# RisingWave

> RisingWave is a PostgreSQL-compatible streaming database for real-time event processing. It lets developers build streaming data pipelines and real-time applications using standard SQL — no Java required. Built in Rust with a cloud-native, decoupled compute-storage architecture using S3-compatible object storage.

RisingWave ingests data from sources like Kafka, PostgreSQL (CDC), MySQL (CDC), Pulsar, and Kinesis. It continuously processes event streams through materialized views and serves low-latency queries. It also supports streaming data directly into Apache Iceberg tables.

## Docs

- [Getting Started](https://docs.risingwave.com/get-started/intro): Overview of RisingWave architecture and key concepts
- [SQL Reference](https://docs.risingwave.com/sql/overview): Complete SQL syntax reference
- [Connectors](https://docs.risingwave.com/integrations/overview): Source and sink connector documentation

## Product

- [Overview](https://risingwave.com/overview/): Product overview and capabilities
- [Streaming SQL](https://risingwave.com/streaming-sql/): How RisingWave processes streaming data with SQL
- [Materialized Views](https://risingwave.com/materialized-views-for-streamline-data-analysis/): Incremental computation for always-fresh query results
- [Streaming Lakehouse](https://risingwave.com/lakehouse/): Apache Iceberg integration for unified streaming and batch
- [Serving Layer](https://risingwave.com/serving/): Low-latency serving of materialized views for applications
- [Database](https://risingwave.com/database/): RisingWave as a streaming database
- [Pricing](https://risingwave.com/pricing/): RisingWave Cloud pricing and plans

## SEO Landing Pages

- [What Is a Streaming Database](https://risingwave.com/streaming-database/): Introduction to the streaming database concept
- [Incremental Materialized Views](https://risingwave.com/incremental-materialized-views/): How incrementally maintained materialized views work
- [Real-Time Analytics Database](https://risingwave.com/real-time-analytics-database/): Purpose-built database for real-time analytics
- [Streaming ETL](https://risingwave.com/streaming-etl/): Replace batch ETL with streaming SQL pipelines
- [Exactly-Once Stream Processing](https://risingwave.com/exactly-once-streaming/): Guaranteed exactly-once semantics in stream processing
- [Continuous Queries](https://risingwave.com/continuous-queries/): Persistent queries that process data as it arrives
- [Event-Driven Architecture with SQL](https://risingwave.com/event-driven-architecture/): Build event-driven systems using SQL
- [Real-Time Feature Store for ML](https://risingwave.com/real-time-feature-store/): Compute and serve ML features in real time
- [Open-Source Streaming Database](https://risingwave.com/open-source-streaming-database/): RisingWave as an open-source streaming database
- [CDC Streaming Database](https://risingwave.com/cdc-streaming-database/): Change data capture with a streaming database
- [PostgreSQL Streaming Database](https://risingwave.com/postgresql-streaming-database/): PostgreSQL-compatible streaming database
- [Stream Processing Without Java](https://risingwave.com/stream-processing-without-java/): Stream processing using SQL instead of Java

## AI Agent Pages

- [Real-Time Data Infrastructure for AI Agents](https://risingwave.com/ai-agent-data-infrastructure/): Streaming data infrastructure powering AI agents
- [Context Engineering with a Streaming Database](https://risingwave.com/context-engineering-database/): Context engineering patterns using streaming SQL
- [Materialized Views for AI Agents](https://risingwave.com/materialized-views-for-ai-agents/): Always-fresh materialized views serving AI agent queries
- [Real-Time RAG Pipeline](https://risingwave.com/real-time-rag-pipeline/): Build real-time retrieval-augmented generation pipelines
- [Model Context Protocol with Streaming Database](https://risingwave.com/mcp-streaming-database/): MCP integration with RisingWave for AI agent data access
- [Real-Time Data for AI Agents](https://risingwave.com/real-time-data-for-ai-agents/): Serving real-time data to AI agents

## Comparisons

- [RisingWave vs Apache Flink](https://risingwave.com/risingwave-vs-apache-flink/): Feature-by-feature comparison of architecture, cost, ease of use
- [RisingWave vs ksqlDB](https://risingwave.com/risingwave-vs-ksqldb/): Comparison with Kafka Streams SQL layer
- [RisingWave vs Apache Spark](https://risingwave.com/risingwave-vs-apache-spark/): Comparison with Spark Structured Streaming
- [RisingWave vs Materialize](https://risingwave.com/risingwave-vs-materialize/): Comparison with Materialize streaming database
- [RisingWave vs ClickHouse](https://risingwave.com/risingwave-vs-clickhouse/): Comparison with ClickHouse for real-time analytics
- [RisingWave vs Databricks Streaming](https://risingwave.com/risingwave-vs-databricks-streaming/): Comparison with Databricks streaming capabilities
- [RisingWave vs Snowflake Streaming](https://risingwave.com/risingwave-vs-snowflake-streaming/): Comparison with Snowflake streaming features
- [RisingWave vs Decodable](https://risingwave.com/risingwave-vs-decodable/): Comparison with Decodable managed stream processing

## Use Cases

- [Monitoring and Alerting](https://risingwave.com/use-cases/use-case-monitoring-and-alerting/): Real-time anomaly detection and alert triggering
- [Real-time ETL](https://risingwave.com/use-cases/use-case-real-time-etl/): Streaming data enrichment and transformation pipelines
- [Continuous Analytics](https://risingwave.com/use-cases/use-case-continuous-analytics/): Live dashboards with sub-second data freshness
- [Feature Engineering](https://risingwave.com/use-cases/use-case-feature-engineering/): Real-time ML feature computation

