Use Cases
What can you build with RisingWave?
A PostgreSQL-compatible streaming database that handles real-time ingestion, incremental computation, and serving in a single system. Teams build dashboards, AI infrastructure, fraud detection, and streaming pipelines — all in standard SQL.
Trusted by 1,000+ Data-Driven Organizations
for Real-time Analytics
By Problem
Real-time use cases
From dashboards to ML pipelines — teams use RisingWave to eliminate batch lag and build systems that respond to data as it arrives.
Connect Kafka to Grafana, Metabase, or any BI tool with sub-second freshness. No Spark, no Flink, no custom consumers.
Evaluate alert conditions continuously over event streams. Detect anomalies and trigger notifications within milliseconds.
Update preference scores and item affinity signals from clickstream in real time. Recommendations that reflect the current session, not yesterday's batch.
Compute and serve ML features from streaming data in SQL. Sub-second freshness, PostgreSQL serving interface, no separate infrastructure.
Evaluate transaction velocity, behavioral signals, and risk patterns at card-swipe latency. Catch fraud as it happens, not hours later.
Replace batch ETL with continuous SQL pipelines. Ingest change data capture streams and keep downstream tables always fresh.
Continuously ingest Kafka and CDC streams into Apache Iceberg tables with automatic compaction and schema management.
Process high-throughput device and sensor data in real time. Aggregate metrics, detect anomalies, and feed insights into monitoring systems.
AI & LLM
AI agent infrastructure
AI agents need fresh, consistent data. RisingWave connects to Kafka, databases, and APIs — continuously updating materialized views that agents query via standard SQL.
Serve fresh, consistent data to AI agents with sub-second latency via continuously updated materialized views.
Connect Model Context Protocol tools to always-fresh streaming data. Agents read current state, not stale snapshots.
Keep LLM prompts grounded in live operational data. Streaming materialized views replace expensive real-time lookups.
Keep retrieval-augmented generation indexes current with continuously updated embeddings as source data changes.
Pre-compute answers so AI agents read results instantly — no expensive ad-hoc joins at query time.
Power multi-step agents with low-latency access to streaming data via a standard PostgreSQL interface.
By Industry
Industry solutions
RisingWave is deployed across financial services, e-commerce, adtech, energy, and more — wherever real-time data creates measurable business value.
Real-time risk analysis, trade surveillance, and pricing analytics.
Fraud detection, compliance monitoring, and portfolio risk scoring.
Recommendations, inventory sync, dynamic pricing, and cart abandonment prevention.
Aggregate impressions, optimize bidding, and detect ad fraud with millisecond-fresh data.
Grid monitoring, demand forecasting, anomaly detection, and resource optimization.
Production monitoring, predictive maintenance, OEE tracking, and quality control.
Patient monitoring, clinical analytics, claims processing, and operational dashboards.
Shipment tracking, route optimization, delivery ETA prediction, and supply chain visibility.
In-play odds computation, risk management, and bet settlement with sub-second event processing.
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Who builds on RisingWave
Global enterprises and high-growth companies run RisingWave in production — from consumer goods and fintech to e-commerce and capital markets.
Start building in minutes
Open source and free to start. Deploy on your infrastructure or try RisingWave Cloud — no credit card required.
