--- title: "The next generation of Databricks Genie" source_name: "Databricks" original_url: "https://www.databricks.com/blog/next-generation-databricks-genie" canonical_url: "https://www.traeai.com/articles/69bda09d-17bb-4042-802a-37c68c873869" content_type: "article" language: "英文" score: 5 tags: ["Databricks","大数据","AI"] published_at: "2026-04-26T20:39:36+00:00" created_at: "2026-04-27T23:20:17.406836+00:00" --- # The next generation of Databricks Genie Canonical URL: https://www.traeai.com/articles/69bda09d-17bb-4042-802a-37c68c873869 Original source: https://www.databricks.com/blog/next-generation-databricks-genie ## Summary Databricks 发布了下一代 Genie，但文章缺乏技术深度和具体实现细节。 ## Key Takeaways - Genie 是 Databricks 的新工具，但未明确其核心功能。 - 文章偏向营销，缺少架构和技术原理描述。 - 可能影响数据处理实践，但信息不够具体。 ## Content Title: The next generation of Databricks Genie URL Source: http://www.databricks.com/blog/next-generation-databricks-genie Published Time: 2026-04-26T20:39:36+0000 Markdown Content: # The next generation of 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[All blogs](http://www.databricks.com/blog/category/all) 2. / [Platform](http://www.databricks.com/blog/category/platform) Table of contents * [Accurate responses without upfront modeling](http://www.databricks.com/blog/next-generation-databricks-genie#section-1) * [Connecting to enterprise systems and knowledge stores](http://www.databricks.com/blog/next-generation-databricks-genie#section-2) * [A globally unified home for business users](http://www.databricks.com/blog/next-generation-databricks-genie#section-3) * [Data and AI on every device](http://www.databricks.com/blog/next-generation-databricks-genie#section-4) * [Getting started](http://www.databricks.com/blog/next-generation-databricks-genie#section-5) Table of contents Table of contents * [Accurate responses without upfront modeling](http://www.databricks.com/blog/next-generation-databricks-genie#section-1) * [Connecting to enterprise systems and knowledge stores](http://www.databricks.com/blog/next-generation-databricks-genie#section-2) * [A globally unified home for business users](http://www.databricks.com/blog/next-generation-databricks-genie#section-3) * [Data and AI on every device](http://www.databricks.com/blog/next-generation-databricks-genie#section-4) * [Getting started](http://www.databricks.com/blog/next-generation-databricks-genie#section-5) [Product](http://www.databricks.com/blog/category/platform/product)April 26, 2026 # The next generation of Databricks Genie Unlocking business user access to insights across the data estate by [Ken Wong](http://www.databricks.com/blog/author/ken-wong), [Dillon Morrison](http://www.databricks.com/blog/author/dillon-morrison) and [Richard Tomlinson](http://www.databricks.com/blog/author/richard-tomlinson) Summary * A new version of Genie, that can answer questions beyond the boundaries of a Genie Space, is now available. * External knowledge stores such as Google Drive and Sharepoint can now be connected to Genie to enhance enterprise context. * The new Genie experience is available on the web as well as native iOS and Android mobile apps. * The business user oriented experience previously known as “Databricks One” has been renamed to Genie to reflect the fact that Genie is core to the experience. Today, we are excited to introduce the next generation of Genie. The new Genie can answer questions beyond the boundaries of a Genie Space, connect to enterprise knowledge sources like Google Drive and Sharepoint, and combine structured and unstructured data to generate insights.Genie now includes all capabilities previously known as Databricks One, marking a significant shift in how business users engage with the platform. Along with account-level access and native iOS and Android apps, Genie is becoming the primary way users experience Databricks - available anytime, anywhere. ## Accurate responses without upfront modeling Natural language analytics is now widely accessible, but delivering accurate, consistent answers remains a challenge. When Databricks entered this space, we chose not to build another error-prone text-to-SQL interface. Instead, we introduced [Genie Spaces](https://docs.databricks.com/genie/): curated experiences where teams apply guardrails to the AI, including dedicated knowledge stores, benchmarking, and verified metric logic for specific domains. Customers embraced this approach, creating over 1.5M Genie Spaces in 2026 alone. As adoption grew, they asked for a way to bring these experiences together without sacrificing trust. The new Genie does exactly this. From a single chat interface, it draws on the most relevant and trusted assets, including certified Genie Spaces, governed dashboards, and Databricks Apps, reusing the logic already embedded there. It relies on the same business logic your analysts and engineers have vetted, with metadata guiding routing so higher-trust sources take priority. This means you don’t need new context layers or lengthy model buildouts to get high-quality results. Genie builds on the logic your business has developed over years. ![Image 4: Genie's new unified chat interface](https://www.databricks.com/sites/default/files/inline-images/GenieOneChatv2.gif?v=1777236766) Expand The new Genie is powered by