Sometimes, the most useful insight comes from seeing the connections within your data.
Which supplier connects to several factories? How does a product reach a store? Which hub connects different parts of your network?
Seeing these relationships makes them easier to understand.
Applying graph algorithms to that same network takes the exploration further.
Which businesses are most influential? Where do closely connected groups emerge? Which hubs do many of the shortest routes depend on?
GraphVisualizer brings both capabilities together, helping you see the connections and uncover the patterns behind them, right inside Oracle Analytics.
Without writing code, you can:
🔎 Find a business, customer, or account and explore its connections.
👥 Discover connected groups and important connecting points.
🛤️ Follow shortest routes and spot circular relationships.
🎨 Use colors, icons, shapes, and highlighting rules to make important patterns stand out.
🔄 Switch layouts to explore the same network from different perspectives.
GraphVisualizer brings interactive, browser-based graph analytics inside Oracle Analytics, while heavier workloads can use Oracle Database’s graph capabilities, with the resulting network data brought into an Oracle Analytics workbook and visually explored through GraphVisualizer.
🎥 Watch the video
Compute rich Graph algorithms in Oracle Analytics
📦 Download the plugin
GraphVisualizer for Oracle Analytics
⚙️ Set up the plugin
- Open Console → Extensions in Oracle Analytics.
- Import the downloaded ZIP file directly, without extracting it.
- Open your workbook and find GraphVisualizer in the Visualization Library → Custom Visualizations.
📊 Try the sample datasets
Supply Chain Demo
Explore connections between suppliers, factories, distribution hubs, and stores.
- Add Source Name, followed by Target Name, to the Rows shelf.
- Add Monthly Shipment Value USD to Values (Edge Weight).
- Add Source Role to Category (Node Group).
- Follow the YouTube video above for a walkthrough of the demo.
Dataset :
Screenshot from Graph Visualizer :
Bank Transaction Demo
Explore connections between accounts, follow transaction paths, and discover groups and circular relationships.
- Add SRC_ACCT_ID, followed by DST_ACCT_ID, to the Rows shelf.
- Add AMOUNT to Values (Edge Weight).
- Add SRC_SEGMENT to Category (Node Group).
Dataset :
Screenshot from Graph Visualizer :
Values and Category are optional for both demos. These optional fields give you more ways to explore colors, relationship weights, and conditional formatting.
Have fun exploring connections in your data !
