Only Datawatch lets you visualize true real-time streaming data feeds from message queues, CEP engines, OData sources, and tick databases.
Lots of companies say their visualizations and dashboards can handle “real-time requirements”. But what they mean is that their systems can request updates from a real-time source when needed for example, to generate a graph. The data used in the graph is accurate at that moment, but it’s immediately out-of-date since the information isn’t updated until a complete refresh is performed. Datawatch, on the other hand, enables real-time data to be continually pushed into your visualizations instantly, as-it-happens and on a tick-by-tick basis.
Interact with real-time data. Combine it with historical information.
With our StreamCube, in-memory OLAP data model, you can filter, slice and dice all the data coming into the system on the fly, without the latency added by a middle data layer. And you can add real-time data to historical data stored in relational databases and flat files, for 360-degree view of your business landscape.
Real-time analysis without slowing your system.
When you want to work with real-time data feeds that are changing hundreds of times per second, you have to be careful not to drain system resources. Datawatch is designed to keep your system performing at optimal levels, even as real-time data streams into it.
Get real-time visual alerts.
Get visual alerts when a specific set of conditions takes place or when data is updated. If you’re monitoring trade activities or exposure risks, for example, you can set alerts to notify you when certain trouble conditions are present, enabling you to take immediate action.