Oracle SQL Developer Data Modeler vs. Oracle Spatial and Graph vs. Percona Server for MongoDB vs. Toad Data Modeler Comparison Chart

Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server.

Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF.