Datadef transforms how data teams create technical documentation. Describe your data stack in plain English, and the AI generates complete diagrams with properly connected components, data lineage tracking, and wiki documentation instantly. Built for data engineers and technical teams, Datadef eliminates hours of manual diagramming work. All diagrams are fully editable, so you maintain complete control while the AI handles the heavy lifting of initial creation.

• AI-Powered Diagram Generation: Describe your data stack in plain English and get professional diagrams with icons, connections, and documentation in under 2 minutes.
• Automatic Data Lineage Tracking: Click any KPI or table to see upstream sources and downstream consumers, with automatic lineage generation from diagram connections.
• 100+ Tool Integrations: Supports Apache Airflow, dbt, Kafka, Spark, Flink, AWS Glue, Azure Data Factory, GCP Dataflow, Fivetran, Airbyte, Dagster, Prefect, and more.
• Fully Editable Diagrams: Drag nodes, add components, modify connections, change colors, and add metadata while keeping AI-generated structure as your starting point.
• Multiple Export Options: Export as PNG, JPEG, or PDF for presentations, and JSON for version control and data portability.
• Public Link Sharing: Share diagrams with stakeholders via public links that don't require login credentials.
• Impact Analysis Tools: Define formulas, track transformations, and analyze impact before making changes to your data architecture.
• Privacy-First Architecture: Never connects to your actual databases or stores sensitive information—you just describe your architecture.

• Speed: Generate complete diagrams in under 2 minutes versus hours of manual work.
• No Design Skills Required: Plain English descriptions produce professional-quality diagrams automatically.
• Comprehensive Tool Support: Works with 100+ popular data engineering tools right out of the box
• Security Focused: Doesn't require database connections or access to your actual data sources.
• Free Plan Available: Start with Scratch Canvas at no cost before upgrading to premium features.

• Limited Pricing Transparency: Specific pricing details for paid tiers aren't publicly available on the website.
• Newer Product: Less user reviews and community feedback available compared to established diagramming tools.
• Learning Curve for Complex Stacks: Describing intricate data architectures in plain English may require practice to get optimal results.

• Client Presentations: Data consultants can quickly generate professional diagrams showing proposed data architectures for client pitches and presentations, saving hours of manual design work while maintaining a polished appearance.
• Audit Documentation: Compliance teams need to document data flows and lineage for regulatory audits. Datadef automatically generates compliant documentation with clear visual representations of data pipelines and transformations.
• Onboarding New Team Members: Data teams can create comprehensive visual documentation of their entire data stack, helping new engineers understand complex architectures faster without lengthy explanations.
• Impact Analysis Before Changes: Before modifying ETL pipelines, engineers can use Datadef to visualize upstream and downstream dependencies, identifying which dashboards and KPIs will be affected by proposed changes.
• Technical Documentation: Data engineers can maintain up-to-date architecture diagrams for internal wikis and documentation repositories, with JSON export enabling version control alongside code.
• Migration Planning: Teams planning cloud migrations or data warehouse transitions can map out current and future states side-by-side, making it easier to communicate migration strategies to stakeholders.