RisingWave Pricing & Plans

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SQL Query Processing

Executes relational queries on streaming and batch data using standard SQL syntax for real-time data analysis tasks.

Stream Ingestion

Continuously ingests event streams from external systems such as Kafka, Pulsar, and message queues for processing.

Materialized Views

Maintains continuously updated query results as materialized views, enabling direct access to processed data.

Incremental Computation

Processes only newly arriving data rather than recomputing entire datasets, ensuring efficient query execution.

Window Aggregation

Performs aggregations on event streams over time-based, session-based, or count-based windows for analytics

User-Defined Functions

Supports creation of scalar, aggregate, and table functions to extend SQL processing with custom logic.

Indexing Support

Creates and maintains indexes on streaming tables and views to accelerate lookups and query execution.

Query Optimization

Generates optimized execution plans with cost-based and rule-based techniques for efficient query performance.

Backfill Processing

Executes backfilling of historical data streams into materialized views without interrupting live processing.

Execution Graphs

Organizes queries as distributed execution graphs composed of operators, fragments, and actors in runtime.

State Management

Maintains operator states in distributed storage for fault tolerance and supports recovery during execution.

Data Partitioning

Distributes streaming data across partitions to parallelize execution and balance processing workloads.

Query Explain Plans

Provides detailed logical and physical execution plans via EXPLAIN for query debugging and performance tuning.

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Brand Name	RisingWave
Information	RisingWave is an open-source distributed SQL database for data stream ingestion, processing, and analytics. It is designed to reduce the complexity and cost of building real-time applications.
Founded Year	2021
Director/Founders	Scott Shi, Yingjun Wu
Company Size	101-500 Employees