Features

  • SQL-like Queries: Simplifies stream processing.
  • Real-Time Processing: Instant insights from data streams.
  • Scalability: Handles large volumes of data.
  • Integration: Seamlessly integrates with Kafka ecosystem.

Benefits

  • Ease of Use: Intuitive query language.
  • Efficiency: Processes data with minimal latency.
  • Versatility: Supports various data processing tasks.
  • Scalability: Grows with data needs.

Use Cases

  • Real-time monitoring and alerting.
  • ETL processes for streaming data.
  • Real-time data transformation.
  • Building real-time analytics dashboards.

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