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Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWDatabricks NotebooksCollaborative data science with familiar languages and toolsTry for freeSchedule a demoWork across engineering, data science and machine learning teams in one workspace. Use multiple languages, built-in data visualizations and automatic versioning, all within Notebooks.BenefitsWork togetherShare Notebooks and work with peers across teams in multiple languages (R, Python, SQL and Scala) and libraries of your choice. Real-time coauthoring, commenting and automated versioning simplify collaboration while providing control.Share insightsQuickly discover new insights with built-in interactive visualizations, or leverage libraries such as Matplotlib and ggplot. Export results and Notebooks in HTML or IPYNB format, or build and share dashboards that always stay up to date.Production at scaleSchedule Notebooks to automatically run machine learning and data pipelines at scale. Create multistage pipelines using Databricks Workflows. Set up alerts and quickly access audit logs for easy monitoring and troubleshooting.FeaturesData AccessQuickly access available data sets or connect to any data source, on-premises or in the cloud.DashboardsShare insights with your colleagues and customers, or let them run interactive queries with Spark-powered dashboards.Multi-language supportExplore data using interactive notebooks with support for multiple programming languages within the same notebook, including R, Python, Scala and SQL.Run Notebooks as JobsTurn notebooks or JARs into resilient production jobs with a click or an API call.Interactive VisualizationsVisualize insights through a wide assortment of point-and-click visualizations. Or use powerful scriptable options like Matplotlib, ggplot and D3.Jobs SchedulerExecute jobs for production pipelines on a specific schedule.Real-Time CoauthoringWork on the same notebook in real time while tracking changes with detailed revision history.Notebook WorkflowsCreate multistage pipelines with the control structures of the source programming language.CommentsLeave a comment and notify colleagues from within shared Notebooks.Notifications and LogsSet up alerts and quickly access audit logs for easy monitoring and troubleshooting.Automatic VersioningAutomatic change-tracking and versioning to help you pick up where you left off.Permissions ManagementQuickly manage access to each individual notebook, or a collection of Notebooks, and experiments, with one common security model.Git-based ReposSimplified Git-based collaboration, reproducibility and CI/CD workflows.ClustersQuickly attach Notebooks to auto-managed clusters to efficiently and cost-effectively scale up compute.Runs SidebarAutomatically log experiments, parameters and results from Notebooks directly to MLflow as runs, and quickly see and load previous runs and code versions from the sidebar.IntegrationsConnect to Tableau, Looker, Power BI, RStudio, Snowflake and also through your favorite IDEs such as VS Code — allowing data scientists and engineers to use their tools of choice.How it worksShared and interactive Notebooks, experiments and extended files support allow data scientist teams to organize, share and manage complex data science projects more effectively throughout the lifecycle. 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