Releasesby GlyphDataflow support for the C4A machine series of Arm processors is now generally available
Dataflow support for the C4A machine series of Arm processors is now generally available. Arm-based VMs are optimized for power efficiency and can provide improved price-performance for many workloads. For more information, see Use Arm VMs on Dataflow .
Also shipped Feb 27, 2026Google Cloud in February 2026 →
What's new in Sigma
AI apps Call API action (Beta) You can create actions that call API endpoints in Sigma workbooks. This allows you to trigger workflows, enrich data, and interact with external systems without leaving Sigma. See Create actions that call API endpoints .
Access - Export MCP server portal logs with Logpush
Availability Only available on Enterprise plans. MCP server portals now supports Logpush integration. You can automatically export MCP server portal activity logs to third-party storage destinations or security information and event management (SIEM) tools for analysis and auditing.
Gateway - New protocols added for Gateway Protocol Detection (Beta)
Gateway Protocol Detection now supports seven additional protocols in beta: Protocol Notes IMAP Internet Message Access Protocol , email retrieval POP3 Post Office Protocol v3 , email retrieval SMTP Simple Mail Transfer Protocol , email sending MYSQL MySQL database wire protocol RSYNC-DAEMON rsync daemon protocol LDAP Lightweight Directory Access Protocol...
- Write support for the MCP server is now live: Users can now perform write operations via the MCP Server...
- Write support for the MCP server is now live: Users can now perform write operations via the MCP Server using the new query_rw tool. This enables programmatic data modification workflows in addition to read queries. Refer to the documentation and setup guide for read-only access for more details.
reasoning_effort="none" support for GLM 4.7 zai-glm-4.7 now accepts the reasoning_effort parameter
reasoning_effort="none" support for GLM 4.7 zai-glm-4.7 now accepts the reasoning_effort parameter. Reasoning is enabled by default , set reasoning_effort="none" to disable it for simple tasks where verbose reasoning blocks are unnecessary. The disable_reasoning parameter continues to be supported but will be deprecated soon.
Flux: Configure Control Message for Dynamic Mid-Stream Configuration
Flux now supports dynamic configuration updates mid-stream with the new Configure control message , enabling voice agents to adapt speech recognition behavior as conversations evolve, without disconnecting and reconnecting.
More from DataflowEvery Dataflow release →
Dataflow Managed I/O now supports rolling upgrades for streaming jobs
Dataflow Managed I/O now supports rolling upgrades for streaming jobs. With this feature, Dataflow upgrades your Managed I/O connectors in running pipelines as new connector versions become available. For more information, see Automatic upgrades .
Dataflow is available in the Bangkok ( asia-southeast3 ) region
Dataflow is available in the Bangkok ( asia-southeast3 ) region. Learn more about Google Cloud locations .
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM...
When you use min_ram or cpu_count resource hints for pipeline steps that don't require accelerators, Auto VM Selection (Instance Flexibility) is enabled automatically. With Auto VM Selection, workers are provisioned from a curated list of machine types that meet your RAM and CPU requirements.
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be...
Dataflow now serves a notice for when the Dataflow Runner v2 container image of a streaming pipeline will be upgraded. To use a new image and avoid the scheduled maintenance, launch a replacement job before the upgrade. For more information, see Runner v2 harness update .
Dataflow job builder now supports external Iceberg REST Catalogs as a source
Dataflow job builder now supports external Iceberg REST Catalogs as a source. You can now ingest data from external Apache Iceberg REST catalogs (IRC) directly into Lakehouse tables using Dataflow's job builder UI without writing code. For more information, see Import data from external Iceberg catalogs to Lakehouse using Dataflow .
Dataflow now supports speculative execution for batch pipelines
Dataflow now supports speculative execution for batch pipelines. This feature mitigates the impact of slow-running tasks ( stragglers ) by launching a redundant execution of these tasks. The first task to finish is used, and the other is canceled, which can improve the overall completion time of your pipeline. This feature is generally available.
Dataflow has updated and expanded its pipeline update features for streaming jobs: - Automated...
Dataflow has updated and expanded its pipeline update features for streaming jobs: Automated stop-and-replace updates : You can perform automated, declarative stop-and-replace updates to streaming jobs. Parallel updates with the same job name : When you perform automated parallel updates, you can use the same job name for the new replacement job.
Dataflow now supports NVIDIA RTX Pro 6000 GPUs
Dataflow now supports NVIDIA RTX Pro 6000 GPUs. You can use this GPU model to run your Apache Beam pipelines on Dataflow. RTX Pro 6000 GPUs are recommended for large, medium, and small model inference workloads. To configure your workers with this GPU model, set the accelerator type to nvidia-rtx-pro-6000 .