Explore complex schemas clearly
Browse schemas, tables, and views, inspect metadata and relationships, and read view definitions before moving into records or SQL.
Explore schemas, tables, and views, run Oracle SQL, work with records, and connect enterprise database logic to visible workflows, lineage, models, and tools.
Move from exploring Oracle to building useful workflows, shared tools, and trusted data products—all without losing the context behind the work.
Updated August 25, 2026. Available actions depend on the permissions granted to your connected account.
Browse schemas, tables, and views, inspect metadata and relationships, and read view definitions before moving into records or SQL.
Query Oracle directly while keeping results beside the structure and project work that give them meaning.
Create objects, add and update rows, delete records, import datasets, and generate relationally aware mock data when your permissions allow it.
Turn recurring Oracle work into transformations, run history, lineage, shared business models, functions, and internal apps.
Use the host, database or service, credentials, port, and supported wallet or security settings for the deployment.
Inspect tables, views, metadata, relationships, and records before writing or reusing SQL.
Move repeatable joins, calculations, scripts, and transformation steps into a workflow with ownership and run history.
Trace dependencies and deliver approved data through models, reusable functions, or internal apps.
WhoDB keeps familiar Oracle exploration, SQL, and record operations available while giving successful work a path into repeatable workflows and shared tools.
That is especially useful when Oracle is one part of a wider estate and teams need to understand how its data connects to warehouses, cloud services, and operational systems.
Straight answers about setup, everyday tasks, and how WhoDB fits into your workflow.
WhoDB lets teams browse schemas, tables, and views, inspect metadata and relationships, read records, and review view definitions.
Yes. Teams can run native Oracle SQL and keep results beside related data, workflows, and project context.
Yes. Teams can create objects, insert and update rows, delete records, import datasets, and generate mock data when their permissions allow it.
Yes. Oracle connections include supported wallet and security options alongside the host, database or service, credentials, and port.
Give your team one place to explore, understand, and build with data across the systems you already use.
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