the latest reasoning models and new agent architecture, enhancing its ability to answer complex and open-ended questions. This is most evident when you tackle questions that span multiple data domains. > The most profound aspect of Genie’s unified chat is its agentic reasoning. It doesn't just find assets, it synthesizes distant, non-obvious relationships across the entire ecosystem in a way that is nothing short of astounding— Anthony Taylor, Data Engineer at Arthrex ## Connecting to enterprise systems and knowledge stores We know much of the context, especially higher-level business knowledge, lives in unstructured sources like Google Docs, SharePoint, and other enterprise systems. That’s why we’ve now added built-in connectors and support for MCP connections in Genie. This enables Genie to access these sources and take actions that connect insight to execution. All connections are managed through the Unity Catalog AI Gateway, ensuring they’re simple to use and well governed. ![Image 5: Genie now connects to different structured and unstructured sources](https://www.databricks.com/sites/default/files/inline-images/GenieGDrivev1.gif?v=1777236766) Expand ## A globally unified home for business users AI is bringing data closer to every business user, but access remains fragmented. Users still have to know where to go, and agents operate with siloed views that limit their effectiveness. This model no longer works. Last year, we [introduced Databricks One](https://www.databricks.com/blog/introducing-databricks-one), a streamlined experience that helps business users access dashboards, apps, and Genie in one place. Uptake of the product has been tremendous. We’ve brought these concepts into Genie and removed the final barrier to simple access by eliminating the Databricks workspace boundary, creating a global home for Databricks. This experience now replaces Databricks One. To maintain compatibility for existing users, we’ve kept the`/one` URL, providing a single front door for data and AI. For many teams, Genie is quickly becoming the default interface for business users. > By combining Premier’s curated, AI-ready data with the Databricks platform, Genie lets even non-technical users dive into our data and ask questions in everyday language without missing a beat. In one place, users can get answers that are backed by transparent, risk‑adjusted data. This means teams can pinpoint improvement opportunities quickly, turning insights into action.— Tim Riddle, Senior Product Director, Premier Inc Creating a true home for business users requires more than aggregating assets. It must be intuitive, easy to navigate, and abstract away underlying complexity. To support this, the new Genie experience also offers: * **Automated identity management** keeps access continuously in sync via Entra and Okta * **Domains** group assets by business concept (e.g. supply chain or marketing), not by workspace * **Custom URLs** provide a single, memorable entry point like`mycompany.databricks.com` * **Unified login** removes friction as users move across workspaces, which now scale to more than 100,000 users * **Unity Catalog** ensures consistent governance across the entire experience * **Business semantics** to power assets and Genie’s unified chat with trusted metric definitions With this foundation, Genie becomes the one place business users go to find, understand, and use data, without needing to know how it’s organized behind the scenes. ## Data and AI on every device Genie’s mission is to make data, AI, and insights accessible to every employee, but a desktop-only experience doesn’t reach most of them. Retail associates, clinicians, field teams, and leaders on the move all work away from a laptop. For this reason, we are excited to introduce a native mobile app for Genie on iOS and Android. The full Genie experience is now on your phone, including dashboards , apps, and chat, powered by the same governed data and logic. Users get the same trusted answers wherever they are. This enables business users to get answers in the moment, wherever they work. ![Image 6: Genie is coming to iOS and Android soon via native apps](https://www.databricks.com/sites/default/files/inline-images/Genie-Mobile3.gif?v=1777236766) Expand ## Getting started If you’re excited to learn more about these incredible new Genie capabilities: * Check out the[product documentation](https://docs.databricks.com/workspace/genie) for the new Genie UI * Read about the[new unified chat](https://docs.databricks.com/workspace/genie-chat) experience * Understand how Genie now works at the[account-level](https://docs.databricks.com/workspace/genie-account) * Work with your Databricks account team to request access to the Genie mobile app We look forward to seeing how Genie brings data and AI to every user in your organization. ### Get the latest posts in your inbox Subscribe to our blog and get the latest posts delivered to your inbox. ## Sign up * Work Email * Country Country* By clicking “Subscribe” I understand that I will receive Databricks communications, and I agree to Databricks processing my personal data in accordance with its [Privacy Policy](https://www.databricks.com/legal/privacynotice). 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