Real-Time Intelligence For Asset Managers
SingleStore enables asset managers to unify portfolio, risk, trading, and investor data in real time to power faster decisions, deeper insight, and AI-assisted operations.
Trusted by financial leaders
Intraday volatility, global liquidity fragmentation, and 24/7 digital assets have compressed decision windows. Batch-based portfolio analytics and overnight risk aggregation no longer match the speed of market formation, creating blind spots between exposure and insight.
Machine learning and generative AI are now embedded in portfolio construction, signal generation, compliance review, and investor servicing. Models require live, relational context across positions, pricing, and entitlements - stale copies reduce accuracy and increase risk.
Siloed portfolio and risk data delays decisions
Fragmented systems for trading, accounting, performance, and risk require constant reconciliation. Exposure views lag underlying positions, limiting intraday action and increasing operational overhead.
What’s needed:
A unified data foundation where transactions and analytics operate on the same live portfolio and pricing data without replication.
Batch risk aggregation constrains agility
Overnight VaR, liquidity, and scenario calculations limit responsiveness during volatile markets, leaving portfolio managers without current exposure insight.
What’s needed:
Continuous ingestion and real-time analytical processing capable of recalculating complex risk metrics on live data at scale.
Concurrency breaks under peak demand
Month-end reporting, earnings events, and volatile trading sessions create spikes in user and system queries, degrading performance when insight is most critical.
What’s needed:
High-concurrency performance that sustains thousands of simultaneous analytical and operational workloads without latency cliffs.
AI models operate on delayed context
Signals, recommendations, and compliance checks often rely on delayed snapshots exported to separate environments, reducing precision and governance control.
What’s needed:
An AI-ready data platform that keeps models attached to live, governed, relational context across structured and vector data.
Complex architectures increase cost and risk
Multiple databases, warehouses, caches, and pipelines increase reconciliation effort, compliance complexity, and infrastructure spend.
What’s needed:
A simplified architecture that consolidates operational and analytical workloads into one resilient, governed, scalable system.
Unified transactions and analytics
Process trades, positions, cash movements, and complex analytical queries in one database, enabling intraday portfolio and risk insight without data movement.
Real-time ingest and processing
Streaming market data, pricing feeds, and trade events become immediately queryable, supporting continuous exposure and performance monitoring.
High-concurrency performance at scale
Portfolio managers, quants, risk teams, and AI agents can access the same live dataset simultaneously without performance degradation.
ACID compliance for financial integrity
Transactional guarantees ensure trades, allocations, and updates remain consistent and auditable across distributed environments.
AI-ready data foundation
Structured, semi-structured, and vector data coexist in a single system, allowing quantitative models and AI copilots to reason on live portfolio context.
Portfolio managers require current exposure across asset classes, strategies, and geographies. Traditional overnight aggregation delays insight during volatile markets. With unified, real-time data, firms continuously recalculate VaR, liquidity, and concentration metrics, enabling proactive risk management and faster tactical adjustments.
Performance teams must reconcile positions, benchmarks, and pricing data across multiple systems. Batch processes delay investor reporting and internal review. A unified real-time foundation enables continuous performance calculation and drill-down attribution across public and private assets without reconciliation overhead.
Quant teams rely on combining market data, alternative data, and historical positions. Moving data between systems slows experimentation and production deployment. Real-time access to unified data enables faster backtesting, live signal evaluation, and AI-assisted research grounded in current portfolio context.
Investor servicing teams require unified visibility across commitments, exposures, distributions, and communications. Fragmented data limits responsiveness and personalization. A real-time platform enables consolidated client dashboards and AI-assisted engagement based on live portfolio and transaction data.
Firms must demonstrate exposure limits, ESG adherence, and liquidity positions under increasing scrutiny. Manual reconciliation across systems increases operational risk. A governed, auditable real-time data layer enables instant reporting and defensible regulatory responses.
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 investment decisions
Live exposure and performance insight reduce the time between market movement and portfolio action, protecting alpha and limiting downside risk.
Operational simplification
Consolidating transactional and analytical workloads reduces system sprawl, reconciliation effort, and infrastructure overhead.
Scalable growth
Support new funds, strategies, and digital asset classes without re-architecting the data foundation as volume and complexity expand.
AI-ready platform
Embed AI directly into portfolio construction, compliance monitoring, and investor engagement with confidence in live, governed data.
Strengthened governance
Maintain auditable, consistent financial records while meeting evolving regulatory and ESG reporting requirements.
Build The Real-Time Data Foundation For Modern Asset Management
See how unified, real-time performance enables faster portfolio decisions, scalable growth, and AI-ready operations.