What’s new with Google Data Cloud

October 26 - October 30 Knowledge Catalog introduces self-learning context enrichment and Knowledge Studio (Preview) Knowledge Catalog's enrichment agent now learns from agent and user interactions and from sources such as playbooks, code repositories, and business documents to find and fix missing or outdated context, which teams can package into reusable context sets. Knowledge Studio, the new studio experience in Knowledge Catalog, lets context engineers and data stewards explore their data estate conversationally, navigate a visual context graph, and review changes before they reach users and agents. Based on internal benchmarks, grounding agents in Knowledge Catalog makes them nearly 4x more accurate, with up to 33% lower latency and using up to 75% fewer tokens. Read the launch blog. Knowledge Catalog now grounds AI agents in the semantic models you already trust (GA) Knowledge Catalog natively ingests semantic models and metric definitions from Looker LookML, BigQuery Graph, dbt MetricFlow, Snowflake Semantic Views, Databricks Metric Views, and SAP Core Schema Notation, and connects them with lineage, data quality, and access controls in a single context graph. Gemini Enterprise, BigQuery conversational analytics, and custom agents retrieve a metric's trusted formula, verified join path, and backing table in one context call, without moving data or rewriting business logic. Read the launch blog. October 19 - October 23 BigQuery introduces column aliases in GoogleSQL and cross-region table copy GA GoogleSQL in BigQuery now supports column aliases in SELECT and WHERE clauses (GA opt-in), avoiding nested subqueries and simplifying migrations from Snowflake and Teradata. Cross-region table copying is also now generally available to streamline regional data replication and disaster recovery. Review the BigQuery release notes. Conversational analytics in BigQuery expands to Canada and adds CSV/PDF export Conversational analytics in BigQuery is now available in Montréal (northamerica-northeast1) and Toronto (northamerica-northeast2) to support Canadian data residency requirements. You can also now export agent responses — including text, tables, charts, and citations — directly to CSV or PDF (GA). Learn more about conversational analytics in BigQuery. AlloyDB Omni 18.4.0 is now GA with Advanced Query Insights and external KMS support AlloyDB Omni 18.4.0 brings PostgreSQL 18.4 to self-hosted and multi-cloud environments, adding the google_insights_v2 extension for granular query execution and wait-event diagnostics. It also adds Thales CipherTrust Manager support for Transparent Data Encryption (TDE) alongside HashiCorp Vault. Explore the AlloyDB Omni release notes. Cloud SQL for PostgreSQL adds managed connection pooling and Private Service Connect defaults Cloud SQL for PostgreSQL now supports enabling built-in managed connection pooling on existing Private Service Connect (PSC) instances to scale high-concurrency workloads. PSC is also now the default private IP option for new Cloud SQL instances in new projects to simplify cross-project networking. Review Cloud SQL updates. Customer momentum: Unico prevents over $5B in fraud on Google's Agentic Data Cloud Digital identity platform Unico migrated from Databricks Spark/Scala clusters to BigQuery and Spanner at the core of its data architecture. Unifying real-time transaction streams with petabyte-scale analytics enabled low-latency identity verification that has prevented over $5 billion in fraud. Read the Unico case study. Developer guide: Getting started with Looker Data Apps Following the debut of Looker Data Apps in preview, a new walkthrough on the Google Developer Community shares practical patterns for building prompt-driven applications inside Looker. Read the guide on the Google Developer Community. October 12 - October 16 Looker Data Apps are now in Preview to build and host interactive, agent-generated applications natively inside Looker Generated using natural language prompts, the Antigravity CLI, or Claude Code, these interactive web applications, natively hosted inside Looker, transform business reporting into operational systems of action. Users can test scenarios, adjust parameters, and trigger workflows in downstream platforms while inheriting LookML semantic modeling, row-level security, and access controls with no runtime LLM token costs. Read the announcement blog. Build end-to-end data science pipelines with the Data Agent Kit Following the general availability of the Data Agent Kit, a new end-to-end walkthrough demonstrates how data teams can build, test, and schedule machine learning pipelines directly from their preferred code editors. Explore the walkthrough and codelab. Manage dashboard agents as code to bring CI/CD and version control to LookML dashboards Data teams can now declare agent parameters, configurations, and prompt instructions alongside dashboard files in code. This integration enables standard developer workflows fo

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