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Data & Analytics Highlights: Insights from Google Cloud Next ’25

Abstract Sphere

At Next ’25, Google showed how data platforms are becoming smarter and more automated – turning raw information into insights faster and with less manual work. From new AI features in BigQuery to easier reporting in Looker and powerful upgrades in AlloyDB AI, the updates help teams across all industries move from data to decisions with greater speed and control.

BigQuery: A More Intelligent Data Platform

Google introduced new features that make BigQuery easier to use and more powerful:

  • Gemini in BigQuery (preview) brings AI assistance into your everyday work—helping with data prep, writing SQL, and finding insights automatically.

  • Multimodal Tables (preview) now support different types of data in one place—like text, images, and vectors—making it easier to prepare data for AI models.

  • AI Query Engine (pre-announced) will allow you to run advanced language models right from SQL.

  • BigQuery Metastore (now generally available) gives you a central place to manage and discover data across systems.

  • Workload Management tools help balance jobs and control spending with built-in automation.
     

Whether you're managing marketing campaigns, financial reports, or customer behavior analytics, BigQuery now helps your teams work faster with AI assistance and better cost control.

Looker: Easier, More Conversational BI

Looker added features that make it easier to interact with data—even for non-technical users:

  • Gemini in Looker (preview) lets users ask questions in natural language and receive visual charts or slides.

  • Conversational Analytics API (preview) enables chat-style analytics inside your apps.

  • Looker Reports (now generally available) are ready-to-use dashboards that connect with tools like Google Sheets and Excel in real time.
     

Decision-makers no longer need to wait for data analysts. They can explore data, generate reports, and track KPIs themselves—cutting time and reducing errors.

AlloyDB AI: Smarter Databases with Built-in AI

AlloyDB AI helps companies add AI to their databases directly:
 

  • Gemini Integration lets users ask questions about structured data in plain language.

  • Vector Search Optimizations improve speed and accuracy for AI applications.

  • New AI Models support more advanced queries, including those involving text, images, and video.

  • AI Query Engine in AlloyDB allows natural language to be used within SQL statements.
     

Google also announced broader support for PostgreSQL migrations, Firestore with MongoDB compatibility, and Arm-based compute for better performance and efficiency. You can modernize legacy systems, reduce operational complexity, and bring AI into your databases without rebuilding everything from scratch.

Why It Matters

Together, these data platform updates help businesses automate routine tasks, reduce human error, and make smarter decisions—faster. TeraSky can help you apply these tools to your existing data infrastructure, whether you’re building AI models, automating reports, or scaling real-time analytics.

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