Real-Time Intelligence For Modern Markets
SingleStore powers trading and capital markets platforms with unified, real-time data performance - enabling instant execution insight, intraday risk visibility, and AI-driven decisioning at scale.
Trusted by leading financial institutions
Fragmented trade and risk systems slow reaction time
Trade capture, pricing, P&L, and risk aggregation often run on separate engines with batch synchronization. This creates latency between execution and visibility, reducing decision quality.
What’s needed:
A unified data foundation that serves transactional trade data and analytical risk views from the same live dataset without movement or delay.
End-of-day processes limit intraday control
Overnight aggregation for VaR, P&L, and liquidity reporting delays actionable insight and increases reliance on static buffers rather than dynamic controls.
What’s needed:
Continuous, intraday aggregation and recalculation across positions, instruments, and counterparties with consistent, real-time correctness.
High concurrency strains performance at peak volume
Open market hours, volatility spikes, and reporting cycles generate surges in concurrent queries from traders, quants, dashboards, and AI agents.
What’s needed:
Linear scalability with consistent millisecond performance under thousands of simultaneous transactional and analytical workloads.
AI pilots stall due to stale or siloed data
Models trained on historical snapshots often struggle to transition into production environments that require live context and governed data access.
What’s needed:
An AI-ready data platform where models and agents operate directly on live, ACID-compliant production data with full auditability.
Regulatory scrutiny demands complete traceability
Trade reconstruction, market surveillance, and reporting require consistent, queryable history across years of data without compromising operational performance.
What’s needed:
Long-term, cost-efficient data retention that remains instantly queryable alongside live trading data under unified governance controls.
Unified transactions and analytics
Run trade capture, execution analytics, and intraday risk aggregation on a single real-time database - eliminating data movement between operational and analytical systems.
Real-time ingest with live queryability
Market data, orders, fills, and position updates are ingested and immediately available for complex joins and calculations, supporting true intraday visibility.
High concurrency under volatile conditions
Thousands of traders, dashboards, APIs, and AI agents can query simultaneously without degrading execution performance or reporting latency.
ACID-compliant at distributed scale
Every trade, update, and recalculation maintains transactional correctness, enabling production-grade systems of record and decision.
AI-ready data foundation
Structured, semi-structured, and vector data coexist in one platform - allowing quantitative models, surveillance systems, and AI copilots to operate on live trading context.
Intraday P&L and risk aggregation
Trading desks require continuously updated P&L, Greeks, and VaR across strategies and instruments. Legacy overnight aggregation limits responsiveness during volatility. SingleStore enables live recalculation as trades execute - supporting faster hedging, tighter limits, and more confident capital deployment.
Real-time market surveillance
Surveillance teams must detect spoofing, layering, insider activity, and anomalous trading patterns as they occur. Batch review processes create enforcement lag. SingleStore supports continuous ingest and analytical evaluation across massive trade streams, enabling proactive compliance and faster investigation cycles.
Global position and liquidity visibility
Multi-asset, cross-border firms need consolidated views of positions, collateral, and liquidity exposure across prime brokers, custodians, and counterparties. Fragmented systems obscure real-time exposure. A unified engine provides instant visibility across regions and asset classes.
AI-assisted trading and decision support
Quantitative and discretionary traders increasingly rely on AI-driven signals, copilots, and scenario modeling. These tools must reason over live market data, historical trends, and current positions simultaneously. SingleStore enables complex queries and model integration without data synchronization delays.
Execution quality and transaction cost analysis
Execution teams monitor slippage, fill rates, and routing performance continuously. Delayed analysis limits optimization opportunities. With real-time ingest and analytics on the same dataset, firms can adjust routing strategies dynamically during live sessions.
Real-time wealth & trading insights
A Fortune 25 financial institution selected SingleStore to modernize its wealth and trading platforms after legacy systems could not deliver real-time performance at enterprise scale. By consolidating transactional, analytical, and emerging AI workloads into a single engine, the bank eliminated data movement between systems and enabled advisors and clients to interact with live portfolio data instantly — even during periods of intense market volatility.
Scale and performance
2+ petabytes of investment and trading data managed in production
40,000+ concurrent users supported with consistent responsiveness
10–20 millisecond query latency across live and historical data
- Ability to analyze 5× more data in real time without performance degradation
Faster decision cycles
Move from batch-informed decisions to continuous intraday intelligence - improving execution quality, risk response, and market agility.
Capital efficiency
Enable real-time exposure and liquidity monitoring to reduce unnecessary buffers and deploy capital more effectively.
Simplified architecture
Consolidate transactional, analytical, and AI workloads onto one unified platform, reducing integration complexity and operational overhead.
AI production readiness
Operationalize AI and agentic workflows directly on live trading data with governance and auditability built in.
Resilient scale
Support growth in data volume, concurrency, and model complexity without sacrificing performance or reliability.
Build A Real-Time Foundation For Modern Markets
Unify execution, risk, analytics, and AI on one performance engine built for trading at scale.