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Data modeling tools for Snowflake
List of data modeling and database design tools.
Data modeling is the process of creating and analyzing data models for resources stored in a database. The Data Model is an abstract model that standardizes the data description, data semantic, and consistency constraints of data. Its main purpose is to represent the types of data within a system, the relationships between objects, and its attributes. The data model helps to understand what data is needed and how data should be organized. It is like a blueprint for an architect to better understand what is being created.
ER/Studio
ER/Studio provides robust logical and physical modeling and determines all data sources along with managing the transformation of data between the staging area and data warehouse. It helps to build out an enterprise data model and represent business concepts with full documentation of attributes, definitions, relationships, etc.
| Desktop/Cloud: | Desktop |
|---|---|
| Commercial: | Commercial |
| Free edition: |
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| ER Diagram: |
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| Runs on: (for desktop): | Windows |
| Forward engineering: |
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| Reverse enginering: |
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| Synchronization: | - |
Gleek.io
Gleek.io diagram maker is freemium text-to-diagram tool for developers and software architects. It is a cloud tool for model driven software development, and you can run in any browser. Gleek.io is designed to be used during software planning meetings and live collaboration, so it is vital that diagrams can be created quickly.
| Desktop/Cloud: | Cloud |
|---|---|
| Commercial: | Commercial |
| Free edition: |
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| ER Diagram: |
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| Runs on: (for desktop): | - |
| Forward engineering: |
|
| Reverse enginering: |
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| Synchronization: |
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Tree Schema
The Tree Schema data catalog provides all of the essential catalog capabilities including rich-text documentation, data lineage, assigning data stewards and technical owners to your data assets, tagging your assets and much more. You can point Tree Schema to your database and fully populate your catalog in under 5 minutes. Tree Schema also supports non-traditional data sources including S3, Kafka and DynamoDB.
| Desktop/Cloud: | - |
|---|---|
| Commercial: | Commercial |
| Free edition: |
|
| ER Diagram: | - |
| Runs on: (for desktop): | - |
| Forward engineering: | - |
| Reverse enginering: | - |
| Synchronization: | - |
The wider the scope of data works in an organization, the more advanced data modeling tool is needed. The functionality spectrum of these tools can be very broad. However, the core features of these tools include: