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Databricks Genie Powers Conversational Insights in Atlassian Rovo

Atlassian is leveraging the Databricks AI/BI Genie Conversation API to power its new Databricks Query Runner agent, making informed data-driven decisions accessible to every employee with no SQL required.

Databricks Genie Powers Conversational Insights in Atlassian Rovo

Published: January 14, 2026

Product3 min read

Summary

  • Atlassian's new Databricks Query Runner agent is powered by the Databricks AI/BI Genie Conversation APIs, enabling any user to access on-demand insights through natural language on Atlassian’s Rovo.
  • The integration empowers non-technical teams, from marketing to product, to make data-driven decisions directly within their Atlassian workflow.
  • The partnership will expand with a new Rovo Search Connector for Databricks and an Atlassian Rovo MCP connector, making enterprise data even more accessible.

Powering the Future of Teamwork

For millions of users, Atlassian is where work happens. Tools like Jira and Confluence are the backbone of modern collaboration, tracking complex projects and storing critical organizational knowledge. At Databricks, we share the belief that data and AI are fundamental to the future of collaboration.

The challenge has always been bridging the gap between data and daily work. Atlassian and Databricks have partnered to close that gap, bringing AI-powered, conversational analytics to anyone working with Rovo. Instead of wrangling with SQL or waiting for experts, users simply ask questions in natural language and receive real, traceable insights from their Databricks environment, enabling faster, smarter, and more democratized decision-making.

Our focus with Rovo is to connect knowledge, people, and workflows so teams move faster. By combining natural language capabilities with Databricks’ robust data platform, we’re empowering teams to ask questions and make data-driven decisions in the moment-securely, intuitively, and at scale.— Jamil Valliani, Head of Product, AI, Atlassian

Streamlining Analytics With Databricks Query Runner + Genie

To bring this vision to life, Atlassian built the Databricks Query Runner agent, powered by the Databricks AI/BI Genie API, to enable real-time, self-service analytics within Atlassian Rovo.

AI/BI Genie is the "engine inside" that enables anyone on the team, from product managers to marketers and support leaders, to query structured Databricks data by asking questions in plain English. This shifts data access from specialized experts to the whole organization, eliminating knowledge silos and delays.

Genie is pivotal in our effort to democratize data access. It enables us to provide a powerful yet intuitive interface in Rovo where any team member can query their Databricks environment. This combination of accessibility and trust in the underlying data is fundamental to accelerating data-driven operations across the entire organization.— Manav Trivedi, Senior Technical Product Manager, Atlassian

This integration provides powerful new capabilities:

  • Stay in the Flow: Insights delivered within Rovo keep users focused, eliminating the need to switch tabs or tools. They can start a Rovo chat natively while writing a Confluence page or while updating their Jira tickets. Users now have direct access to data insights through the Databricks Query Runner Agent on Rovo.
  • Empower Everyone: Makes data-driven decisions accessible, not just for analysts, but across the enterprise.
  • Enterprise-grade Security: Built atop Atlassian’s trusted cloud platform; data stays secure, compliant, and governed.

This combination—Rovo, with Atlassian's Genie-powered agent—unlocks value across the entire business:

  • A Product Manager can ask: “Which customer segments are most engaged with Feature X over the last 90 days?” to guide roadmap prioritization.
  • A Marketing Leader can ask: “What was the ROI and conversion uplift from our most recent campaign?” and have the data populated directly into their Confluence retrospective.
  • A Support Lead can ask: “Are ticket volume or resolution times linked to higher customer churn this quarter?” to analyze churn risk in real-time.
  • A Finance Manager can ask: “How did cloud infrastructure costs trend after scaling Feature Y?” to get cost breakdowns for financial planning.

Building the Future of Collaborative Analytics Together

The launch of Atlassian's Databricks Query Runner is just the beginning. Building on the data sharing partnership established with Atlassian Analytics and the Delta Sharing protocol, these new AI capabilities are reshaping the future of collaborative work.

We are also excited to be working with Atlassian to launch the new Rovo Search Connector for Databricks later this year, which will enable users to search and find Databricks tables and dashboards—all from within Rovo. In parallel, Databricks is working to onboard the Atlassian Rovo MCP Server to the Databricks Marketplace, further broadening access to powerful analytics for enterprise customers.

This partnership is reshaping the future of collaborative work by removing technical barriers and enabling everyone in the organization to access secure, real-time data.

To learn how Databricks AI/BI Genie can help you build effortless, AI-powered experiences and unlock real-time analytics:

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