Making the Gartner Magic Quadrant, part 2: data discovery advantage

In my previous post announcing Datawatch’s debut on Gartner’s 2015 Magic Quadrant for Business Intelligence and Analytics, we talked about how our strong scores for customer experience contributed heavily to Datawatch’s ranking.

Our data discovery capabilities were also a key factor in making the Magic Quadrant cut. A core function for data discovery solutions is what Gartner calls “Freeform Interactive Exploration.” Datawatch scored higher in this category than any other vendor, due largely to the fact that our support for all kinds of data – including real-time streaming data – is where the market is heading.

“Datawatch is a new MQ entrant that offers data discovery capabilities for a range of structured, streaming and multi-structured data, both emerging requirements. This makes them particularly well-suited for analytic applications for emerging requirements for the Internet of Things (IoT),” the Gartner report stated.

Data visualization is only as good as the data it sees. Hence, you get better insights from greater data variety. That’s why Gartner recognized Datawatch’s ability to quickly access and prepare data from all sources at real-time speeds was a significant differentiator that enhanced Freeform Interactive Exploration. The report said:

“Datawatch offers an interactive data discovery that is differentiated by its support for analyzing real-time streaming and time series data coming from messaging middleware, streaming infrastructure including Amazon Kinesis, and complex-event processing (CEP) engines including Tibco Streambase, OneTick, OneTick CEP, Thomson Reuters Velocity Analytics and SAP Sybase ESP. An in-memory, OLAP-based StreamCube is associated with each graphical display object. The system processes new data as it arrives, selects the subset of important data, recalculates the relevant sections of the model and refreshes the associated parts of the display immediately. In particular, the ability to compare real-time data with historical data is a differentiator from the data discovery specialists, including Tibco Spotfire, which has a level of integration with Tibco StreamBase (Tibco actually OEMs Datawatch for their LiveView product).”

We couldn’t agree more.