Gemini Notebook Enterprise is updating its URL structure to include a 'go/' path and removing 'lm' from the hostname. Existing links will redirect automatically, but firewall configurations may require updates.
Explorer provides a unified editor for database management and logs. Users can save investigations as Notebooks to enable reproducible analysis across project teams.
Shared Serverless allows notebooks and files within the same bundle to share serverless compute resources and environment configurations defined in a pyproject.toml file.
Pipeline Builder is now in public preview. It provides a visual interface for orchestrating Snowflake Notebooks, Python files, ML jobs, and SQL as task graphs within a Git-integrated project structure.
The Fabric Notebook Toolkit connects coding agents to Fabric notebooks via CLI, allowing agents to inspect code, execute cells, and validate changes interactively.
Bring dashboard panels, Explore queries, and Grafana Assistant findings into one editable notebook. Add your reasoning alongside the evidence, then share it so teammates can understand how you reached your conclusions.
Behavioral changes Spark Connect DataFrame execution metrics now hide internal operators and metrics associated with row filters and column masks. This protects information about policy execution when inspecting df.executionInfo.metrics , including its text representation. The boundary of the protected portion of the plan and its own metrics remain visible.
Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup and no console navigation required.
Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup, no credit card, and no console navigation required.
You can now run compiled Java or Scala code in clean rooms. Run a JAR as its own clean room analysis, or register a function from a JAR and call it from a clean room notebook as a temporary UDF. See Run JAR workloads in Databricks clean rooms .
Gemini 3.8 Flash is generally available (GA) in Singapore ( sg ) with in-region at-rest data residency (DRZ) and machine learning processing (MLP). For more information, see Data residency for Gemini Enterprise Standard and Plus Editions and Gemini Notebook Enterprise .
The Discover page and domains are now generally available. Discover is a curated browsing experience that helps users find assets across Databricks without requiring deep knowledge of catalog hierarchies.
You can now define, manage, and provision your New Relic Notebooks using Terraform. This lets you maintain notebooks in version control, review changes in pull requests, and deploy them alongside the rest of your infrastructure code. Key features Full CRUD support: Create, read, update, and delete New Relic Notebooks as a native Terraform resource.
Release v5.19.0 New Model additions EmbeddingGemma2 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture. It encodes text, images, audio, and video, individually or combined in one input, into a shared 768-dimensional vector space for cross-modal retrieval, semantic similarity, clustering, and classification.
🗂️ Agent activity classifications Where someone opens the agent doesn’t tell you much about what they’re working on. People often explore data in a notebook, and a thread that starts as a quick question can end with a finished app. Context Studio now categorizes agent activity by what they’re for, not where they started.
You can now apply tags to dashboards, notebooks, Databricks apps, and Genie Agents to organize and categorize your workspace assets. This capability is now generally available. Both governed and ungoverned key-value tags are supported. See Apply tags to Unity Catalog securable objects .
Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with Spark running on the Amazon EKS clusters they already...
Gemini 3.8 Flash is generally available (GA) and enabled by default in the Gemini Enterprise app in the global , us , and eu regions. Gemini Enterprise administrators can use the Gemini 3.8 Flash toggle in feature management to turn off the model for their users, or turn it on for unsupported in-country regions by confirming the warning dialog to route...
You can use existing Oracle Cloud Infrastructure (OCI) Compute capacity reservations with supported Data Science resources, including notebook sessions, single-node jobs and job runs, and model deployments. Bring Your Own Reservations (BYOR) uses Compute capacity that's reserved in your tenancy without transferring the reservation to Data Science.
20.16.0 (2026-09-23) Features add gpt-6-sol, gpt-6-luna, and claude-opus-5-5 to the cost tables and the playground (59d09f4) js: add dataset split write helpers (aab229f) js: add secrets management helper (c282563) spans: sort the span list endpoint by start_time (03f62e1) Bug Fixes agents: close out the PXI turn trace when a server tool raises (3a3d57b)...
Today, we are excited to announce the General Availability of New Relic Lens , a powerful data federation capability designed to simplify and accelerate data discovery and analysis across multiple environments.
