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Konio Studios

Konio DataWorkbench

Modern workspace for SQL, storage, and data-driven workflows

A unified environment for exploring, querying, migrating, and shaping data across SQL Server, SQLite, and Azure Storage—built for daily operational work with a polished developer experience.

Designed with care for long work sessions: clean layout, thoughtful spacing, and carefully crafted light and dark themes with Konio’s charcoal + teal aesthetic.

SQL editing & execution

  • Rich SQL editor with syntax highlighting and inline diagnostics
  • Full support for SQL Server and SQLite
  • Persistent SQL Server connections (no constant re-auth)
  • Execution logs with clear, structured output

AI-assisted SQL

  • Integrated assistant (Ollama today; Azure AI planned)
  • Generate, refine, or explain SQL queries
  • Context-aware suggestions based on connected databases
  • Optional privacy-preserving local inference

Database exploration

Browse servers, databases, schemas, tables, and stored procedures; open multiple query consoles; and export databases to structured JSON for analysis or migration.

  • SQL Server: explore metadata and export databases to JSON
  • SQLite: open local .db files, inspect data, and export to JSON

Azure Storage integration

A guided, user-friendly workflow for exploring SQLite databases stored in Azure: sign in, select subscription → storage account → container/file share, download into a safe scratch workspace, and operate locally without risk.

Migration tools

  • Export SQL Server databases to structured JSON
  • Convert JSON exports into compatible SQLite databases
  • Validate schema compatibility and catch issues early

Plugin system

Extend the Workbench with custom logic, automation, and UI enhancements.

  • Plugins in Python, JavaScript (Node), or TypeScript (ts-node)
  • Access metadata; automate workflows; respond to application events
  • Plugins run as external processes for stability and isolation
  • Built-in editor and compile/install flow in the UI

Local safety & isolation

  • Azure databases download to a sandboxed scratch directory
  • No accidental writes to Azure
  • Clear warnings for operations that modify data