Introducing Atlassian's Databricks Query Runner

For any organization, data lies at the heart of every great decision. But let's be honest: getting meaningful insights from that data often involves wrangling SQL queries, waiting on busy analysts, and juggling too many different tools. This time-consuming process can pull your focus away from innovating, scaling, and launching the next big thing.

That’s why Atlassian’s latest move is so exciting. Atlassian has teamed up with Databricks to seamlessly integrate their platforms marrying Atlassian’s robust collaboration tools with Databricks’ powerful unified data capabilities. The result is a game-changer for data access, enabling teams to unlock the full value of their proprietary data through smooth, AI-powered experiences. Enterprise customers have been clamoring for easier, faster ways to derive insights using AI. As Databricks’ own GenAI leadership has noted, organizations across every function are eager to harness their data to drive meaningful decisions if they have accessible tools to accelerate analysis. Atlassian’s answer to this call is the Databricks Query Runner, an AI-driven query agent that delivers instant insights from your Databricks data right inside the Atlassian ecosystem.

Meet Atlassian Databricks Query Runner

Atlassian Databricks Query Runner acts as a smart, conversational data analyst embedded in your workflow. Available through Atlassian’s new AI assistant platform, it allows you to ask questions in natural language and get immediate answers and even auto-generated dashboards from your Databricks data. In other words, you simply pose a question in plain English, and the Query Runner fetches the information you need in seconds.

Under the hood, Query Runner is powered by Atlassian’s AI/BI Genie, a conversational analytics engine that understands everyday language. It’s deeply integrated with the Databricks platform to deliver real-time, self-service analytics. In practice, this means anyone on your team can query structured data stored in Databricks and get results without writing a single line of SQL or waiting for a data specialist. All of this happens right within your Atlassian tools, so your data analysis stays in the flow of your work. And because the Query Runner runs on Atlassian’s trusted cloud infrastructure, your data remains secure, compliant, and reliable throughout the process.

Key Capabilities

• Ask Anything, Instantly: Type a question in plain language, and Query Runner will pull up accurate, traceable answers directly from your Databricks data almost instantly.

• Stay in the Flow: All analysis happens within your Atlassian workspace. There’s no need to switch apps or lose your train of thought while digging for data.

• Empower Everyone: This tool democratizes data access. It enables every team member, not just data analysts, to uncover insights and make data-driven decisions. No technical expertise or SQL knowledge is required to ask questions and get useful answers.

• Enterprise-Grade Security: Built on Atlassian’s secure cloud platform, Query Runner ensures your data stays protected, compliant, and reliable. You get the convenience of self-service analytics without sacrificing enterprise-level security or governance.

Real-World Use Cases

To illustrate the impact, here are a few scenarios showing how Databricks Query Runner can help different teams make smarter decisions on the fly:

• Product Management: A product manager exploring new feature opportunities might ask, “Which customer segments are most engaged with Feature X over the last 90 days?” Query Runner taps into usage data and instantly reveals which customer segments are most active, helping the team prioritize their product roadmap.

• Marketing: A marketing team reviewing a recent campaign could question, “What was the ROI and conversion uplift from our latest campaign?” The Query Runner immediately calculates the campaign’s ROI and conversion lift, feeding those metrics directly into the team’s retrospective discussion and informing future marketing strategies.

• Customer Support: Support leaders concerned about customer churn might wonder, “Are ticket volume or resolution times linked to higher customer churn this quarter?” The tool analyzes support ticket data alongside churn rates, highlights any significant correlation, and flags accounts that might be at risk giving the support team a chance to proactively reach out before customers churn.

• Finance: Even finance teams can benefit. While preparing an operational review, a finance manager might ask, “How did cloud infrastructure costs trend after scaling Feature Y?” Query Runner quickly fetches the relevant cost data and shows the trend over time, providing a clear picture of how that new feature impacted spending. This insight ensures that engineering decisions stay aligned with the company’s financial plans.

Building the Future of Work Together

The launch of Databricks Query Runner is just the beginning of Atlassian’s deeper partnership with Databricks, which was announced earlier this year. By leveraging the open Delta Sharing protocol, Atlassian Analytics can now seamlessly pull in even more data from Databricks. In fact, this collaboration effectively doubles the amount of data available for analysis, enabling customers to turn information into action more effortlessly than ever before.

And there’s more on the horizon. Atlassian is already working on a Databricks Connector that will let users easily search for Databricks tables and dashboards. This upcoming connector, expected later this year, will further integrate Databricks into the Atlassian suite and expand the universe of data at your fingertips. Likewise, the Databricks Query Runner agent, currently available within Confluence, is slated to arrive in Jira by the end of the year. Soon, even more teams across your organization will have instant data insights embedded in their daily workflows.

It’s clear that Atlassian and Databricks are shaping a future where data-driven decision making is effortless and accessible to all. The future of work is here, and it’s one where every decision-maker can tap into the insights they need, exactly when they need them, without ever missing a beat.