?
Founded in 2017 and headquartered in San Diego, SqlDBM is the leading collaborative, cloud-based data modeling solution for the enterprise. It is the first all-in-one solution that brings relational and transformational modeling into one platform. SqlDBM offers seamless integration with cloud data platforms like Snowflake, Databricks, Azure Synapse, Google BigQuery, and Amazon Redshift. Data teams can easily manage modeling projects from anywhere with anyone, and have the flexibility of writing code or working with no code templates. Key features include: -Concurrent working with real-time editing and version control -Reverse engineering and forward engineering capabilities -Drag-and-drop interface for intuitive modeling -Support for various modeling methodologies (Data Vault, 3NF, Star Schema) -Keep models and metadata secure and compliant with SSO integration, customer-managed keys, and detailed access controls Hundreds of data-driven companies choose SqlDBM, including DocuSign, SurveyMonkey, and DirecTV to manage data models efficiently, collaborate seamlessly across teams, and help ensure data trust.