01 |KEY CHALLENGES
What they needed to solve
The technical and operational hurdles the team faced before adopting SurrealDB.
02 |SOLUTIONS
How SurrealDB helped
The architecture decisions and SurrealDB capabilities that addressed each challenge.
03 |RESULTS
The impact
Measurable outcomes delivered after moving to SurrealDB.
4 1
Cost & complexity savings
DynamoDB, Neptune, Lambda, and Elasticsearch consolidated into a single platform.
↑ SPEED
Ultra-fast performance
Backup manifest creation dropped to millisecond execution.
↑ UPTIME
Resilient architecture
Delivered consistent availability with fault-tolerant deployments.
↑ VISIBILITY
Built-in insight
Roll-up tables unlocked real-time observability into usage and costs.
MORE CASE STUDIES
See what other teams have shipped
From knowledge graphs to AI assistants - how enterprise teams are building on SurrealDB.
Unlocking insights with knowledge graphs
Samsung Ads uses SurrealDB to build dynamic, real-time knowledge graphs for smarter campaign execution - collapsing three legacy data stores into one.
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AI assistant empowering 10,000 technicians
Verizon uses SurrealDB to power a generative AI assistant for 10,000 field technicians, delivering instant access to documentation, outage updates, and workflows.
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Unified infrastructure monitoring
Tencent consolidated nine backend tools into one real-time monitoring platform powered by SurrealDB's multi-model context graph.
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High-performance customer service AI powered by RAG
PolyAI connects SurrealDB to Agent Studio for low-latency, customer-controlled RAG across voice AI experiences.
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AI-powered personalisation at massive scale
Saks Fifth Avenue uses SurrealDB's vector search and graph capabilities to deliver real-time, AI-powered personalisation across 5 million luxury customers and 45 million monthly product-recommendation queries.
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The unified data layer for AI. Unify data. Unlock intelligence. Scale anywhere.
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