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the entire job. Databricks captures the snapshot automatically for eligible runs. See Session restore for serverless jobs .
Projects with VPC Service Controls enabled can't add website URLs as notebook sources in Gemini Notebook Enterprise. This is because direct website ingestion performs a live web crawl, generating outbound traffic beyond Google networks, which would violate VPC Service Controls perimeter policies.
Gemini 3.8 Flash is generally available (GA) in the global , us , and eu regions. For more information, see: Manage features on the web app Data residency for Gemini Enterprise Standard and Plus Editions and Gemini Notebook Enterprise
You can now use Git Folder Serverless to share serverless compute and a pyproject.toml -managed environment across notebooks and files in a Git folder. See Git Folder Serverless .
You can apply Sensitive Data Protection content policies to your Gemini Enterprise connectors, apps, and Gemini Notebook Enterprise notebooks. Content policies inspect data for violating or unwanted content and block it.
Use Genie Code to develop and troubleshoot deep learning workloads in notebooks connected to AI Runtime. Now in Public Preview , it generates distributed training code, resolves environment and dependency issues, and debugs GPU and distributed workload failures. See Use Genie Code with AI Runtime .
If you use Okta as your external identity provider (IdP) with Workforce Identity Federation, you can configure System for Cross-domain Identity Management (SCIM). Configuring SCIM enables autocomplete when sharing Gemini Notebook Enterprise notebooks and when sharing agents in Gemini Enterprise.
You can now emit your own metrics directly from your Vercel Functions and analyze them alongside Vercel's built-in observability data. Use the metric() function from the @vercel/functions package to record any value you care about, like request latency or business events, and attach attributes to filter and group by: Once emitted, your custom metrics are...
Gemini 3.6 Flash is generally available in the us and eu multi-regions, and an allowlist is no longer required to use Gemini 3.6 Flash in the us multi-region. To make Gemini 3.6 Flash available to users in the Gemini Enterprise app, administrators must turn on the Gemini 3.6 Flash feature toggle in the Google Cloud console.
The Amplitude MCP server exposes a smaller set of outcome-based tools rather than one tool per operation. An agent picks a goal, like working with dashboards or cohorts, and passes an action, instead of loading separate tools for each CRUD step.
Restore the Python variables and Spark session from a serverless compute job run into a new interactive notebook, so you can debug a failure or explore results without rerunning the job. Databricks automatically captures a state snapshot when an eligible run fails, runs 30 minutes or longer, or is cancelled, and keeps it for 7 days after the run completes.
You can now use %uv init , %uv add , and %uv sync in serverless notebooks running environment version 5 or above to create a Python project, add dependencies, and sync its environment. See Create reproducible project environments with %uv .
Gemini 3.7 Flash is generally available (GA) in the Gemini Enterprise mobile app. Mobile app users can select and use the Gemini 3.7 Flash model for their conversations within the app. To make the model available, administrators must turn on the Gemini 3.7 Flash feature toggle in the Google Cloud console.
Users can star Dives, Notebooks, Flights, Guides, databases, and shares to keep them at the top of the Object Explorer sidebar, organize them into folders, and reorder them.
- Update SECURITY_ADVISORY.md chore: add grouped Dependabot config [Aikido] Fix security issue in aiohttp via minor version upgrade from 3.13.3 to 3.13.5 Feat/remove code cov update dependabot and deps chore(deps): resolve Dependabot security alerts [Aikido] AI Fix for Template Injection in GitHub Workflows Action [GR-1710] Adopt guardrails-ai-types 0.5.0...
Gemini 3.7 Flash is generally available (GA) in the global , us , and eu regions. To make Gemini 3.7 Flash available to users in the Gemini Enterprise app, administrators must turn on the Gemini 3.7 Flash feature toggle in the Google Cloud console. Note: Gemini 3.7 Flash is not available in the Gemini Enterprise mobile app.
New Relic Notebooks is now generally available and integrated into the core New Relic platform. Notebooks let you build structured, collaborative documents that combine live telemetry queries, visualizations, and markdown text in a single workspace, ending "tab fatigue" and preserving the investigative context that disappears when an incident is over.
