SurrealDB is built for the future of financial intelligence

SurrealDB brings together the features of multiple systems - relational, graph, time-series, vector - into a single, unified, AI-ready database platform. It combines enterprise-grade performance, flexible data modelling, and AI-native features to meet the complex demands of today’s financial services companies. Whether you’re building fraud detection systems, trading platforms, or real-time compliance solutions, SurrealDB delivers the power and precision you need - all in one database.

Built-in security for financial services

Built in Rust for memory safety

SurrealDB is built in Rust - a strongly-typed language designed with memory safety and thread safety at its core. This provides inherent security advantages that less strict programming languages can’t provide, making it ideal for regulated industries like finance.

Data integrity and system reliability

Where data integrity and system reliability are non-negotiable, SurrealDB’s Rust foundation ensures the highest levels of security and performance for financial applications.

AI-native capabilities for next-gen fintech

SurrealDB integrates vector search and knowledge graph capabilities to power intelligent applications including conversational finance assistants, predictive analytics, intelligent portfolio recommendations, and semantic search.

Unified database platform

SurrealDB brings together the features of multiple systems - relational, graph, time-series, vector - into a single, unified, AI-ready database platform that combines enterprise-grade performance with flexible data modelling.

Core use cases for financial services

Use case	Description
Fraud detection and AML	Use graph data modelling to detect suspicious patterns, anomalous transactions, and hidden connections across entities for KYC link analysis, identity fraud detection, and money laundering pattern detection.
Market data and risk analysis	Support time-series data for tick-by-tick market feed ingestion, historical performance tracking, portfolio risk metrics, Value-at-Risk (VaR) calculations, and algorithmic trading strategy backtesting.
Audit and compliance	Built-in historical querying and time travel with SurrealKV allows querying previous states of data for audits, meeting regulatory requirements, and analyzing how data evolved across time for governance.
Generative AI for finance	Enable applications that reason across financial knowledge using vector embeddings, structured data, and semantic relationships for AI-powered financial advisors and automated customer service.
Real-time trading platforms	Power mobile banking apps, trading dashboards, and compliance alerts with a single operational data layer for real-time financial operations.
Document processing	Generative document processing for contracts, reports, filings, and automated customer service chatbots integrated with account data.

Why decision makers choose SurrealDB

Horizontal scalability

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

Adaptable schema

Start with schemaless database, then move to more concretely defined items to easily adapt to evolving financial products, customer attributes, and regulatory fields.

Real-time capabilities

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

Regulatory compliance

Meet regulatory requirements without additional infrastructure through built-in historical querying and audit capabilities.

AI-native features

Built-in vector search and knowledge graph capabilities enable next-generation fintech applications with intelligent insights and automation.

Built for the future of financial intelligence

Whether you’re building fraud detection systems, trading platforms, or real-time compliance solutions, SurrealDB delivers the power and precision you need - all in one database. It combines enterprise-grade performance, flexible data modelling, and AI-native features to meet the complex demands of today’s financial services companies.