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Tools

Treasure Data provides a comprehensive suite of tools and interfaces for interacting with the Customer Data Platform. Whether you prefer a graphical interface, command-line tools, or programmatic access through SDKs and drivers, Treasure Data has the right tool for your workflow.

Treasure Data Web Console

The TD Console is Treasure Data's browser-based graphical user interface, providing an intuitive way to manage your data, queries, and workflows.

Learn more about TD Console

CLI

The TD Toolbelt is Treasure Data's command-line interface that enables you to manage databases, import data, run queries, and automate workflows directly from your terminal.

Key Features:

  • Database and table management
  • Data import and export
  • Query execution and job management
  • Workflow automation

Get started with TD Toolbelt

SDKs and Drivers

Treasure Data provides a wide range of SDKs, database drivers, and integrations to connect your applications and tools to the platform.

Database Drivers

  • JDBC Driver - Connect Java applications and BI tools
  • ODBC Driver - Standard database connectivity for various platforms

Data Science Tools

  • Python - Pandas, Jupyter, and PySpark integrations
  • R Language - Statistical computing and data analysis

Game Development SDKs

  • Unity SDK - Mobile and PC game integration
  • Unreal Engine SDK - Real-time 3D game analytics

SQL Client Tools

  • SQL Workbench/J
  • RazorSQL
  • Squirrel SQL
  • Jasper Reports
  • IBM SPSS

Explore all SDKs and integrations

Data Integration

Client Side Batch Integration (Embulk)

Embulk is a powerful bulk data loader that supports importing data from various sources including AWS S3, MySQL, CSV files, and Google Sheets.

Client Side Logging (Fluentd)

Fluentd enables continuous data streaming from application logs, web servers, and custom applications directly to Treasure Data.

Supported Sources:

  • Apache and Nginx access logs
  • Application logs (Ruby, Python, PHP, Java, Node.js, .NET, Perl, Scala, C/C++)
  • Custom JSON, CSV, TSV, and LTSV formats