Releasesby GlyphTry the new Astro experience
Astro's navigation now gives you a single view across your entire Organization instead of a single Workspace. Deployments, Dags, and Astro IDE projects all appear across Workspaces in one view, with Workspace context on every row. Filter to a specific Workspace when you need to, or work from the full picture across your Organization.
Also shipped Jul 15, 2026Astronomer in July 2026 →
BigQuery supports data governance tags , which let you enforce column-level security and data masking
BigQuery supports data governance tags , which let you enforce column-level security and data masking. Data governance tags are a type of Resource Manager tag that you can attach to sensitive columns and use in BigQuery data policies to grant conditional access to your users. This feature is in Preview .
Integrated SaaS listings on Snowflake Marketplace (General availability)
Select Integrated SaaS listings now let you start a free trial of a provider’s application directly from a Marketplace listing. This experience replaces the trials previously offered through Snowflake Partner Connect and brings these trials into the Marketplace, where discovery, trial, and purchase all happen in one place.
Consumer-controlled maintenance policies , General Availability
Consumer-controlled maintenance policies for Snowflake Native Apps are now generally available. Consumers can define when Snowflake Native App upgrades happen in their accounts by creating a maintenance policy and applying it to an account or an individual app. For more information, see Consumer-controlled maintenance policies .
Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
Model Serving now supports Thinking Machine Labs Inkling as a Databricks-hosted model. This mixture of experts (MoE) model supports text and image inputs, a 1 million token context window, and is optimized for coding, reasoning, and agentic tool-use tasks. You can access this model using Foundation Model APIs . Inkling is available in Public Preview .
Custom URLs for your Databricks account (Public Preview)
You can now claim and enable a Custom URL that gives your Databricks account a single, branded entry point (for example, acme.databricks.com ) for all users and workspaces. See Give your Databricks account a custom URL .
AI Search High QPS is now generally available
AI Search High QPS is now generally available for standard endpoints. Set a target QPS on standard AI Search endpoints to power high-throughput, real-time workloads like search bars, recommendation systems, and entity matching. High QPS is enabled by default, but existing endpoints are not affected.
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Test against an existing Deployment in the Astro IDE
You can now test code in the Astro IDE against an existing Astro Deployment in your Workspace, instead of only an ephemeral test Deployment. Testing against an existing Deployment reuses its configuration, connections, and resources, and skips provisioning a new environment.
New Deployment analytics experience
Astro now offers a new version of the Deployment analytics experience with expanded Airflow visibility, including API server and webserver metrics, Dag processor coverage, Kubernetes executor and KubernetesPodOperator coverage, parse time, and richer per-status and per-component breakdowns.
Cross-region disaster recovery for GCP dedicated clusters is generally available
Self-service cross-region disaster recovery (DR) for GCP dedicated clusters is now generally available. You can configure a primary and a secondary dedicated cluster in different GCP regions, and fail over with minimal downtime and data loss.
Task-level utilization metrics
Astro now shows CPU and memory utilization at the Dag, task, and task instance level in a new Resource Metrics tab in the Airflow UI, with task-to-worker mapping that ties resource use back to the Dag, task, task run, and time window.
Additional improvements
- Updated Astro infrastructure to improve reliability and performance.
Enable Sub-Second Pipelines
You can now enable Sub-Second Pipelines on Airflow 3.2+ Deployments that use the Astro executor . Sub-Second Pipelines pair the Astro executor with a dedicated event-driven Event Scheduler that picks up and dispatches API-triggered Dag runs in under a second and sustains approximately 1,000 Dag runs per minute, where the Celery executor queues and falls...
Review code with Otto
You can now use Otto to review your Airflow code automatically when you open a pull request or merge request. The Otto review action posts a sticky summary comment, adds inline comments where it finds issues, and offers commit suggestions where a concrete fix is available.
Additional improvements
- When you add the first IP address range to your organization's IP access list, the Astro API now rejects the request with a 400 Bad Request error if your current IP address falls outside the submitted ranges, which prevents you from accidentally locking yourself out.