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)
In recent times, one of the most popular subjects related to the field of
Business Intelligence (BI) has been In-memory BI technology. The subject
gained popularity largely due to the success of QlikTech, provider of the
in-memory-based QlikView BI product. Following QlikTech’s lead, many other
BI vendors have jumped on the in-memory “hype wagon,” including the
software giant, Microsoft, which has been aggressively marketing PowerPivot,
their own in-memory database engine.
The increasing hype surrounding in-memory BI has caused BI consultants,
analysts and even vendors to spew o... (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)
A few months ago, I wrote an article about the relationships between business
intelligence platform vendors and their distribution networks, and where
these relationships are headed.
The key message in that article was that Value-Added Resellers (VARs) must
understand that self-service business intelligence is where the market is
headed – and adjust their business models accordingly. A company selling BI
solutions based on another company’s BI platform will need to provide real
added value to the customer in order to stay in business. In the
not-too-distant future, this value wi... (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)