More Powerful and More Connected
We’re excited to announce the release of graph.build Studio v3.2, a major update that expands the platform’s capabilities for designing, transforming, and managing both semantic (RDF) and property graph (LPG) models.
This version focuses on improving clarity, consistency, and control, bringing enhanced modeling tools, smarter automation, and better integration for modern data teams.
Advanced Ontology and ETL Modeling
Version 3.2 introduces enhanced search, disambiguation, and visual clarity for both ontology and ETL model design. Finding classes, properties, and transformations within complex projects is now faster and more intuitive, helping teams focus on modeling rather than maintenance.
Git-Based Version Control
With Git integration, you can now version, compare, and collaborate on models just like source code. This brings transparency, traceability, and team-friendly workflows to graph modeling projects.

Canonical Ontology Generation
To promote consistency and interoperability across projects, Studio now includes canonical ontology generation. This ensures your semantic models are automatically aligned to reusable, stable identifiers, improving reliability when integrating data across systems or teams.
On-Demand SHACL Generation
During the publishing process, Studio can now generate SHACL shapes on demand, validating your data models automatically. This makes it easy to enforce data quality and conformance within your workflows without additional manual setup.
Automatic Diagram Generation
For improved visualization, Studio v3.2 automatically generates diagrams from both semantic ontologies and LPG schemas. These diagrams provide instant, shareable views of your models, ideal for documentation, collaboration, and onboarding.
High-Performance Ontology Loading
Large external ontologies can now be loaded at high speed, with support for multiple formats and GZIP compression. Studio handles it efficiently so you can start modeling faster.
Built-in Core Ontologies
Version 3.2 ships with a library of built-in core ontologies (including Schema.org, PROV, and SKOS), giving users a reliable foundation for semantic modeling right out of the box.

Semantic SQL ETL Virtualization
The new Semantic SQL ETL Virtualization feature bridges the gap between relational and graph data by allowing users to create semantic mappings directly from SQL sources, without writing code. This accelerates integration of traditional databases into graph workflows.
Building on Our Foundation
Version 3.2 builds on the strong foundation of previous releases, continuing our mission to make graph data design accessible, collaborative, and powerful. Each new feature has been developed with real-world feedback from our growing user community.
Try It Today
The latest version of graph.build Studio is available now on AWS Marketplace. To learn more or request a demo, visit graph.build.