Built for financial intelligence

Q: How does SurrealDB support real-time fraud detection?

SurrealDB's native graph traversals let you analyse transaction networks in real time, detecting multi-hop patterns like circular transfers, velocity anomalies, and coordinated account behaviour. Live queries push alerts to fraud analysts as suspicious activity occurs.

Q: Is SurrealDB suitable for regulatory compliance in finance?

Yes. SurrealDB provides fine-grained access control at the field level, encryption at rest and in transit, and versioned temporal tables for historical queries. These capabilities support audit trails, data lineage, and regulatory reporting requirements.

Q: Can SurrealDB handle high-frequency financial data?

Yes. Built in Rust for low-latency, high-throughput workloads, SurrealDB handles continuous streams of market data, transaction events, and risk calculations with consistent performance under load.

Q: How does SurrealDB model complex financial relationships?

SurrealDB's graph capabilities model entity relationships - accounts, counterparties, instruments, and beneficial owners - as first-class edges. You can traverse ownership chains, detect hidden connections, and perform KYC network analysis in a single query.

Q: Can SurrealDB power AI-driven financial advisors?

Yes. SurrealDB's vector search and graph traversals provide the retrieval layer for AI advisors. Store document embeddings for research reports, regulations, and client communications, then combine semantic search with structured portfolio data in a single query.

Enterprise-grade performance, flexible data modelling, and AI-native features for fraud detection, trading platforms, and real-time compliance - all in one database.

CAPABILITIES

Built-in security for financial services

Built in Rust for memory safety

Rust's memory safety and thread safety provide inherent security advantages, making it ideal for regulated industries like finance.

Data integrity and system reliability

SurrealDB's Rust foundation ensures the highest levels of security and performance for financial applications where reliability is non-negotiable.

AI-native capabilities for next-gen fintech

Integrated vector search and knowledge graph capabilities power conversational finance assistants, predictive analytics, and intelligent portfolio recommendations.

Unified database platform

Relational, graph, time-series, and vector capabilities in a single AI-ready platform with enterprise-grade performance and flexible data modelling.

SEE IT IN ACTION

Detect fraud with graph traversal

Use SurrealQL to traverse transaction graphs and uncover suspicious patterns across entities in a single query.

1-- Find accounts connected to a flagged entity
2-- through 2+ hops of transactions
3SELECT
4    ->(transferred WHERE risk_score > 0.8)->account AS recipients,
5    @.{2}->(transferred WHERE risk_score > 0.8)->account AS second_hop
6FROM account:flagged_001;

USE CASES

Core use cases for financial services

Fraud detection and AML

Graph data modelling to detect suspicious patterns, anomalous transactions, and hidden connections for KYC link analysis and identity fraud detection.

Market data and risk analysis

Time-series data for tick-by-tick market feeds, historical performance tracking, portfolio risk metrics, and algorithmic trading strategy backtesting.

Audit and compliance

Historical and time travel querying for auditing previous data states, meeting regulatory requirements, and governance.

Generative AI for finance

Applications that reason across financial knowledge using vector embeddings, structured data, and semantic relationships.

Real-time trading platforms

Power mobile banking apps, trading dashboards, and compliance alerts with a single operational data layer.

Document processing

Generative document processing for contracts, reports, filings, and automated customer service chatbots.

TRUSTED BY

Powering innovation across industries

Unlocking insights with knowledge graphs

Samsung uses SurrealDB to power knowledge graphs for real-time audience insights and ad targeting in its ad division.

Learn more

Unified infrastructure monitoring

Tencent uses SurrealDB to consolidate nine backend tools into one real-time monitoring platform.

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WHY SURREALDB

Why decision makers choose SurrealDB

Horizontal scalability

Scale effortlessly as your customer base and transaction volume grow - no complex sharding required.

Adaptable schema

Start schemaless, then add structure as needed to adapt to evolving financial products and regulatory fields.

Real-time capabilities

Power trading dashboards and compliance alerts with a single operational data layer for immediate financial intelligence.

Regulatory compliance

Built-in historical querying and audit capabilities meet regulatory requirements without additional infrastructure.

AI-native features

Built-in vector search and knowledge graph capabilities enable next-generation fintech applications.

How does SurrealDB support real-time fraud detection?

Is SurrealDB suitable for regulatory compliance in finance?

Can SurrealDB handle high-frequency financial data?

How does SurrealDB model complex financial relationships?

Can SurrealDB power AI-driven financial advisors?

GET STARTED

Start building with SurrealDB

The multi-model database for AI agents. Unify data. Unlock intelligence. Scale anywhere.

CONTEXT

MEMORY

STORAGE

CLIENT LIBRARIES

TOOLS

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