🤖 Quickly toggle from chat to notebook Previously, you needed to wait a minute for Hex to convert your Thread to a notebook, now it happens automatically. After starting a conversation with the Hex Agent, you can easily switch views and build in the underlying notebook.
Full page Genie Code is now generally available. Full page Genie Code is a command center experience where the active chat is shown prominently, notebooks and files open as tabs alongside it, and you can run multiple chats in parallel. Start work directly from Genie Code, and personalize how it works with skills, instructions, and MCP servers.
Workspace sharing is now available in public preview for Declarative Native Apps. Providers can share a whole directory of files and folders by declaring a workspace in the application package manifest. Consumers get a read-only workspace when they install the app, and can browse the folder structure and open the files.
Serverless compute access control is now generally available. Workspace admins can govern who runs serverless workloads through two built-in serverless compute objects: Default Interactive Compute (governs access to notebooks and Databricks Connect) and Default Automated Compute (governs access to jobs and Spark Declarative Pipelines on Lakeflow).
Notebook Project Objects have been renamed to Code Bundles . The object, its behavior, and its access model are unchanged: only the name and the corresponding SQL, CLI, and Snowsight labels are updated. Existing objects are recognized as Code Bundles automatically, with no migration required.
Packaged clean rooms are now generally available. In a packaged clean room, a provider supplies notebooks, JARs, and data that a consumer runs against their own data without seeing the provider's code or data assets. See Packaged clean rooms .
The web terminal in notebooks connected to serverless GPU compute (AI Runtime) is now in Public Preview . Use it to run shell commands, monitor GPU usage with nvidia-smi , install libraries, and manage files directly on the compute. This requires serverless GPU environment version 5 or above. See Run shell commands in Databricks web terminal .
With this release, Snowflake Notebooks in Workspaces gives you more visibility and control over the compute that runs your notebooks, both while you develop interactively and when you troubleshoot scheduled runs.
AI code suggestions in Cortex Code are now generally available. This release also includes updated keybindings and bug fixes. Notebook Python cells , no changes to keybindings.
CoCo Desktop is now generally available. CoCo Desktop is a native Mac and Windows desktop application that brings CoCo’s full agentic capabilities into an IDE-like surface, with a file editor, integrated terminal, agentic AI loop, agentic browser, agentic notebook, and deep Snowflake awareness.
You can now mention Genie Code in a notebook comment to get AI help without leaving the comment thread. Type @ in a comment, select Genie Code , and enter your request. Genie Code replies inline in the thread. See Code comments .
Register Scala and Java user-defined functions (UDFs) in Unity Catalog and reuse them across notebooks, jobs, and SQL warehouses with Unity Catalog governance. Reuse existing JVM logic and get better performance than Python UDFs on all compute, including serverless. See Scala and Java user-defined functions (UDFs) in Unity Catalog .
ClickStack can now generate full dashboards and linked investigative workflows from a single prompt, using an AI Notebook and the same MCP tools available to external agents like Claude, Cursor, and Codex.
Solution Accelerators are no longer a separate listing type in Databricks Marketplace. The content is unchanged, but they are now categorized as apps (interactive applications) or notebooks (code-based accelerators). See What is Databricks Marketplace? .
New features Server-Sent Event prediction streams. HTTP prediction requests can now ask for Accept: text/event-stream to receive start , output , log , metric , and terminal completed events for predictors that explicitly opt in with @streaming / @cog.streaming .
Added Added Anthropic Opus 4.6 fast mode variants Fixed Resolved native tool placeholder interpolation in prompts Gemini: capped Flash output tokens to 8192 across providers Fixed Windows unit test path normalization Fixed flaky hooks tests on Windows Bedrock: handle thinking and redacted_thinking blocks correctly in message conversion and streaming Prevent...
What : We had tools to create dashboards and notebooks, now we have tools to edit existing ones. Iterate with your agent on a dashboard post creation. The tools can: • Add, remove and move content like headers, text and charts. • Update chart metadata to change visualizations. • Update dashboard name and description.