Avoid proprietary lock-in. BigInsights is based on standard
Hadoop 2.2.0 and includes the rich tools that Hadoop users
expect. Where IBM does provide value-added features, they
are carefully implemented so that customers have a choice
whether to use IBM enhancements or standard Hadoop
functionality.
While some Hadoop vendors are building their own SQL-on-
Hadoop implementations from scratch, Big SQL is ANSI
compliant, lightning fast and runs on native Hadoop file
formats. Brought to you by the inventors of SQL, Big SQL
provides federated access so customers can query IBM and
third party data sources with the same feature rich SQL.
Shockingly, there are those who prefer not to code in
Java or write Pig scripts to get data from Hadoop.
BigSheets provides an easy-to-use spreadsheet interface
allowing business users to extract, manipulate and
visualize data from a variety of Hadoop and non-Hadoop
data sources.
Building applications able to extract meaning from text is
hard. Rather than build your own solution, stand on the
shoulders of the inventors of Watson, the reigning Jeopardy
champ. Build your own advanced analytic applications,
parse jargon-laden text in multiple languages, and do what
your competitors cannot.
While all the hoopla is around Spark just now, there is
still a lot of MapReduce out there. Leverage IBM’s
leadership in super-computing with a low-latency, 100%
Hadoop compatible MapReduce implementation from
Platform Computing proven in audited benchmarks to
boost performance on average by a factor of four.
The whole point of Hadoop is to move the compute to the
data, but IBM takes this to the next level with native analytic
functions accessible from R, SQL and other languages.
Provide seamless access to advanced in Hadoop statistical
and machine learning functions avoiding the cost and
complexity of software development and additional tooling.
Hadoop professionals know what may surprise their
management. Most HDFS implementations are not POSIX
compliant. This means data is frequently copied between file
systems. Allow Hadoop and non-Hadoop applications to
share the same files with GPFS FPO. Reduce storage costs,
accelerate workflows, and realize other benefits as well.
It seems that everyone has a solution for R on Hadoop.
What’s unique about Big R is that it implements standard
R-language functions for parallel processing, supports
routines available from the Comprehensive R Archive
Network (CRAN), it uses standard R developer tools, and
supports advanced machine analytic functions in R.
We’re fans of Apache Solr and Lucene too and both are
fully supported in BigInsights. For customers that need to
search data in other enterprise data-sources as well, IBM
Watson Explorer may be the better mouse trap you’ve been
looking for. Build rich interfaces, and search and visualize
not just Hadoop resident data, but all your data.
Whether you are a Telco parsing CDRs, a service provider
analyzing log files, or a business incorporating social data
into your applications, IBM has you covered. Leverage
BigInsights’ easy to implement accelerators and rich
developer tools to get productive fast building high-quality
applications.
Non-production, no-limit version
of IBM InfoSphere BigInsights
http://IBM.co/QuickStart
Try it for free!