StreamingAnalytik

StreamingAnalytik is a software platform for real-time data analytics that enables organizations to ingest, process, and analyze streaming data with low latency. It is designed for scenarios such as system monitoring, fraud detection, IoT telemetry, and customer-facing analytics where rapid insights are essential.

The platform typically comprises an ingestion layer, a stateful processing engine, a storage layer, and a presentation layer. It connects to streaming sources such as Apache Kafka, Kinesis, MQTT, and social/feed streams, and outputs to data lakes, warehouses, dashboards, and alert systems. The processing engine supports event-time processing with windowing, state management, and fault-tolerant semantics.

It offers SQL-like streaming queries, dashboards, alerting, anomaly detection, machine learning integration for online inference, and data governance features such as lineage and access controls. Security includes encryption, authentication, RBAC, and IAM integration.

Available as a cloud-native service and may be deployed on-premises or in hybrid environments using container-based deployments. It provides connectors and APIs for integration with data sources, BI tools, and notebooks.

Industries include telecommunications, finance, manufacturing, and e-commerce; typical use cases include real-time monitoring, anomaly detection, fraud detection, predictive maintenance, and real-time segmentation.