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The Streaming-First
Data Platform for

Monitoring and Alerting
Trading and Payment
IoT and Telemetry
Real-Time Data Enrichment
Lakehouse Ingestion
Fraud Detection
Monitoring and Alerting

Ingest millions of events per second. Continuously join and analyze live streams with historical tables. Serve highly concurrent queries at low latency. Manage data in managed Apache Iceberg™ tables. All with Postgres-style SQL.

Try Now
Download open-source RisingWave
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RisingWave Open Lake: Managed Apache Iceberg™ Tables, Built Truly for Everyone
Built by the core Apache Iceberg Rust contributors, RisingWave Open Lake offers catalog hosting, batch and streaming ingestion, automatic compaction, and incremental materialized views. Seamlessly works with every query engine and supports ad-hoc analytics anywhere.

Trusted by 1,000+ Data-Driven Organizations

to harness continuous insights from both live and historical data.

Trusted by 1,000+ Data-Driven Organizations to harness continuous insights from both live and historical data.
SIEMENS
Robinhood
Tencent
Henkel
KAITO
OpenSea
PepsiCo
Laerdal
Thumbtack
neuron
Metabit Trading
CVTE
SIEMENS
Robinhood
Tencent
Henkel
KAITO
OpenSea
PepsiCo
Laerdal
Thumbtack
neuron
Metabit Trading
CVTE

What is RisingWave

One-Stop Platform for Real-Time Operational Data

Built in Rust, RisingWave combines sub-100 ms real-time data processing with built-in Apache Iceberg integration. It continuously ingests data from databases, message queues, and IoT devices, transforms and enriches it in motion, and materializes results for instant serving. From monitoring and alerting to telemetry, data enrichment, and continuous Iceberg ingestion, RisingWave unifies streaming and lakehouse worlds into a single, consistent platform.

The modern backbone for real-time data and AI

Sub-second freshness. Guaranteed consistency. Blazing-fast performance.

Monitoring and Alerting
Monitoring and Alerting

Continuously monitor real-time event streams to detect anomalies or policy breaches within seconds, and trigger instant alerts through any integrated notification service.

Real-time Data Enrichment
Real-time Data Enrichment

Build scalable, SQL-based real-time pipelines that ingest data from multiple sources, enrich it through efficient multi-way joins, and automatically handle schema evolution and out-of-order events.

IoT and Telemetry Pipelines
IoT and Telemetry Pipelines

Process high-volume device and sensor data in real time to detect anomalies, aggregate telemetry, and feed insights into monitoring and AI systems.

Streaming Lakehouse
Streaming Lakehouse

Continuously ingest operational data from Postgres, Kafka, and other sources into Iceberg tables. Simplify ELT and ETL with automatic compaction, schema management, and efficient incremental ingestion.

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Industries

How RisingWave Can Help Your Business

Financial Services
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RWFraud detection
RWIntraday risk management
RWCompliance and regulatory reporting
RWPortfolio management
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Energy
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RWAnomaly detection
RWEnergy consumption monitoring
RWEnergy trading
RWPredictive maintenance
RWEV charging management
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Manufacturing
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RWAdvanced anomaly detection and remediation
RWQuality control and compliance
RWPredictive maintenance
RWSupply chain optimization
RWIntegrated decision support
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Sports Betting
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RWLive betting odds calculation
RWPersonalized use experiences
RWRisk management
RWContent moderation
RWDynamic Ad Insertion
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Logistics
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RWReal-time fleet management
RWDelivery tracking
RWInventory management
RWCost management
RWDynamic scheduling
AD/Marketing Tech
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RWCustomer 360
RWReal-time bidding
RWPersonalized ad delivery
RWAudience segmentation
RWA/B testing
E-Commerce
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RWInventory management
RWPersonalized recommendation
RWDynamic pricing
RWChurn prevention and prediction
RWPayment processing
Healthcare
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RWReal-time patient monitoring
RWPredictive maintenance
RWSupply chain optimization
RWIntegrated decision support
RWPersonalized recommendation
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Financial Services
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Fraud detection
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Intraday risk management
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Compliance and regulatory reporting
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Portfolio management
Learn More RW
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Energy
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Anomaly detection
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Energy consumption monitoring
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Energy trading
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Predictive maintenance
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EV charging management
Learn More RW
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Manufacturing
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Advanced anomaly detection and remediation
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Supply chain optimization
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Quality control and compliance
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Predictive maintenance
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Operational efficiency and resource optimization
Learn More RW
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Sports Betting
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Live betting odds calculation
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Content moderation
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Personalized use experiences
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Dynamic Ad Insertion
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Risk management
Learn More RW
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Logistics
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Real-time fleet management
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Cost management
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Delivery tracking
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Dynamic scheduling
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Inventory management
Learn More RW
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AD/Marketing Tech
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Customer 360
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Audience segmentation
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Real-time bidding
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A/B testing
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Personalized ad delivery
Learn More RW
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E-Commerce
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Inventory management
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Churn prevention and prediction
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Personalized recommendation
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Payment processing
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Dynamic pricing
Learn More RW
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Healthcare
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Real-time patient monitoring and alerts
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Operational efficiency and resource optimization
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Clinical decision support
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Drug and treatment effectiveness monitoring
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Emergency response optimization
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COST EFFICIENCY

