Welcome Current 2024 Attendees

Want the information available at the thatDot booth, but don’t want to carry anything?

Let us know where you want them sent, and we’d be happy to email the same data sheets in digital form directly to you.

What you’ll get:

  • thatDot is Categorically Different from Apache Flink - comparison sheet
  • Entity Resolution - data sheet 
  • Streaming Graph - product data sheet
  • Novelty - product data sheet
Cybersecurity success

A Better Engine for Cybersecurity Applications

Time windows create an attack vector that low and slow attacks like APTs exploit. They get into your system, wait for the time window to roll on past, and now they look like legitimate system traffic.

Instantly catch attacks the moment they act. To make your real-time application the best shield on the market, get:

  • Clear, instant results even on complex analyses on categorical data.
  • Unlimited joins across multiple data streams.
  • No time window boundaries–detect threats requiring data points from six months ago and a few milliseconds ago.

Accelerate Financial Risk and Fraud Applications

Fraud detection, risk analysis, and money laundering detection all require connecting information across data streams and time, thatDot’s specialty. But evaluating risk after regulatory windows are closed, or finding out your company has been defrauded a few days after the fact both cost millions.

Catching a problem instantly, and stopping it fast, is worth a fortune to every financial institution there is. To make your real-time application the ROI king, get:

  • Clear, instant results even on complex analyses on categorical data.
  • Unlimited joins across multiple data streams.
  • No time window boundaries–catch fraud requiring data points from six months ago and a few milliseconds ago.

 

Financial success

“In event stream processing, there’s always this concept of a window. That window is bounded for a certain time and then it slides or tumbles. For thatDot, there are no windows because windows constrain you, and you may have a late arriving transaction maybe hours or weeks later. There are a whole host of use cases that simply cannot be reasonably addressed by existing technology.”

Sanjeev Mohan (Principal, SanjMo & Former Gartner Research VP, Data Analyst)