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Google Cloud introduces a unified graph database and analytics solution combining Spanner Graph for operational workloads and BigQuery Graph for analytical workloads, eliminating data silos and enabling real-time and large-scale analysis.
•Spanner Graph provides table-to-graph mapping, interoperable GQL and SQL querying, built-in vector search and Vertex AI integration for high-throughput applications like fraud detection, identity resolution, and customer 360
•BigQuery Graph maps existing BigQuery tables to graphs without ETL or data movement, supporting pattern matching with GQL and native AI integration for analyzing billions of records
•Both platforms share unified graph schema and GQL language, reducing development time and enabling seamless context switching between operational and analytical queries
•Data Boost allows querying Spanner data directly from BigQuery without impacting transactional performance, while reverse ETL enables importing analytical results back to Spanne
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
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