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DataTorrent Raises the Bar for Real-Time Streaming

Oct 15, 2014 |

There’s a lot of talk these days about real-time streaming applications. If analyzing and acting on new data is good, then doing it immediately must be better. The truth is, building real-time streaming applications is not easy work. One company that’s pushing the bar higher in this area is DataTorrent. DataTorrent develops a distributed Hadoop 2 application called Real Time Streaming (RTS) that enables users to act upon and analyze time-sensitive data, including call data records, log and machine data, Read more…

Streaming Analytics Ready for Prime Time, Forrester Says

Jul 22, 2014 |

Analytic platforms that generate insights from data in real time are mature enough for enterprises to begin adopting them, Forrester says in its latest report. While open source streaming analytic products like Apache Storm are proving popular, Forrester says they lack key functionality found in the offerings of proprietary vendors, such as top-rated Software AG. You don’t need a Forrester analyst to know that streaming analytics is red hot at the moment. If Hadoop has opened our eyes to what Read more…

DataTorrent RTS Clocks In at 1.5B Events per Second

Jun 3, 2014 |

What would you do with a system that could process 1.5 billion events per second? That’s the mind-boggling rate at which DataTorrent’s Real-Time Streaming (RTS) offering for Hadoop was recently benchmarked. Now that RTS is generally available–DataTorrent announced its general availability today at Hadoop Summit in San Jose–we may soon find out. That 1.5-billion-events-per-second figure was recorded on DataTorrent’s internal Hadoop cluster, which sports 34 nodes. Each node is able to process tens of thousands of incoming events (call data Read more…

It’s Sink or Swim in the IoT’s Ocean of Bigger Data

Jun 2, 2014 |

The network of connected devices commonly called the Internet of Things is poised to drive data growth to stratospheric levels. Our ability to wield analytics on these big, fast, and diverse data will determine whether we can successfully harness the IoT to improve livelihoods and boost bottom lines, or whether we’ll crumble under the weight of the new data. If you thought today’s data levels were big or fast or diverse, you haven’t seen anything yet. Analysts say the amount Read more…

Crossing the Big Data Stream with DataTorrent

Apr 23, 2014 |

Enterprises eager for a competitive edge are turning to in-memory stream processing technologies to help them analyze big data in real time. The Apache Spark and Storm projects have gained lots of momentum in this area, as have some analytic NoSQL databases and in-memory data grids. Another streaming technology worth keeping an eye on is DataTorrent.

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