Real-world success with Spanner’s fully interoperable multi-model database | Endigest
Google Cloud
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This post explores real-world customer success stories using Google Cloud Spanner's multi-model database capabilities across four use cases.
- •Spanner supports relational, graph, vector, and full-text search models in a single unified database, eliminating ETL pipelines and data silos.
- •DANA uses Spanner Graph for anti-money-laundering at scale; Palo Alto Networks built an Access Graph for SaaS identity and security posture.
- •Verisoul replaced 10 independent services (Postgres, Cassandra, Neo4j) with Spanner to achieve real-time fake user detection at scale.
- •Target combined vector and graph search for personalized gift recommendations; True Digital consolidated fragmented search onto Spanner.
- •Inspira manages 75 million legal documents and 440 million vectors on Spanner, replacing a polyglot stack of Elasticsearch, BigQuery, and Cloud SQL.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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