SOCRadar, a cybersecurity threat intelligence company, migrated from self-managed PostgreSQL to Google Cloud's AlloyDB to overcome data bottlenecks caused by simultaneous high-velocity ingestion and real-time analytical queries. The migration delivered a 20x performance boost for analytical queries via AlloyDB's In-Memory Columnar Engine, 3.2x faster live data ingestion, and freed up 75% of DBA time by eliminating manual tuning. Storage costs dropped significantly after reclaiming 45 TB of legacy data. SOCRadar also integrated Gemini Enterprise Agent Platform to reduce alert fatigue by automatically filtering and routing security alarms. Future plans include agentic AI workloads with natural language querying, semantic similarity search, and automated incident summarization.

6m read timeFrom cloud.google.com
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How SOCRadar supercharges rapid threat detection with AlloyDBEvaluating database alternatives: The hunt for scalabilityTaming a "triple-threat" workloadMore than just speed: Reclaiming 45 TB and 75% of DBA timeFighting alert fatigue with integrated Gemini Enterprise Agent PlatformExpanding capabilities: The future of agentic threat hunting
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