Real-time streaming support to and from Kafka, RabbitMQ, MQTT, UDP, TCP/IP allows for constant processing of data at scale.
Flexible, configurable behavior data feature generation for time-based analytics.
Simple integration with APIs for different configured workflows/business logic, ensuring rapid adoption and time-to-market.
Streamed data and behavioral features can be captured in range of supported storage systems (RDBMS, Big Data, NoSQL) and analyzed using big data analytics tools.
Act as Consumer and/or Producer.
Integrate real-time streaming to other systems and applications through open APIs.
Extensive data transformation, aggregation, filtering, splitting, assembly tools in-built.
Neural Technologies ActivML provides advanced machine learning and AI tools as part of the streaming data analytics toolkit.
Capture, curate, analyze, search, store, transfer, and present complex data in a simple, user-friendly way.
Execute business intelligence and analytics through results of event message processing.
Direct integration to Avro for shared schemas.
Configurable scripting supported with Python and Java. Extensive data transformation in-built.
Cluster and security management. Monitoring and visualization of message queues.