Financial Services

Real-Time Streaming for Financial Services

Detect fraud in milliseconds, compute intraday risk, and monitor transactions in real-time. RisingWave enables financial institutions to process market data, payment streams, and compliance events with SQL-based streaming and exactly-once guarantees.

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Sub-ms

Fraud Detection

Score transactions against patterns and anomaly models in real-time as payments stream in

Exactly-Once

Guarantees

No duplicate or missed transactions in risk calculations, compliance, or settlement

SQL

No Java Required

Write streaming pipelines in PostgreSQL-compatible SQL — no Flink or Spark needed

Live

Risk Monitoring

Compute intraday VaR, portfolio exposure, and margin requirements on live market data

The Challenge

Why do financial institutions need real-time stream processing?

Financial markets move in milliseconds, but most data infrastructure operates on batch cycles measured in hours or days. Fraud patterns evolve faster than nightly models can detect, risk exposure changes with every trade, and regulators demand audit trails that reflect current state. Batch processing creates dangerous blind spots in an industry where latency costs money.

→Fraudulent transactions clear before batch models flag them
→Intraday risk exposure goes unmonitored between batch runs
→Compliance reports lag behind actual transaction activity
→Market opportunities disappear before stale data updates
→Settlement anomalies compound when detected hours too late

The Solution

How does RisingWave solve critical financial data challenges?

RisingWave processes financial event streams with SQL — no Java or Scala required. It continuously evaluates materialized views on transaction data, market feeds, and compliance events, delivering fresh results with sub-100ms latency and exactly-once guarantees that financial workloads demand.

Sub-Second Fraud Scoring

Evaluate transaction patterns against rules and ML features in real-time as payments stream in.

Continuous Risk Aggregation

Compute portfolio exposure, VaR, and position limits on live market data with SQL materialized views.

Exactly-Once Guarantees

No duplicate or missed transactions. Critical for settlement, reconciliation, and regulatory reporting.

PostgreSQL Compatibility

Connect existing BI tools, JDBC drivers, and compliance dashboards directly. No new integrations needed.

Use Cases

What financial services use cases does RisingWave power?

RisingWave powers mission-critical financial workloads where latency and correctness directly impact revenue and compliance. From detecting fraudulent card-not-present transactions in real-time to computing intraday margin requirements, financial institutions rely on RisingWave for streaming analytics that batch systems cannot deliver.

✓

Fraud Detection

Score transactions against behavioral patterns, velocity checks, and anomaly models in real-time. Block suspicious activity before settlement.

✓

Risk Management

Compute intraday VaR, portfolio exposure, and margin requirements on live market data. React to risk threshold breaches instantly.

✓

Transaction Monitoring

Track payment flows, flag suspicious patterns, and generate real-time alerts for AML and KYC compliance workflows.

✓

Regulatory Compliance

Maintain continuous audit trails, compute regulatory metrics on live data, and generate real-time compliance reports for Basel III, MiFID II, and SOX.

Frequently Asked Questions

Can RisingWave detect fraud in real-time?

Does RisingWave support exactly-once semantics for financial data?

How does RisingWave handle market data streams?

Can RisingWave integrate with existing banking infrastructure?

Ready to stream financial data?

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