High performance realtime streaming analytics engine, works on message streams, runs inside a SwiftMQ Universal Router and can be easily integrated into existing infrastructures and data feeds.
Streams consume messages from any source, build data histories, analyze, aggregate, correlate message data and generate higher qualified results.
Sliding, tumbling, session windows | event time processing | late arrival handling | queue, topic, management inputs | queue, topic, eMail outputs
Stream message data can be enriched on the fly from any JDBC compliant database.
Streams can be connected via intermediate queues and topics router network wide to implement complex analytics in multiple, exchangeable, micro services like steps.
No data is lost or processed twice in case of a HA failover due to HA transaction consistency.
SwiftMQ Streams is included in SwiftMQ Universal Router at no extra charge.