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What’s new with Google Data Cloud
Google Cloud released several updates to its data analytics, database, and business intelligence tools throughout 2026. These updates emphasize AI-driven automation, real-time streaming, and improved interoperability.
Why it matters
These updates enable businesses to use natural language for data analysis and reduce manual database management. This lowers the technical barrier for deploying real-time AI agents and scalable data pipelines.
The details
- Lakehouse managed tables for Apache Iceberg are now in preview. - Managed Service for Apache Airflow has reached general availability for version 3.1. - Cloud SQL now offers autoscaling read pools to dynamically adjust read capability. - Google released in-house ODBC and JDBC drivers for BigQuery in Preview.
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Key connections
Google-managed Apache Iceberg tables in Lakehouse
BigQuery is related to AI Agents
power your downstream applications and AI agents
Lakehouse is built with Apache Iceberg
Lakehouse tables for Apache Iceberg
Google Cloud's NoSQL Database portfolio, including Bigtable
Google Cloud's NoSQL Database portfolio, including... Firestore
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Memorystore is related to NoSQL
Google Cloud's NoSQL Database portfolio, including... Memorystore
Google Cloud Labs is related to BigQuery
Hosted by Google Cloud Labs... Solve data-driven challenges with BigQuery
Google Cloud Labs is related to AlloyDB
Hosted by Google Cloud Labs... Solve data-driven challenges with... AlloyDB
Google Cloud Labs is related to Gemini
Hosted by Google Cloud Labs... Solve data-driven challenges with... Gemini
Managed Service for Apache Airflow is built with YAML
declarative YAML-based orchestration pipelines
Looker is built with Conversational Analytics
Conversational Analytics for Looker Embedded environments
Conversational Analytics is built with Gemini
powered by Gemini
Companies like Telenor... are turning data into insights and actions, grounded by Looker’s semantic layer
Pet Circle uses Looker
Companies like... Pet Circle... are turning data into insights and actions, grounded by Looker’s semantic layer
Fluent Commerce uses Looker
Companies like... Fluent Commerce... are turning data into insights and actions, grounded by Looker’s semantic layer
Lighthouse Intelligence uses Looker
Companies like... Lighthouse Intelligence... are turning data into insights and actions, grounded by Looker’s semantic layer
Companies like... Wego... are turning data into insights and actions, grounded by Looker’s semantic layer
Companies like... ROLLER... are turning data into insights and actions, grounded by Looker’s semantic layer
BigQuery Studio is built with Gemini
enhanced Gemini assistant in BigQuery Studio
Companies like Arrive... are leveraging Looker’s newest AI-driven capabilities
Companies like... Audika... are leveraging Looker’s newest AI-driven capabilities
Companies like... Carousell... are leveraging Looker’s newest AI-driven capabilities
Framebridge uses Looker
Companies like... Framebridge... are leveraging Looker’s newest AI-driven capabilities
Companies like... GumGum... are leveraging Looker’s newest AI-driven capabilities
Companies like... Intel... are leveraging Looker’s newest AI-driven capabilities
Overdose Digital uses Looker
Companies like... Overdose Digital... are leveraging Looker’s newest AI-driven capabilities
Ocean Network Express uses Looker
Companies like... Ocean Network Express... are leveraging Looker’s newest AI-driven capabilities
Companies like... Subskribe... are leveraging Looker’s newest AI-driven capabilities
Companies like... Promevo... are leveraging Looker’s newest AI-driven capabilities
Cloud SQL is related to Microsoft Entra ID
Public Preview of Microsoft Entra ID... integration with Cloud SQL
Cloud SQL is related to SQL Server
Cloud SQL for SQL Server
Microsoft Entra ID is related to Multi-Factor Authentication
enhanced security features like Multi-Factor Authentication (MFA)
JDBC driver for BigQuery... connection for Java applications
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