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Leverage Big Data'14

February 26, 2013

SiSense Analyzes 10 Terabytes in 10 Seconds at Strata


SiSense is showcasing the performance of its Prism solution by analyzing 10 Terabytes in 10 seconds on a single server node at the O'Reilly Strata Big Data Conference this week (Booth P3).

This new record demonstrates how SiSense technology can analyze 100 times more data than traditional in-memory solutions. The server used for this performance is an "off-the-shelf" Dell PowerEdge R720 Rack Server, and SiSense is demonstrating it can analyze on one node what normally requires 20 nodes.

The company is also a finalist in the conference's "Startup Showcase" competition taking place Tuesday, Feb. 26 at 6:00pm PST.

"The majority of businesses struggle with Terabytes of Data, not Petabytes. And they shouldn't have to worry about setting up complex clusters and distributed environments that were initially designed for Petabyte scale," says Amit Bendov, SiSense CEO. "With this record, we show that the answer can be very simple: our software provides the scale they need on one server and it contains the entire solution, in one package; from the database to beautiful visualizations on the web." Bendov continues: "We want to show that Data Analytics is not just reserved for the few companies that can afford complex systems. We aim to make Big Data Analytics approachable and simple for all."

Wayne Eckerson, founder of BI Leadership Research highlights: "One of the key innovations I was impressed with, is the way SiSense combines vectorization, in-memory and columnar algebra to boost query performance -- this is a very different and new approach."

SiSense has improved on storage offerings with Prism's columnar data structure and compression algorithms. Its compiler runs inside the CPU and inside the machine control unit, and decides in real-time how to best execute queries -- either in RAM, Disk, or both. SiSense also uses "vectorization," a process that refers to a machine's ability to apply the same operation to multiple pieces of data simultaneously.

SiSense customers include very large companies like Merck, ESPN, and NASA to Silicon Valley icons like Yahoo! or Fusion-IO, to small companies like Uber or Fiverr. SiSense Prism can be deployed on-premises or in the cloud.

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