RapidMiner Data Stream Plugin 4.3

The RapidMiner Data Stream Plugin adds native support for continuous, real-time data processing to RapidMiner. It lets you design streaming pipelines alongside your batch workflows, so you can ingest live data, enrich events, compute rolling metrics with sliding or tumbling windows, and score incoming records with incremental or pre-trained models. Common use cases include IoT and sensor monitoring, log and clickstream analysis, anomaly detection, and live KPI tracking. Built on RapidMiner’s visual operators, it enables no-code streaming processes that integrate with your existing repositories, dashboards, and alerting mechanisms.

Key capabilities:

• Live data ingestion from continuous sources
• Windowing, filtering, aggregation, and event enrichment
• Real-time scoring with online or batch-trained models
• Output to databases, files, queues, or notifications
• Seamless use within standard RapidMiner processes for easy deployment

Note: Specific connectors and version compatibility may vary by release. Refer to the plugin’s documentation for details.

The most popular versions of RapidMiner Data Stream Plugin among our users are: 4.1, 4.2 and 4.3.