Build intelligent apps that can make actionable decisions in real-time
To deliver best-in-class applications for users that demand instant gratification, application developers are moving from post-event data processing to taking in-event decisioning on streaming data. Traditional message bus technologies compromise on data accuracy and integrity in favor of speed and scale. Their inherent data pipeline architecture limits them from offering low latency, intelligent decision making capabilities that are available when using in-memory databases like VoltDB.
VoltDB’s smart stream processing processes streaming data sequentially and incrementally on a record-by-record basis or over sliding time windows, and utilizes it for a wide variety of analytics tasks giving organizations visibility into customer activity and business. This revolutionary stream processing architecture combines streams and contextual state with dynamic Machine Learning (ML) rules to enable accurate on-time business decisions.