GCP Release Notes: April 30, 2026
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GCP Release Notes: April 30, 2026

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BigQuery

Breaking

Starting May 7, 2026, new transfer configurations that transfer data from Google Ads using the BigQuery Data Transfer Service will require Multi-factor authentication (MFA) for individual user authentication. For more information, see May 7, 2026.

Bigtable

Feature

You can use Bigtable agent skills to let AI agents assist with Bigtable-related tasks, such as schema design, generating SQL queries, and infrastructure management.

Cloud CDN

Feature

Google Kubernetes Engine (GKE) Gateway supports Cloud CDN to help you cache content closer to your users, improve application latency, and reduce origin load. Using GKE Gateway APIs, you can configure, manage, and fine-tune caching configurations for different segments of your traffic. This feature is Generally Available.

For more information, see Configure Cloud CDN for Gateway.

Cloud Database Migration Service

Feature

Database Migration Service for heterogeneous migrations to Cloud SQL for PostgreSQL and AlloyDB for PostgreSQL now supports PostgreSQL version 18. For more information, see Supported source and destination databases.

Cloud Load Balancing

Feature

Backend Cloud Storage buckets are available for regional external Application Load Balancer and regional internal Application Load Balancer.

For more information, see:

This feature is in General availability.

Cloud SQL for MySQL

Fixed

Cloud SQL has made the following enhancements to expand the list of eligible Cloud SQL Enterprise Plus edition instances that support planned operations with near-zero downtime.

Cloud SQL for PostgreSQL

Fixed

Cloud SQL has made the following enhancements to expand the list of eligible Cloud SQL Enterprise Plus edition instances that support planned operations with near-zero downtime.

Cloud SQL for SQL Server

Feature

If a specific active query is blocked or running much longer than expected, it can block other dependent queries. Cloud SQL for SQL Server offers an optional feature that lets you view and terminate blocking queries.

For more information, see Blocked active queries (Preview).

Cortex Framework

Announcement

Release 7

Feature

Cortex Framework version 7 introduces a highly modular deployment architecture, simplified data orchestration via Dataform, and enhanced support for the next generation of AI-ready data products with BigQuery – enabling enterprises to build, extend, and deploy robust data models and pipelines for advanced analytics and AI/agentic use cases. To request access to the GitHub repository, see Request access.

  • Key architecture features

    • Modular deployment and smart dependency resolution: Deploy exactly what you need. Simply select the desired data products, and the framework will automatically identify, retrieve, and transform the necessary tables to the data foundation layer, ensuring no unnecessary data is processed. Easily add custom fields or logic without breaking standard models.
    • Native dependency graph generation: Automatically handle the order of operations for complex data models, ensuring prerequisite tables are ready before deploying data foundations and data products.
    • Bring your own CDC (External data foundation): A flexible architecture allows you to bypass built-in Change Data Capture processing and connect your own existing CDC pipelines directly to the foundation layer.
    • Serverless BigQuery-native execution: Orchestration relies entirely on Google Cloud Dataform, enabling easy data transformation and processing using version-controlled SQL. No standing compute clusters or Airflow VMs are required, minimizing infrastructure overhead.
    • Incremental loading: Native, incremental loading configurations ensure highly efficient processing of large enterprise datasets. Significantly reduce BigQuery processing time and costs by processing only new or changed data since the last execution.
    • High data fidelity & semantics: Features dynamic discovery and ingestion of custom fields, robust semantic mapping (e.g. translating cryptic table names to business-friendly terms), AI-ready metadata, and advanced logic handling (e.g. integrating the SAP TCURX table for exact currency decimal shifts).
    • Multi-system SAP support: Built-in dynamic dependency resolution and logic differentiation allows seamless compilation and parallel deployment for both SAP ECC and SAP S/4HANA source systems. Seamlessly bring in data from multiple SAP ERP systems.
    • Extensibility framework: Maintain a clean separation between your custom data products and Cortex Data Products using namespaces. This ensures you can benefit from the latest Cortex updates without impacting your custom work.

  • Data product accelerators

    BigQuery based data product accelerators for SAP ERP (SAP ECC and S/4HANA), purpose-built for AI-readiness with agent-friendly metadata included for all data model and field-level descriptions.

  • Solution samples for SAP ERP or SAP BDC

    Solution reference architectures and code snippets for demonstrating how to build use cases on top of Cortex Framework data products to address particular business needs.

    • Sales Performance Insights: How to accelerate insights into sales performance health using SAP ERP or SAP BDC sourced data.
    • Supplier Spend Analysis: How to accelerate insights into supplier spend position using SAP ERP or SAP BDC sourced data.

Gemini Enterprise

Announcement

Gemini Enterprise: Access to Gemini 3.1 Pro and 3 Flash in limited availability

Gemini Enterprise users now have access to 3.1 Pro and 3 Flash in limited availability. This means that Gemini Enterprise app users will get the generally available Service Level Objectives (SLOs) for these models as part of the Gemini Enterprise Service while the models are in Preview. We are currently monitoring the model’s performance and determining the appropriate, long-term (SLOs) and plan to offer these SLOs soon. Additionally, we currently support standard Data Location (Data Residency or “DRZ”) commitments in US/EU/global multi-regions.

For more information, see: Using Gemini 3.1 Pro and 3 Flash in limited availability.

Google SecOps

Feature

VPC Service Controls for Google SecOps general availability

VPC Service Controls is now GA. This feature helps to create perimeters and protect resources and services data from accidental or targeted action by external or insider entities. This in turn can minimize unwarranted data exfiltration risks from Google Cloud services. For more information, see Configure VPC Service Controls for Google SecOps and Overview of VPC Service Controls.

Resource Manager

Feature

Generally Available: The Resource Manager remote MCP server is now generally available. The remote MCP server lets AI agents dynamically search for and identify all Google Cloud projects that you have the necessary permissions to access. This ensures that agents have the correct identifiers (such as project ID, project number, and lifecycle state) before attempting more specific resource configurations.

For more information, see Use the Resource Manager remote MCP server.

SAP on Google Cloud

Announcement

BigQuery Connector for SAP version 2.13

Version 2.13 of the BigQuery Connector for SAP is generally available (GA). This version resolves an issue where data replication for partitioned tables failed when the table schema caching feature was enabled.

For more information, see What’s new with BigQuery Connector for SAP.

VPC Service Controls

Feature

VPC Service Controls feature: Support for using IAM roles in ingress and egress rules to allow access to resources protected by a service perimeter is generally available. This feature includes the following updates:

For more information, see Configure IAM roles in ingress and egress rules.

Source: Google Cloud Platform

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