“A lot of the time there is a window of opportunity within which, if your analytics completes, you can get insights and you can act on those insights. Then, you benefit from the analytics. But if the answer comes too late outside of that window of opportunity, then you might as well not have done the analytics.” - Keshav Pingali, CEO, Katana Graph.
Businesses need access to timely information
Timely insights bring forth the security necessary for an enterprise to run smoothly. There will always be bumps in the road that can be smoothed with access to the right knowledge.
Katana Graph is paving the way for a brighter future for all data-reliant businesses.
Constructing and analyzing knowledge graphs with high performance computing and the Katana Graph Engine’s scale-out capabilities is a means to cash in on the tremendous data quantities organizations routinely contend with. Critical low latency use cases include intrusion detection, fraud detection, and Anti-Money Laundering.
People are used to the notion of high performance computing in the context of computational science applications, where you’re solving very large systems of partial differential equations and you use something like finite elements to ultimately generate systems of linear and nonlinear equations. But the ability to scale out such problems — to distribute such workloads across multiple servers effectively — has only recently become practical, and scale-out solutions are absolutely essential in certain verticals; in some fintech cases, for example, graphs representing business problems may contain a trillion edges.
The Katana Graph difference
At Katana Graph we make it happen with top options in this space that “scale to 256 machines” as required for computational demands. This capability is especially valuable for AI deployments that use event stream processing.
More than half of the world’s data was created in the last two years, but less than two percent of it has been analyzed. Some of this data is of course structured data… but the vast majority of that data is unstructured and can often be viewed usefully only as graphs and therefore must be processed with graph algorithms.
The responsiveness of knowledge graphs underpinned by high performance computing greatly exceeds that of other methods. These performance gains are often the vital distinction between simply amassing immense knowledge graphs and actually deriving low latency action from them.
Learn more about how Katana Graph can help your business access massive amounts of data. Setup a meeting and demo with us.
