A streamhouse is a data architecture that keeps the current state of a business continuously available to production applications, analytics, and AI agents. It captures data as events happen, processe...
Streaming data integration is the continuous movement of data between systems as it changes. Instead of copying records on a schedule, it captures each insert, update, or event when it happens, transf...
Serverless stream processing means running real-time data pipelines without provisioning, sizing, or operating the servers or clusters underneath them. The platform scales compute up and down with the...
Streaming analytics is the continuous analysis of data while it is still in motion. Instead of storing events first and querying them later, a streaming analytics system evaluates each event as it arr...
Most Kafka estates start clean and end up unmanageable. A handful of topics grows into hundreds, owned by different teams, documented inconsistently or not at all, with no reliable way to know who is ...
Enterprises generate event data continuously: orders placed, sensors reporting, prices changing, fraud signals firing. Turning that stream into a decision in real time used to require a dedicated engi...