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Goldman SachsdailyVest

Real-time expectations in a volatile market

Clients now expect live visibility into their entire financial world, and anything less than real-time insight erodes trust and engagement. Rapid market movements only raise the stakes, demanding systems that recalculate positions, exposures, and risk in milliseconds—not minutes or hours.

Unified data and operational truth for AI

Advisors can’t deliver modern guidance when critical account, household, and market data is trapped in fragmented systems or delayed by batch updates. To unlock reliable AI-powered recommendations, alerts, and copilots, wealth managers need a single, consistent source of operational truth—not inconsistent, stale, or incomplete datasets.

Why traditional architectures break under real-time wealth requirements and what's needed

Batch ingest slows portfolio updates

Overnight or scheduled loads create stale data, missing trades, and inaccurate allocations during client reviews or market events.

 

What's needed: 

Continuous, real-time ingest and high-throughput bulk ingestion to ensure all market, transactional, and position data remains current and complete.


High concurrency causes application slowdowns

Legacy databases struggle when thousands of advisors and investors access dashboards simultaneously - especially during volatile market conditions.

 

What's needed: 

Support for high-concurrency transactional and analytical workloads without performance degradation.


Fragmented systems introduce operational risk

Account, portfolio, pricing, and market data often live in separate stores, leading to latency, inconsistency and governance challenges.

 

What's needed: 

A unified distributed database capable of handling transactions, analytics, and AI workloads at scale within a single architecture.


Analytics lock out live workloads

Batch ETL, reporting jobs, or warehouse refreshes frequently block real-time queries, reducing reliability and user satisfaction.

 

What's needed: 

High-performance analytics that operate simultaneously with live transactional workloads, without requiring data movement or system isolation.


AI models operate on stale or partial data

When AI is trained or grounded on delayed datasets, recommendations become inaccurate and trust erodes quickly.

 

What's needed: 

Support for ACID-compliant transactions, real-time data availability, and unified access layers to ensure AI models operate on reliable, current information.


The performance engine for real-time wealth experiences

Unified real-time engine

One system for ingesting, updating, analysing, and retrieving data - no ETL delays or stale copies.

Extreme concurrency

Support tens of thousands of users and workloads simultaneously with predictable millisecond performance.

Streaming + bulk ingest

Power both high-volume batch feeds and continuous streaming of market, pricing, and transaction data.

AI-ready architecture

Vector search, RAG, and copilots operate directly on live operational data for accurate, reliable recommendations.

Query hot, warm & cold data

Access recent trades, historical portfolios, and long-term data in real time - even across 20+ years of history.

What you can build with SingleStore

Real-time portfolio dashboards

Real-time portfolio dashboards

Deliver sub-second portfolio insights across holdings, allocations, alternatives, cash, and risk. Replace batch-based pipelines with a unified real-time foundation.
Live risk, exposure & allocation models

Live risk, exposure & allocation models

Recalculate exposures, sensitivities, and performance contributions instantly - enabling better decisions during fast-moving markets.
AI-powered personalised engagement

AI-powered personalised engagement

Enable advisor copilots and personalised client insights with a live context layer that keeps AI grounded in operational truth.
Advisor & investor portals

Advisor & investor portals

Support thousands of concurrent users with consistent 10–20 ms performance during peak market volatility.
Market event–driven alerts & notifications

Market event–driven alerts & notifications

Trigger real-time alerts for significant events, threshold breaks, or changes in household positions.
Unified household / client 360

Unified household / client 360

Consolidate positions, accounts, behaviors, and interactions into one view - unlocking deeper insight and more effective guidance.

Case study

Real world outcomes

Fortune 25 Financial Services Giant

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

Strategic advantages for your industry

Operational efficiency

Consolidate multiple databases, warehouses, caches, and point tools into a single real-time engine. Reduce operational complexity, integration effort, and the cost of maintaining fragmented architectures.

Client experience differentiation

Deliver live, responsive digital experiences with instant portfolio updates, proactive alerts, and personalised insights. Turn data latency into a competitive advantage for premium and mass-affluent segments.

Risk and compliance confidence

Maintain accurate, up-to-date exposures, positions, and household relationships in a single operational truth. Support risk, compliance, and regulatory reporting with consistent, real-time data.

AI-driven growth

Use a live, unified data foundation to power AI copilots, recommendations, and analytics that drive higher wallet share, retention, and cross-sell opportunities.
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