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BigQuery release notes detailing new features and technical improvements for data engineers.

BigQuery release notes detailing new features and technical improvements for data engineers.

BigQuery release notes detailing new features and technical enhancements for data engineers.

Snowflake announces automatic schema evolution support for Snowpipe Streaming, enabling streaming pipelines to adapt to schema drift in near real-time without manual DDL intervention.

Snowflake announces the public preview of its High Performance connector for Kafka, enabling data ingestion from Kafka into Snowflake using Snowpipe Streaming architecture for high throughput and low latency.

Snowflake announces general availability of support for Google Cloud Private Service Connect IDs to create network rules and policies, enhancing cloud security and connectivity.

Snowflake Postgres is now available in public preview, enabling creation and management of Postgres instances directly from Snowflake with database servers on dedicated virtual machines.

Snowflake introduces Notebooks in Workspaces in preview, providing a managed environment for data science and ML development with Jupyter integration, Snowpark Container Services, and features for governance, collaboration, and cost management.

BigQuery release notes detailing new features and technical improvements for data engineers.

Local-first AI-powered document intelligence platform featuring offline RAG, semantic search, and contradiction detection for data analysis and investigative workflows.

Snowflake introduces a new CATALOG_LINKED_DATABASE_USAGE_HISTORY view to track credit usage (compute and cloud services) for catalog-linked databases, with billing starting December 15, 2025.

Snowflake introduces vector aggregate functions for element-wise mathematical operations on vector columns, optimized for machine learning and data science workflows requiring statistical operations on embeddings.

Snowflake announces general availability of private connectivity for internal stages on Google Cloud, extending this security feature to Business Critical accounts.

Snowflake introduces a default pipe feature for Snowpipe Streaming, simplifying data ingestion by eliminating the need to manually create pipes using CREATE PIPE DDL statements.

Snowflake announces general availability of interactive tables and interactive warehouses, optimized for low-latency interactive workloads such as real-time dashboards and data-powered APIs.

Snowflake announces updates to Data Clean Rooms, including removal of the lookalike audience modeling template from the UI and its availability via API, along with enhancements for private preview features.

Snowflake announces general availability of WORM (Write Once, Read Many) backups to protect critical data from modification or deletion, with key use cases for regulatory compliance, recovery, and cyber resilience.

Snowflake introduces custom actions for budgets, enabling automated stored procedure execution when credit consumption thresholds are reached, such as suspending warehouses or sending custom alerts.

BigQuery release notes detailing new features and technical enhancements for data engineers.

Snowflake announces general availability of cost anomaly detection, automatically identifying spikes or dips in consumption based on prior levels to help optimize spending at account and organization levels.

Snowflake introduces dual warehouse support for dynamic tables, enabling performance and cost optimization by separating initialization operations from regular refreshes.

Snowflake announces general availability of the AI_REDACT function, which uses an LLM to automatically detect and redact personally identifiable information (PII) from unstructured text data.

Announcement of Apache Flink Agents 0.1.1 release, an extension for integrating AI agents into Flink streaming pipelines, featuring 11 bug fixes and improvements.

Snowflake enhances access history by expanding SQL statement monitoring to more objects and commands, including externally managed Apache Iceberg tables and advanced DDL operations.

Snowflake introduces a simplified pricing model for Snowpipe, charging a fixed credit amount per gigabyte of data ingested, which reduces costs and improves predictability for data ingestion workloads.