Teamwork Graph is Atlassian’s unified data layer that connects teamwork data from across Atlassian apps, like Jira and Confluence, as well as external tools. It enables organizations to centralize their data, break down silos, and streamline workflows.

For developers, Teamwork Graph offers opportunities to contribute to and leverage this unified data model, enabling richer integrations and smarter, more contextual experiences for users.

How Teamwork Graph works

Unified data model

Teamwork Graph is a common data model that represents the building blocks of teamwork.

Learn more about Teamwork Graph

Object types

Objects are instances of data in the graph, and every object belongs to an object type that defines its category and properties.

Explore object types

Relationships

Relationships map connections between objects, linking documents to work items, messages to projects, and users to teams.

Explore relationships

What's possible

There are two main ways to integrate with Teamwork Graph: accessing data via the Teamwork Graph API, or adding data to Teamwork Graph using connectors. Currently, an app can either call the Teamwork Graph API or provide a custom connector, but it can’t do both at the same time.

Accessing data in Teamwork Graph (EAP)

Use the Teamwork Graph API to query unified data and relationships across Atlassian apps and connected tools, so you can power intelligent experiences in your apps.

Call the Teamwork Graph API

Adding data to Teamwork Graph (EAP)

Build connectors that bring data from external apps into the Teamwork Graph, making it searchable and actionable across Atlassian experiences.

Build a Teamwork Graph connector

Use cases

Connecting to Teamwork Graph provides you with a unique opportunity to build smarter, more integrated applications within the Atlassian ecosystem. Some examples of use cases include:

Adding data to Teamwork Graph

Unify data across tools: Build connectors that ingest data from third-party SaaS tools (like Google Drive, Slack, Salesforce, Workday, GitHub, etc.) or internal systems into Teamwork Graph.
Enhance existing apps: Add a Teamwork Graph connector to your existing app so that its data becomes discoverable and actionable across Atlassian experiences, such as Chat and Search.
Power analytics, reporting, and AI: Add data into Teamwork Graph to enable advanced analytics, reporting, and AI-driven insights.

Accessing data in Teamwork Graph

Power your app with unified data: Fuel your app’s features with comprehensive data from across Atlassian and connected third-party tools, enabling richer, more integrated user experiences.
Enable smarter features: Leverage relationship and activity data to deliver smart recommendations, personalized dashboards, or context-aware features.
Detect patterns and insights: Traverse the graph to uncover dependencies, blockers, or collaboration patterns—powering advanced analytics and workflow automation.
Simplify integration: Access unified cross-app and cross-tool data through a single GraphQL endpoint, eliminating the need to stitch together multiple Atlassian app-specific APIs and accelerating development.