Real-Time Performance For Connected Operations
Run pricing, supply chains, and production on live data - so every decision reflects current demand, inventory, and operational reality.
Trusted by connected industry leaders
Omnichannel retail, global logistics networks, and connected factories generate constant streams of events, from customer clicks to sensor telemetry. When data is processed in batches, pricing, routing, and production decisions lag behind reality, eroding margin and service levels.
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.
Data freshness gaps affect decisions
Batch updates between operational systems and analytics platforms create delays. Pricing engines, route optimizers, and production planners act on outdated signals, reducing margin, increasing stockouts, and limiting responsiveness to disruption.
What’s needed:
A unified database that makes operational data instantly available for analytics and AI without pipeline-induced delay.
Concurrency bottlenecks stall peak operations
Promotions, seasonal spikes, and logistics surges drive thousands of simultaneous queries across apps, dashboards, and APIs. Systems tuned for isolated workloads degrade under pressure, impacting customer experience and fulfilment speed.
What’s needed:
High-concurrency performance that sustains consistent response times across applications, users, and AI agents.
Separate engines increase complexity and cost
Running distinct systems for transactions, analytics, IoT, and AI multiplies data copies, governance overhead, and failure points. Integration work consumes teams that should be focused on optimization and innovation.
What’s needed:
A single engine capable of serving operational and analytical workloads together, eliminating unnecessary data movement.
Production halts AI initiatives
Proofs of concept built on sampled or replicated datasets fail to scale when exposed to live traffic and operational constraints. Performance gaps prevent models from influencing real-time decisions.
What’s needed:
An AI-ready data foundation that supports live model scoring and agent-driven workflows directly on current production data.
Scaling creates governance challenges
As data volumes expand across channels and geographies, ensuring accuracy, auditability, and access control becomes more complex. Disconnected systems make it difficult to maintain a consistent source of truth.
What’s needed:
Strong transactional integrity and unified governance across high-volume, distributed workloads.
Unified transaction and analytics
SingleStore brings operational transactions and large-scale analytics together in one real-time engine, enabling pricing, routing, and production insights directly on live data without system fragmentation.
Fast ingest with instant queryability
Continuous streams - from eCommerce events to IoT sensors - are available for analysis the moment they arrive, supporting dynamic decisions without waiting for batch pipelines.
High concurrency at scale
Thousands of users, dashboards, APIs, and automated agents can access the same data simultaneously while maintaining consistent performance during peak retail seasons or logistics surges.
ACID-compliant for mission-critical workloads
Full transactional guarantees ensure inventory, orders, shipments, and production records remain consistent and reliable - even under distributed, high-volume conditions.
AI-ready foundation
Vector, relational, and time-series data coexist in one platform, enabling predictive maintenance, demand forecasting, and agentic workflows to operate on live, governed data.
Dynamic pricing optimization
Retailers and manufacturers adjust pricing based on demand signals, inventory levels, competitor activity, and regional performance. Traditional batch systems limit how frequently prices can change. With real-time analytics on live transactional data, organizations continuously refine pricing, protecting margin while responding instantly to shifts in demand.
Real-time inventory visibility
Distributed warehouses and stores generate constant updates on stock movement and fulfillment status. When inventory data is delayed or fragmented, stockouts and overstocks increase. A unified, real-time view enables accurate availability, faster replenishment decisions, and improved customer satisfaction across channels.
Logistics routing and SLA optimization
Global logistics networks must respond instantly to traffic, weather, labor, and order changes. Static route plans quickly become obsolete. By analyzing live telemetry and order data together, organizations dynamically reroute shipments, improve on-time delivery, and reduce fuel and operational costs.
Predictive maintenance in manufacturing
Connected equipment streams telemetry from machines, sensors, and production lines. When analyzed in isolation or after the fact, anomalies are detected too late. Real-time analytics on streaming sensor data enable early detection of performance degradation, reducing unplanned downtime and protecting yield.
Operational control tower dashboards
Executives and operators need unified views of orders, shipments, production output, and financial impact. Batch-driven reporting limits situational awareness. Real-time dashboards built directly on operational data provide a continuous pulse of the business, supporting faster cross-functional coordination.
Modernizing inventory operations
One of the world’s largest retailers needed a data platform that could keep up with the scale and speed of its inventory operations. They selected SingleStore to replace legacy systems and enable real-time, enterprise-wide visibility.
Key Impact
3.5 billion rows ingested in ~7 minutes
~156× faster processing compared to legacy systems
~$950 million annual labor cost savings
~$50 million additional annual revenue from improved inventory accuracy
~68× improvement in recovery point objective (RPO)
“SingleStore’s performance and scalability completely transformed our inventory forecasting and operational data workflows.” - Senior IT Leader, Top 10 Retailer
Real-time maritime intelligence
Windward powers global maritime intelligence on massive, constantly evolving datasets. As complexity and scale outgrew their legacy platform, they chose SingleStore to deliver fast, reliable analytics across billions of data points in real time.
Key impact
Sub-second performance for complex geospatial queries
Tens of billions of data points analyzed at scale
Successful migration after evaluating ~30 alternative solutions
Unified support for analytical, textual, and geospatial workloads
Faster decisions
Operational data becomes instantly actionable, enabling leadership to adjust pricing, reroute shipments, and rebalance production in response to live signals rather than historical reports.
Margin protection
Real-time visibility into demand, inventory, and performance reduces stockouts, excess inventory, penalties, and downtime - directly protecting revenue and profitability.
Architectural simplification
Consolidating transactional and analytical workloads reduces system sprawl, lowers integration overhead, and improves governance across global operations.
AI-ready operations
With live, unified data as a foundation, organizations can safely scale predictive models and agent-driven workflows that continuously optimize supply chains and production environments.
Transform Retail, Logistics, And Manufacturing With Real-Time Intelligence
Unify transactions and analytics to power pricing, supply chains, and production on live data.