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Ververica

Real-Time Data for Retail That Moves at Customer Speed

Your customers act in milliseconds. Your data infrastructure should too. Ververica processes 6.9B records/sec so pricing, and personalization run at the speed of demand.

Key Reasons To choose Ververica

Why Ververica

Complexity kills margins.

Stores, apps, marketplaces, fulfillment centers. Each channel generates data in isolation. Decisions arrive late. Customers leave.

Personalization is a data problem.

Batch pipelines deliver recommendations hours after intent signals fire. By then, the cart is abandoned and the competitor has closed the sale.

Supply break without real-time.

Demand shifts in minutes. Legacy systems report in hours. The gap between those two numbers is lost revenue, dead stock, and empty shelves.

Retail runs on velocity. Batch processing does not.

Use Cases

Real-Time Inventory

Track stock across every warehouse, store, and fulfillment center in real time. Eliminate overselling. Eliminate stockouts. Every SKU accounted for, every second, across every channel.

Dynamic Pricing

Adjust prices based on demand signals, competitor data, and inventory levels as they change. Not hourly. Not daily. Now. Protect margins and move product at the right price point.

Customer Personalization

Act on clickstream, purchase history, and behavioral data the moment it arrives. Deliver product recommendations, offers, and content that match current intent, not yesterday's activity.

Supply Chain Optimization

Process signals from suppliers, logistics partners, and weather systems in a single stream. Detect delays before they cascade. Reroute shipments before shelves go empty.

Fraud Prevention

Score every transaction in real time against behavioral patterns and known fraud signals. Flag anomalies in sub-10ms. Block fraudulent orders before fulfillment begins.

Demand Forecasting

Combine real-time sales data with external signals to generate demand predictions that update continuously. Feed purchasing, staffing, and logistics systems with forecasts that reflect current conditions.

Performance at Retail Scale

6.9B Records/Sec

VERA engine throughput. Benchmarked at enterprise scale. Every click, transaction, and inventory update processed.

Sub-10ms Latency

From event ingestion to action. Pricing updates, fraud scores, and personalization signals delivered before the page loads.

2x Faster

Double the throughput of standard Apache Flink. Same workloads. Half the compute.

40% Lower TCO

Measured total cost of ownership reduction across compute, operations, and infrastructure. Fewer servers. Same results.

Frequently Asked Questions

01
How does stream processing differ from batch processing for retail?

Batch processing collects data and runs it on a schedule, typically hourly or daily. Stream processing acts on each event as it arrives. For retail, this means pricing, inventory, and personalization update continuously instead of operating on stale snapshots.

02
Can Ververica process data from all retail channels in one pipeline?

Yes. Ververica ingests data from POS systems, e-commerce platforms, mobile apps, marketplaces, and IoT sensors simultaneously. All channels feed into a unified streaming pipeline with sub-10ms processing latency.

03
What scale of retail operations can the platform support?

VERA engine processes 6.9B records per second. That covers transaction volumes, clickstream data, and inventory events for retailers operating thousands of stores and millions of daily online sessions without performance degradation.

04
How does Ververica integrate with existing retail technology stacks?

The platform connects to Kafka, databases via CDC, REST APIs, cloud storage, and data lakes out of the box. Pre-built connectors cover major retail platforms. No custom integration code required for standard sources and sinks.

05
Is Ververica compliant with data privacy regulations for retail?

Ververica is SOC 2 Type II certified, ISO 27001 certified, and GDPR compliant. BYOC deployment keeps all customer data within your own cloud environment. No data leaves your infrastructure unless you route it there.

Every Millisecond of Latency
Costs a Sale

Your competitors are already processing data in real-time. The infrastructure exists. The proof is in production.

Stream Processing for Retail — Ververica | Ververica