## Industry Solutions

- [Financial Services](https://risingwave.com/use-cases/solution-financial-services/): Fraud detection, risk monitoring, trading analytics
- [Manufacturing](https://risingwave.com/use-cases/solution-manufacturing/): IoT sensor analytics, predictive maintenance
- [E-commerce](https://risingwave.com/use-cases/solution-e-commerce/): Dynamic pricing, inventory management, personalization
- [Energy](https://risingwave.com/use-cases/solution-energy/): Smart grid monitoring, demand forecasting
- [Financial Services (Industry)](https://risingwave.com/industries/financial-services/): Comprehensive financial services industry page
- [Manufacturing (Industry)](https://risingwave.com/industries/manufacturing/): Manufacturing industry solutions
- [Logistics](https://risingwave.com/industries/logistics/): Real-time logistics and supply chain optimization
- [Energy (Industry)](https://risingwave.com/industries/energy/): Energy industry streaming analytics
- [E-commerce (Industry)](https://risingwave.com/industries/ecommerce/): E-commerce industry real-time data solutions
- [AdTech](https://risingwave.com/industries/adtech/): Real-time ad tech data processing and analytics

## Security Analytics

- [Real-Time Fraud Detection](https://risingwave.com/real-time-fraud-detection/): Detect payment fraud and transaction abuse in real time using SQL over Kafka streams
- [Cybersecurity Threat Detection](https://risingwave.com/cybersecurity-threat-detection/): Correlate security event streams for real-time intrusion and threat detection
- [Account Takeover Detection](https://risingwave.com/account-takeover-detection/): Real-time ATO prevention with streaming SQL correlation across login and transaction events
- [Sigma Rules on Streaming Data](https://risingwave.com/sigma-rules-streaming/): Translate Sigma detection rules to SQL and run them over Kafka log streams in real time
- [Real-Time Log Analytics](https://risingwave.com/real-time-log-analytics/): Analyze application, security, and infrastructure log streams with SQL without log indexing
- [Behavioral Anomaly Detection](https://risingwave.com/behavioral-anomaly-detection/): Streaming UEBA with SQL-based behavioral baselines for insider threat and bot detection
- [DDoS Detection](https://risingwave.com/ddos-detection/): Real-time volumetric flood and application-layer DDoS detection over network flow streams
- [Network Anomaly Detection](https://risingwave.com/network-anomaly-detection/): Detect C2 beaconing, lateral movement, and exfiltration signals from NetFlow and DNS streams
- [Iceberg Audit Trail](https://risingwave.com/iceberg-audit-trail/): Stream database changes and security events into Apache Iceberg for tamper-evident compliance audit

## Guides

- [What Is a Streaming Database](https://risingwave.com/guides/what-is-a-streaming-database/): Comprehensive guide to streaming databases
- [Materialized Views Explained](https://risingwave.com/guides/materialized-views-explained/): Deep dive into materialized views
- [Streaming SQL Guide](https://risingwave.com/guides/streaming-sql-guide/): Guide to writing streaming SQL queries
- [Change Data Capture Guide](https://risingwave.com/guides/change-data-capture-guide/): How to set up and use CDC pipelines
- [Stream Processing vs Batch](https://risingwave.com/guides/stream-processing-vs-batch/): When to use stream processing over batch
- [Data Freshness](https://risingwave.com/guides/data-freshness/): Understanding and achieving data freshness
- [Operational Data Layer](https://risingwave.com/guides/operational-data-layer/): Building an operational data layer with streaming
- [Kafka Stream Processing](https://risingwave.com/guides/kafka-stream-processing/): Processing Kafka streams with SQL
- [PostgreSQL CDC Tutorial](https://risingwave.com/guides/postgresql-cdc-tutorial/): Step-by-step PostgreSQL CDC setup
- [Real-Time Fraud Detection](https://risingwave.com/guides/real-time-fraud-detection/): Building real-time fraud detection systems

## Customer Stories

- [GDU Labs](https://risingwave.com/customer-stories/gdu-labs/): 3.5B events, 750M entities, sub-second updates
- [Metabit Trading](https://risingwave.com/customer-stories/metabit/): 95% cost reduction in real-time monitoring
- [Siemens](https://risingwave.com/customer-stories/siemens/): 1000x faster data with streaming Medallion architecture
- [Hivemind](https://risingwave.com/customer-stories/hivemind/): Building streaming architectures for enterprise clients
- [Atome](https://risingwave.com/customer-stories/atome/): Feature delivery from weeks to 1 day
- [Kaito](https://risingwave.com/customer-stories/kaito/): 1,000+ dashboards by 1 engineer in 2 weeks
- [CVTE](https://risingwave.com/customer-stories/cvte/): 10+ way streaming joins at sub-second freshness
- [Tencent Cloud](https://risingwave.com/customer-stories/tencent/): 10x+ TPS with RisingWave replacing Flink

## Open Source

- [GitHub Repository](https://github.com/risingwavelabs/risingwave): Source code (Apache 2.0 license)
- [Community](https://risingwave.com/community/): Slack, GitHub Discussions, and community resources