RisingWave

What is RisingWave?

RisingWave is a cloud-native, open-source big data tool built in Rust that helps you process and analyze live data using SQL. It can continuously ingest millions of events per second from sources like Kafka or CDC streams.

RisingWave uses incremental computation and materialized views, so query results are always up to date without reprocessing everything. Its architecture decouples storage and compute for efficient scaling and cost savings.

RisingWave is wire-compatible with PostgreSQL, allowing you to query it using familiar Postgres SQL tools, and it integrates natively with Apache Iceberg for storing data in a lakehouse.

It supports stream-stream joins, windowed aggregations, and complex event-time operations while guaranteeing consistency and exactly-once processing, even with out-of-order events.

RisingWave is cost-efficient, automatically scaling compute based on need and storing state in object storage, making it ideal for real-time analytics, monitoring, and event-based applications without the complexity of traditional stream systems.

Why Choose RisingWave Software?

• Real-Time Analytics: Continuously processes live streaming data with low latency.
• Standard SQL Interface: Users can write queries in familiar PostgreSQL-style SQL.
• Incremental Computation: Uses materialized views to update only changed parts of your data.
• Cloud-Native Architecture: Separates compute and storage for elastic scalability.
• Open Source: Licensed under Apache 2.0 so it's free and community-driven.
• High Throughput: Designed to ingest millions of events per second.
• Exactly-Once Semantics: Guarantees consistency even with out-of-order events.
• Automatic Schema Evolution: Supports changes in data schema without downtime.
• Seamless Postgres Compatibility: Wire-compatible with Postgres, making integration easy.
• Apache Iceberg Support: Native integration with Iceberg for lakehouse storage.
• Stream-Stream Joins: Can join multiple live data streams easily.
• Windowed Aggregations: Supports time-based windows for streaming data analytics.
• Instant Failure Recovery: Recovers from failures quickly to minimize data loss.
• Dynamic Scaling: Automatically scales resources up or down based on load.
• Elastic Disk Cache: Uses local disk caching to reduce object-storage access costs.

Benefits of RisingWave Software

• Isolated Serving Nodes: Separates query serving from ingestion for better performance.
• User-Defined Functions: Developers can build custom logic with UDFs.
• Automatic Upgrades: Schema changes and updates happen without disrupting service.
• Serverless Backfill: Supports efficient backfilling of historical data.
• Time-Travel Queries: Query previous states of materialized views for auditing.
• Low Cost: Pay-as-you-go (or self-host), thanks to decoupled architecture.
• Efficient Resource Use: Only uses compute when necessary, minimizing waste.
• Durable State Management: Stores state reliably in object storage for fault tolerance.
• Accessible to Analysts: SQL means users don't need to know Java or Scala.
• Broad Connector Support: Built-in connectors for Kafka, CDC systems, object storage, and more.
• Low Operational Overhead: Managed service option minimizes maintenance.
• Strong Community & Support: Open-source backing plus enterprise support available.
• Optimized for Cloud Cost: Uses storage and compute separation to reduce cloud costs.
• Safety & Reliability: Ensures consistency and recovery with snapshotting and state persistence.
• Future-Ready: Built from the ground up for modern, event-driven data architectures.

RisingWave Pricing

RisingWave price is available upon request as listed on Techjockey.com. The pricing model is based on different parameters, including extra features, deployment type, and the total number of users. For further queries related to the product, you can contact our product team and learn more about the pricing and offers.