Engineered With
a Cloud-Native Architecture

RisingWave leverages a decoupled compute and storage architecture to achieve 10x cost efficiency.
RWEfficient streaming joins
RWTransparent dynamic scaling
RWInstant failure recovery
RWSpeedy bootstrapping and backfilling
RWHighly concurrent low-latency serving
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Start Simple, Go Advanced

PostgreSQL compatibility and Rust efficiency make RisingWave the easiest, most cost-effective way to power your most demanding event streaming workloads.

Stream Processing Primitives

Define precise event-time semantics using watermarks, windows, and temporal filters.

Ultra-Low Latency & Consistency

Deliver results in under 100 ms while maintaining transactional consistency across views and joins.

Complex Joins

Run multi-way joins across dozens of data streams and perform as-of joins between live and historical data.

Cascading Materialized Views

Stack MVs on top of each other to build layered transformations, each incrementally updated.

CDC with Advanced Backfill

Capture database changes with exactly-once semantics, including TOAST columns. Parallel, locality-aware backfill speeds up onboarding.

Time Travel Queries

Query past states of materialized views to reconstruct history for audits or backtesting.

Periodic Batch Ingestion

Incrementally load and refresh data from Iceberg, Snowflake, and BigQuery alongside live streams.

Workload Isolation

Contain failures and checkpoints within databases and resource groups for predictable performance.

Unified Experience for
Event Streaming

Traditional data stacks are complex and fragile. Combining stream processors with multiple databases drives up costs and increases risk of failure.
RisingWave provides a unified system that integrates storage, real-time transformations, interactive queries, and native Apache Iceberg™ support. You can ingest, process, analyze, and persist data seamlessly in one place.
CapabilitiesRisingWaveStream ProcessorsRelational Databases
Streaming Ingestion
Stream Processing
Continuous Data Sink
Low-Latency Serving
Row Storage
Columnar StorageApache Iceberg™Proprietary
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RisingWave
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Stream Processors
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Relational Databases
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Streaming Ingestion
Stream Processing
Continuous Data Sink
Low-Latency Serving
Row Storage
Columnar Storage
Apache Iceberg™
Streaming Ingestion
Stream Processing
Continuous Data Sink
Low-Latency Serving
Row Storage
Columnar Storage
Streaming Ingestion
Stream Processing
Continuous Data Sink
Low-Latency Serving
Row Storage
Columnar Storage
Proprietary
Direct Integration With Your Favorite Data Systems
MySQL
Apache Kafka
Pulsar
Amazon Kinesis
Google
Confluent
Amazon s3
MongoDB
PostgreSQL
ClickHouse
MySQL
Apache Kafka
Pulsar
Amazon Kinesis
Google
Confluent
Amazon s3
MongoDB
PostgreSQL
ClickHouse
Google Cloud Storage
ClickHouse
Apache Iceberg
CockroachDB
Delta Lake
Google BigQuery
Snowflake
Elasticsearch
MySQL
Apache Kafka
Google Cloud Storage
ClickHouse
Apache Iceberg
CockroachDB
Delta Lake
Google BigQuery
Snowflake
Elasticsearch
MySQL
Apache Kafka
See all Connectors
RESOURCES

We’ve Got Lots of Helpful Tips

and Resources for You

Read MoreRW
[ blog ]
Tutorial: Process-Time Temporal Joins in RisingWave
Imagine you run an online store where product prices change frequently. A customer places an order, and five minutes later, you update the price of an item they bought. When you review the order, how do you determine the correct price the customer pa...
6 min read
Read More
[ blog ]
Building a Real-Time Crypto Pump-and-Dump Detector with SQL
Cryptocurrency markets are known for their volatility, and unfortunately, this can be exploited through "pump and dump" schemes. These manipulations, where a token's price is artificially inflated ("pumped") before being sold off ("dumped") en masse,...
10 min read
Read More
[ blog ]
Speed Layer Performance Bottlenecks and Optimizations
In the previous article, we built the basic Speed Layer architecture with three core components — Source, Sink, and a Simple Streaming Engine. At first, everything worked perfectly: the Consumer processed order data smoothly, and the system appeared ...
10 min read
Read More
Read More
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Install RisingWave for macOS and Linux

See the quick start guide for next steps or other ways to run RisingWave.

curl -L https://risingwave.com/sh | shcopy-icon
The Modern Backbone for
Real-Time Data and AI
Try Now
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