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Storing cybersecurity data at scale with SurrealDB logo

Storing cybersecurity data at scale with SurrealDB

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.

IndustryTechnology
OutcomeTech stack simplification from three databases to one

01 |KEY CHALLENGES

What they needed to solve

The technical and operational hurdles the team faced before adopting SurrealDB.

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.

02 |SOLUTIONS

How SurrealDB helped

The architecture decisions and SurrealDB capabilities that addressed each challenge.

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.

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.

SamsungDATABASE

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.

VerizonDATABASE

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.

TencentDATABASE

Unified infrastructure monitoring

Tencent consolidated nine backend tools into one real-time monitoring platform powered by SurrealDB's multi-model context graph.

PolyAIDATABASE

High-performance customer service AI powered by RAG

PolyAI connects SurrealDB to Agent Studio for low-latency, customer-controlled RAG across voice AI experiences.

Saks Fifth AvenueDATABASE

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.

GET STARTED

Start building with SurrealDB

The unified data layer for AI. Unify data. Unlock intelligence. Scale anywhere.

SamsungNVIDIAAppleVerizonTencent

SOC 2 Type 2

GDPR

Cyber Essentials Plus

ISO 27001

SurrealDB

The unified data layer for AI

Graph, vector, document, and relational in one engine.
Agent Memory that connects and retrieves context wherever your data lives.

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Tutorials, AI agent recipes, and product updates, every two weeks.

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GDPR

Cyber Essentials Plus

ISO 27001

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