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 combine data. This process prevents
non-technical users from working with data and building analytics quickly. In
contrast, SiSense makes working with data a breeze. The solution lets
business users combine data from Cloud and On-premises sources without any
coding or scripting.
“It's fantastic... (more)
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, unm... (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)
If you follow trends in the business intelligence (BI) space, you'll notice
that many analysts, independent bloggers and BI vendors talk about in-memory
There are technical differences that separate one in-memory technology from
another, some of which are listed on Boris Evelson's blog.
Some of the items on Boris' list are just as applicable to BI technologies
that are not in-memory (‘Incremental updates', for example), but there is
one item that merits much deeper discussion. Boris calls this characteristic
‘Memory Swapping' and describes it as, What the (BI) vendor'... (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)