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Snowflake Native Apps now support provider-side configurations for consumer-controlled maintenance policies. Providers can set the UPGRADEINMAINTENANCE_WINDOW parameter to ensure updates align with user schedules. Providers can also align Snowpark Container Services compute pool node maintenance.

Snowflake updated Performance Explorer in Snowsight with a tabbed layout for queries, warehouses, and tables. Engineers can now use filter presets and CSV exports for side-panel data. Search the side panel detail tables for keywords of interest to quickly isolate specific query substrings.

Snowflake now supports primary keys in dynamic tables to enable incremental refreshes downstream of full-refresh tables. By using the RELY property or deriving keys from GROUP BY clauses, the system tracks row-level changes even during full rewrites. Snowflake uses it for change tracking.

BigQuery has introduced the AI.KEY_DRIVERS function in preview for BigQuery ML. This tool allows data engineers to identify segments of data that cause statistically significant changes to a summable metric, streamlining automated root cause analysis within standard SQL workflows.

Claude Opus 4.7 improves software engineering by handling complex, long-running tasks with better instruction following and self-verification. It resolves 13% more tasks on coding benchmarks than its predecessor.

Snowflake now offers documentation optimized for AI agents and LLMs via a hierarchical llms.txt file and Markdown versions of every page. This structure allows tools to fetch only the sections they need, reducing token usage. Markdown files strip HTML noise to provide cleaner context for agents.

Snowflake has expanded AIPARSEDOCUMENT to the AWS London region, enabling local text extraction and layout analysis. This update supports document parsing without requiring cross-region inference for users with specific residency needs. It streamlines regional document processing workloads.

BigQuery now supports reverse ETL via EXPORT DATA statements to move data directly into AlloyDB. This preview feature simplifies syncing analytical results with operational databases. You can now use EXPORT DATA statements to reverse ETL BigQuery data to AlloyDB.

Snowflake has announced the general availability of Cortex Search Service replication. Data engineers can now sync search services across accounts within an organization using replication or failover groups.

Snowflake introduced public preview monitoring for Cortex Search. Engineers can enable request logging to track query patterns and latency. Data is stored in the AIOBSERVABILITYEVENTS table. You can review query patterns, response times, and request details for a Cortex Search Service.

Snowflake now supports Apache Iceberg tables using internal Snowflake storage. This preview feature removes the need for external cloud storage management while maintaining Fail-safe data protection for permanent tables.

The Common AI Provider integrates LLM and agent capabilities directly into Apache Airflow, supporting 20+ model providers. It features TaskFlow decorators like @task.llm and @task.agent for structured outputs and multi-step reasoning. HookToolset turns any of them into AI agent tools.

ClickStack's March 2026 update introduces AI Notebooks for agentic observability workflows. Key upgrades include always-on Event Deltas for root cause analysis and SQL chart expansion with Grafana-style macros. AI acts as a collaborator within the SRE workflow rather than a separate interface.

BigQuery has introduced managed AI functions like AI.IF, AI.SCORE, and AI.CLASSIFY to process unstructured data using Gemini. An optimized mode is now in preview to reduce LLM token consumption and query latency when processing large datasets. These tools allow SQL-based data classification.

DuckLake v1.0 is a production-ready lakehouse format that stores metadata in a SQL database rather than scattered files. It supports data inlining to prevent small file problems by staging updates in the catalog. It makes much more sense to store all metadata of a lakehouse in a database.

DuckLake v1.0 introduces a new standard for data lake architectures, focusing on data inlining to enable streaming capabilities. This release aims to bridge the gap between batch processing and real-time ingestion within the DuckDB ecosystem. Unlocking streaming for data lakes is a core objective.

DuckDB v1.5.2 introduces the stable DuckLake v1.0 lakehouse format, featuring data inlining and bucket partitioning. The update enhances Iceberg support with ALTER TABLE and partitioned deletes. The test suite has uncovered a bug that was triggered by INSERT INTO statements, now resolved.

Snowflake now supports custom budgets to control credit consumption for AI features like Cortex and Snowflake Intelligence. Engineers can track costs by tagging specific users or business units. The budget tracks only the credits consumed by those tagged users to ensure precise cost allocation.

SQL cells in BigQuery notebooks have reached general availability, allowing data engineers to execute queries directly within the notebook interface. This update streamlines the transition between data exploration and analysis. SQL cells in BigQuery notebooks are now generally available.

Dagster 1.13 introduces partitioned asset checks, allowing data quality validation at the same granularity as time-based data. It also debuts the dagster-io/skills repository to improve AI-assisted development. Dagster 1.13 is about making the framework easier to adopt.

BigQuery introduced stateful operations for continuous queries in Preview. This update enables complex analysis by retaining data across rows or time intervals. You can now use stateful operations in continuous queries, which let you perform complex analysis using JOINs and windowing aggregations.

Snowflake announced the general availability of AI_COMPLETE document intelligence, enabling multimodal reasoning over PDFs and Word files. It allows users to extract entities and structured insights from reports, contracts, spreadsheets, and technical documentation directly within data workflows.

Snowflake Data Clean Rooms API version 14.3 introduces the general availability of the Collaboration API. This architecture supports fully symmetric, multi-party collaboration with flexible roles and fine-grained data access controls. It also adds stored procedures for configuration management.

Snowpipe Streaming now supports general availability for server-side error logging. Failed rows are captured in dedicated tables with full payloads and metadata. This allows engineers to query, analyze, and reprocess failed rows using standard SQL without affecting ingestion costs.

Snowflake has released workspaces replication for general availability, enabling user workspaces to be included in database replication and failover groups. Replicated workspaces are read-only in secondary accounts.