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Databases Articles

7 articles

Related Tags

Customers(3)
Cloud SQL(1)
Business Intelligence(1)
Data Analytics(1)
Google Cloud logoGoogle Cloud
49 min read
Backend•2026-03-31

Real-world success with Spanner’s fully interoperable multi-model database

This post explores real-world customer success stories using Google Cloud Spanner's multi-model database capabilities across four use cases.

Customers
Databases
Google Cloud logoGoogle Cloud
85 min read
AI•2026-03-31

Spanner's multi-model advantage for the era of agentic AI

This post explores how Google Cloud's Spanner database is designed to power agentic AI workflows through its multi-model architecture.

Databases
Google Cloud logoGoogle Cloud
36 min read
Architecture•2026-03-30

How ID.me Scaled to 145M Users While Reducing Operational Risk

ID.me describes how they migrated their identity platform to Google Cloud to support 160 million members and 40,000 users per minute.

Customers
Databases
Google Cloud logoGoogle Cloud
24 min read
Architecture•2026-03-26

Manhattan Associates powers over a billion daily API calls with Google Cloud databases

Manhattan Associates migrated its supply chain SaaS from Oracle/DB2 to Google Cloud databases, now handling 1B+ API calls per day.

Customers
Databases
Google Cloud logoGoogle Cloud
45 min read
Data Engineering•2026-03-26

What’s new with Google Data Cloud

Google Data Cloud recaps weekly product updates spanning databases, analytics, and AI integrations from January to March 2026.

Databases
Business Intelligence
Data Analytics
Google Cloud logoGoogle Cloud
66 min read
Backend•2026-03-18

Streamline read scalability with Cloud SQL autoscaling read pools

Google Cloud SQL introduces generally available autoscaling for read pools, enabling dynamic scaling of read replicas for MySQL and PostgreSQL.

Cloud SQL
Databases
Google Cloud logoGoogle Cloud
69 min read
Backend•2026-03-18

Next-gen caching with Memorystore for Valkey 9.0, now GA

Google Cloud announces the general availability of Memorystore for Valkey 9.0, delivering major performance gains and new developer-facing features for high-throughput, low-latency workloads.

Databases