Data Diagram Tool

Aimed at data engineers and architects, this tool models data stores, processes, and flows to clarify architecture decisions.

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About This Tool

The tool enables structured modeling of data ecosystems by defining data stores, processes, and data flows, then visualizing them as an architecture diagram. It supports logical and physical modeling, lineage capture, and metadata export to aid governance and documentation. Conceptually, inputs describe entities and their relationships; the system computes a consistent graph, applies a layout, and renders a scalable diagram. Beneficiaries include data architects who design target schemas, data engineers who implement pipelines, and compliance teams who verify data lineage. Unique value stems from formalized definitions, automatic layout, and machine-readable metadata that integrates with catalogs and governance platforms. Core features include entity definitions, relationship constraints, validation rules, and export options. Typical use cases cover data lineage validation, ETL design reviews, data warehouse planning, and cloud architectural planning for data platforms.

How to Use

  1. Provide inputs for data stores, processes, data flows, and external systems.
  2. Choose modeling scope (logical or physical) and include lineage if needed.
  3. Run validation and auto-layout to generate the diagram structure.
  4. Review outputs: diagram SVG/PNG and associated metadata.
  5. Export definitions for catalogs or sharing with stakeholders.
How to use data architecture diagram tool

Frequently Asked Questions

Find Quick Answers

What can be modeled with this tool?
It models data stores, processes, data flows, and external systems along with their relationships, enabling clear representations of data movement and storage. Logical and physical modeling are supported, with lineage captured for governance purposes.
Can I export diagrams?
Yes. Diagrams can be exported as SVG or PNG images, and metadata or lineage reports can be exported as JSON. This supports integration with data catalogs and downstream automation.
Do I need actual schemas to use it?
No. The tool supports both logical definitions and optional physical attributes. You can start with abstract representations and progressively add detail as architectures mature.
Does it enforce governance rules?
It provides validation rules for data lineage, participation of data stores in flows, and detection of cycles in strict modes. It surfaces machine-readable feedback suitable for automated validation pipelines.

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