Spanner stories
Google Cloud Spanner debuts, promising revolutionary consistency and scalability for database management in cloud architectures.
Developers can now keep multi-step updates together as Spanner drops the cumulative DML cap, though the 80,000 limit still applies per statement.
Automated code generation cut months from Google's finance migration, helping engineers keep legacy systems and Spanner in lockstep without downtime.
The serverless catalog could ease a bottleneck for large Spark workloads by moving Hive table metadata without copying underlying data.
Database teams could cut setup and fault-finding time as Google folds natural-language guidance into Cloud SQL, Spanner and AlloyDB tools.
Banks and insurers could cut migration risk as Google Cloud's new AI suite maps legacy logic, tests parity and shifts data incrementally.
The upgrade lets analysts query more than 400 billion public data points directly in a single graph, easing joins with private data.
Businesses can now query governed data across cloud systems in plain language, as Google Cloud opens its conversational analytics tools more widely.
Most enterprises will need costly infrastructure changes before agentic AI can move from pilots to production, Google Cloud research says.
Downtime risk is lower for apps running across multiple regions, as traffic can now shift to a healthy Cloud Run region within seconds.
The new tools could let firms’ AI agents act on live data more securely across clouds, while cutting rebooking from hours to minutes.
Google Cloud has unveiled significant enhancements to its database services, integrating AI features to streamline developer experiences and improve data management.
Access to Google Cloud’s newest Blackwell hardware should speed training for Thinking Machines Lab as AI rivals battle for scarce compute.