SiSense, the Big Data Analytics Company, has announced that it is introducing
the first In-Chip Analytics solution in the Cloud. The SiSense business
analytics software, powered by Rackspace Hosting (NYSE: RAX), will be
demonstrated today and tomorrow at the GigaOM Structure conference in San
Francisco (booth #43).
With SiSense Prism 10X, companies of all sizes are able to run Terabyte-range
analytics workloads in the Cloud without having to worry about setting up
complex clusters, acquiring or maintaining expensive hardware. The solution
provides enterprise-grade service, unmatched analytics power in the Cloud and
reduces the cost of Big Data Analytics to as low as $1 per Terabyte per hour.
"The current model for Big Data Analytics is broken. It is prohibitively
expensive and complicated," said SiSense CEO Amit Bendov. "By letting SiSense
and Rackspace do the he... (more)
OLAP (Online Analytical Processing) technology is the most prevalent
technology used in corporate BI solutions today. And while it does what
it’s supposed to do very well, it has a bad (and accurate) reputation for
being very expensive and difficult to implement, as well as extremely
challenging to maintain. This fact has prevented OLAP technology from gaining
wide popularity outside of Fortune 500-scale companies, which are the only
ones who have the budgets for company-wide, OLAP-based BI implementations.
Since the inception of BI and consequent entrance of OLAP technology into ... (more)
SiSense, a provider of Big Data Analytics Software, recently announced Prism
3.0, the latest version of its end-to-end Business Intelligence (BI)
With over 100 new features, Prism 3.0 introduces breakthrough in data access.
Prism 3.0 enables customers to work with more data faster, regardless the
number of datasources, no matter how big their data is or how fast it grows.
A fully featured trial of Prism 3.0 can be downloaded for free here.
More Data, No Code
Traditional Business Intelligence tools require users to learn proprietary
scripting languages to access and comb... (more)
For a couple of years now, there has been a substantial amount of hype in the
business intelligence (BI) space regarding “cloud BI,” or business
intelligence systems hosted by Internet “cloud computing” service
providers. This “cloud BI”, which is actually SaaS
(software-as-a-service) BI, has been riding the wave of cloud computing in
general, with the lower startup costs, faster deployment and easier
scalability that cloud-based software implementations promise business
Several new companies have emerged and are promoting a new golden age of BI
which they say will ... (more)
I've recently come across an interesting online discussion where several
posters discuss working with large amounts of data and its implications on
business intelligence implementations. I wouldn't have noticed it if one of
the posters had not referred to SiSense in one of the comments.
The main reason for the post was purely technological, putting on display the
internals of QlikView's in-memory database technology. This lasted for about
5 posts, after which it turned into a bashing match between QlikView
supporters and what you could call QlikView non-sympathizers in regards to ... (more)