RisingWave 2025

 

RisingWave is an open-source streaming database designed for real-time analytics, providing SQL-based processing for continuous data streams.

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Market Leadership:

  • Emerging player in Gartner’s 2024 Critical Capabilities for Streaming Analytics.
  • Strong performer in IDC’s 2024 Real-Time Analytics Market Report.
  • Top-ranked in China IDC’s 2024 Streaming Database Solutions Report.
  • Noted in Forrester’s 2024 Open Source Database Solutions Report.
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Flagship Products:
  1. RisingWave Core: Streaming database engine for real-time processing.

    Key Features:

  • SQL compatibility for easy adoption by data teams.
  • Low-latency queries with incremental computation.
  • High-throughput ingestion for streaming data pipelines.
  • Fault-tolerant architecture with automated recovery.
  • Support for complex event processing and windowed queries.
  1. RisingWave Cloud: Managed streaming analytics service.

    Key Features:

  • Auto-scaling for dynamic workloads and cost efficiency.
  • Fault-tolerant design with multi-region replication.
  • Interactive dashboards for real-time data visualization.
  • Role-based access control for secure collaboration.
  • Integration with cloud storage like S3 and GCS.
  1. RisingWave Connect: Data integration for streaming pipelines.

   Key Features:

  • Native connectors for Kafka, Pulsar, and CDC sources.
  • Real-time data ingestion from databases and message queues.
  • Schema evolution for handling dynamic data structures.
  • High-performance data transformation with SQL.
  • Monitoring and alerting for pipeline health.
  1. RisingWave Sink: Real-time data output to downstream systems.

    Key Features:

  • Sink connectors for databases, data warehouses, and messaging systems.
  • Exactly-once semantics for data consistency.
  • Parallel processing for high-throughput data delivery.
  • Error handling and retry mechanisms for reliability.
  • Support for custom sinks via extensible APIs.

User Benefits: RisingWave enables real-time insights, simplifies streaming analytics, and reduces infrastructure costs for data-driven organizations.