Build Real-time, Interactive Applications with Ease - RisingWave: Open-Source Streaming Database

Transform Your Streaming Data into Actionable Insights.

Trusted by 1,000+ Data-Driven Organizations

to harness continuous insights from both live and historical data.

Trusted by 1,000+ Data-driven Organisations to harness continuous insights from both live and historical data.

Real-time Data Processing

RisingWave is ideal for scenarios where immediate data responsiveness is crucial. It extends the potential of Kafka, making it indispensable for industries demanding precision and agility, such as financial services, real-time monitoring, and Internet of Things (IoT) applications.

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Stream Processing like Never Before

Stream Processing as Easy as PostgreSQL

Apply your team’s PostgreSQL expertise to execute complex streaming joins and advanced time windowing. This compatibility extends to client libraries, ensuring seamless integration with existing PostgreSQL tools and applications.

Fully Managed in RisingWave Cloud

Seamlessly integrate data from any Kafka flavor with RisingWave. Automatically handle catalog extraction and transformation management to power reactive, real-time applications.

Unified Streaming & Batch Processing

Break down data silos with one platform that handles both stream and batch processing. Continuously process streaming data alongside application data in databases and build critical insights.

End-to-End Streaming with Kafka and Beyond

RisingWave integrates effortlessly with any Kafka flavor—whether it’s Redpanda, Pulsar, Confluent Kafka, or MSK, expect smooth streaming experience from day one. Bring your own Kafka, and RisingWave will automatically manage catalog extraction and transformation. No Kafka? We offer tailored onboarding to help you choose and set up the best option.

Powerful Streaming Processing Capabilities

Processing streams in Kafka exposes gaps like limited advanced processing, manual state management, and complex scaling. RisingWave addresses these gaps, offering a comprehensive streaming experience to handle multi-stream joins, temporal data, and schema evolution effortlessly.

Continuous Processing in SQL

Embrace full set of streaming SQL features, including watermarking, time windowing, and temporal filtering, build sophisticated stream processing and real-time analytics at ease.

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High-Performance With Consistency Guarantees

Handling complex queries at high-performance with consistency guaranteed. RisingWave’s decoupled compute and storage architecture allows for the efficient joining of multiple data streams and historical data without concern for join state size

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Dynamic Scaling and Instant Failure Recovery

Scale up or down within seconds, ensuring efficient handling of varying workloads without manual intervention. Built for resilience — recover from disruptions in seconds, minimize downtime while maintaining data consistency and availability

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Hands-Free State and Schema Management

RisingWage ensures that the system can adapt seamlessly to evolving data requirements. Allow teams to modify their data stream schemas without downtime.

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Exactly-Once Processing

RisingWave provides a consistency guarantee over the consumption of streams, ensuring no unexpected data loss or duplication even after a failure recovery.

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Serverless Backfilling

Efficiently backfill historical data without long wait times. This capability is particularly useful in environments where schema changes or business logic updates occur frequently

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[ blog ]

RisingWave Feature: Automatic Schema Change for PostgreSQL

The latest release of RisingWave, version 2.1, is packed with exciting features. In this post, we'll dive into one of the most significant updates: automatic schema changes for PostgreSQL source. Pain points of schema changes Schema changes in Postgr...

4 min read

[ blog ]

Time-Series Databases vs. Streaming Databases: Key Differences & Use Cases

As a developer advocate at RisingWave Labs, I often encounter confusion about the differences between streaming databases like RisingWave and time-series databases (TSDBs). Both handle high-velocity data, but their strengths lie in distinct areas. Th...

6 min read

[ blog ]

Real-Time Data Processing and Analysis in Capital Markets with Solace PubSub+ Platform and RisingWave

Introduction Real-time data distribution and streaming applications have been extremely popular and in demand for the last few years. Firms across industries have realized the value of processing data in real-time as opposed to what they had been doi...

16 min read