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!