Event driven processing of any event type in batch and real time.
Capability to process massive volume of data in real-time.
Continuous event processing engine for processing high volumes of data and execution of business logic and/or data transformation.
Support structured, unstructured, semi-structured and raw data types.
Capture, curate, analyze, search, store, transfer, and present complex data in a simple, user-friendly way.
Vendor independent to formats/external systems through configuration of integration.
Enhanced data analytics including Machine Learning/AI with integrated storage support to Big Data, RDBMS, NoSQL.
Online and offline large scale data streaming, collection, transformation, and distribution such as Kafka (Avro), MQSeries, RabbitMQ, MQTT for IoT, UDP.