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GOOGLE CLOUD SPANNER
Globally consistent relational database at unlimited scale
ABOUT
AI platforms outgrow a single-region relational database when feature stores, user state, and experiment metadata must stay strongly consistent across continents. Spanner provides external consistency and horizontal scale with standard SQL, so teams can keep transactional AI application data, feature tables, and serving state in one database without sharding MySQL or sacrificing consistency for geographic scale.
INSTALL
pip install google-cloud-spannerINTEGRATION GUIDE
1. Store feature tables and user state with strong consistency across multiple regions
2. Back AI application backends that need SQL transactions at global scale
3. Keep experiment assignments, model metadata, and billing records in one relational store
4. Serve low-latency reads of operational AI data without managing custom sharding
TAGS
relational-databasesqlgoogle-cloudglobally-distributedoltpscalable