What's new in AlloyDB: Scale PostgreSQL for agentic AI and hybrid clouds
Key Takeaways
Scaling PostgreSQL for agentic AI and hybrid clouds with AlloyDB using vector indexing, vector search, and natural language interfaces
Original Description
Demanding transactional, analytical, and AI workloads require more than standard PostgreSQL. In this session, learn how AlloyDB, a 100% PostgreSQL-compatible database, can empower your applications with agentic AI through its latest capabilities, including vector indexing, vector search, and natural language interfaces. Join us to find out what’s new in AlloyDB Omni, the downloadable edition for hybrid and multicloud environments, and gain insights into how to scale your workloads while achieving superior price-performance.
Watch more: 100+ sessions from Google Cloud Next 26 → https://www.googlecloudevents.com/next-vegas/
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Sujatha Mandava, Ravi Murthy, Bhaven Avalani, Riaan Postma
BRK2-022
#GoogleCloudNext
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: AI Systems Design
View skill →Related Reads
📰
📰
📰
📰
Stop Calling Node.js “Single-Threaded”: A Look Under the Hood
Medium · JavaScript
Best hosts file managers in 2026: SwitchHosts, Gas Mask, and the rest
Dev.to · Locahl
TypeScript `noUncheckedIndexedAccess` in 2026: The Flag You Should Have Turned On Years Ago
Dev.to · jsmanifest
How the Brazilian CPF Validation Algorithm Works in JavaScript (Step-by-Step)
Dev.to · Mehru
🎓
Tutor Explanation
DeepCamp AI