Storing cybersecurity data at scale with SurrealDB
Industry:
Technology
Outcome:
Tech stack simplification from three databases to one
Calamu Technologies replaced a fragmented stack of DynamoDB, Neptune, Lambda, and Elasticsearch with SurrealDB, unifying access control, metadata, and telemetry for a distributed storage platform.
Key challenges
Fragmented architecture
A patchwork of services was expensive, slow, and difficult to manage.
Index overload
High-volume metadata patterns overloaded compound indexes and caused drift.
Millisecond response times
Critical workflows required consistent millisecond-scale lookups.
Deployment flexibility
Needed an embeddable database for on-prem and cloud with consistent access.
Solutions
Unified multi-model architecture
Replaced multiple databases with one ACID-compliant engine for document and graph.
Flexible embedded deployment
Lightweight design enabled the same database in cloud and self-hosted environments.
High performance at scale
Delivered millisecond query latency over billions of records using range queries.
Operational efficiency
Roll-up tables and async inserts lowered infrastructure cost and sped delivery.
Results
Cost & complexity savings
↓ COST
Consolidation reduced infrastructure sprawl and spend.
Ultra-fast performance
↑ SPEED
Backup manifest creation dropped to millisecond execution.
Resilient architecture
↑ UPTIME
Delivered consistent availability with fault-tolerant deployments.
Built-in insight
↑ VISIBILITY
Roll-up tables unlocked real-time observability into usage and costs.
