Graph Development

Welcome! This guide provides an overview of the essential tools and processes for managing and developing your graph databases. Here, you will find comprehensive guides and resources to help you design, load, query, and explore a graph database. Click on the sections below to learn more about each area.

Load Data

Efficiently loading data into your TigerGraph databases is crucial for successful graph analysis.

Key Features:

  • Select an active workspace.

  • Use various connectors to load data.

  • Choose between a Step-by-Step Guide or GSQL Template for data loading.

Design Schema

The Schema Designer provides a user-friendly interface for managing your graph database schema.

Key Features:

  • Define vertex and edge types.

  • Specify properties and indexes.

  • Establish relationships between elements.

GSQL Editor

The GSQL Editor is a powerful tool for developing and executing GSQL queries.

Key Features:

  • Four work areas: File List Panel, Result Panel, Schema Designer Panel, and Main GSQL Editing Panel.

  • Shortcuts for efficient query execution.

  • File List for organizing and managing GSQL queries.

  • Query List for managing custom queries.

Learn More:

Explore Graph

Explore Graph allows users to visually interact with their graph data, helping to navigate and understand complex data structures.

Key Features:

  • Visual representation of graph data.

  • Identify and explain relationships between data points or entities.

Prerequisites:

  • Active workspace with loaded data.

  • Load Data completed.

Learn More:

Advanced Features

This section covers the powerful and sophisticated functionalities that allow you to leverage TigerGraph Cloud to its fullest potential.

Key Features:

  • Export data to Amazon S3.

  • Configure User Defined Functions (UDF).

Next Steps

Learn how to manage your workgroups and workspaces in Workgroup and Workspace Management.