Formerly known as Wikibon

Cloud and Big Data Upending IT Stalwarts

IBM’s annual revenue last year dropped below $100 billion for the first time since 2010. The company’s fourth quarter results were particularly weak, coming in 5.5% below expectations. This was due in large part to IBM’s struggling hardware business, with revenue dropping a staggering 27%. Much of the blame can be attributed to the cloud, or I […]

Cloud and Big Data Upending IT Stalwarts

IBM’s annual revenue last year dropped below $100 billion for the first time since 2010. The company’s fourth quarter results were particularly weak, coming in 5.5% below expectations. This was due in large part to IBM’s struggling hardware business, with revenue dropping a staggering 27%. Much of the blame can be attributed to the cloud, […]

How Convergence Moves From Tactical Savings to Strategic Foundation

See Wikibon’s software-led infrastructure page for more on how converged infrastructure fits into the SDDC at Wikibon.com/SLI. Converged Infrastructure Moving to Early Majority The growth of converged infrastructure solutions is impossible to miss in conversations across the marketplace (see videos from the recent VMworld conference). Customers, however, are not looking to buy “convergence”; rather, IT is […]

Time to Create a Hypervisor Strategy

While VMware is still dominant in the x86 server virtualization market, there are clear signs that the hypervisor is being commoditized and that competing solutions are closing the functionality gap. Over half of respondents to Wikibon’s survey last year were running multiple hypervisors. Wikibon is digging deeper into customer adoption including both multi-hypervisor environments and […]

Sizing Up Google Compute Engine, Amazon AWS and the Cloud Field

Web Giant Targets the Cloud Google has spent the last 14 years building one of the largest networks and most scalable architectures in the world. The Google Compute Engine (GCE) is a public cloud now generally available that brings Google’s architecture to the masses. While it is undeniable that Google has immense resources (having spent […]

Big Data Database Revenue and Market Forecast, 2012-2017

The research behind this article drills down into the database components, Big Data SQL database revenue, and Big Data NoSQL database revenue. The total represents 10.4% of total Big Data in 2012, and remains at about 10% of total through 2017.

Rack Level Architectures and Hyperscale Operations

Last week at the Open Compute Summit Winter 2013 event, Facebook shared insight into its IT infrastructure. While hyperscale companies like Google, Amazon, and Facebook are quite different from the typical enterprise, it is Wikibon’s belief that those companies are driving key changes to how infrastructure is consumed that will filter down to the service provider […]

The Big Data Manifesto

Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs and for good reason. Effective business analytics – from basic reporting to advanced data mining and predictive analytics — allows data analysts and business users alike to extract insights from corporate data that, when translated into action, deliver higher levels of efficiency and profitability to the enterprise.
Underlying every business analytics practice is data. Traditionally, this meant structured data created and stored by enterprises themselves, such as customer data housed in CRM applications, operational data stored in ERP systems or financial data tallied in accounting databases. But the volume and type of data now available to enterprises — and the need to analyze it in near-real time for maximum business value — is growing rapidly thanks to the popularity of social media and networking services like Facebook and Twitter, data-generating sensor equipped and networked devices, both machine- and human-generated online transactions, and other sources of unstructured and semi-structured data. We call this Big Data.

Book A Briefing

Fill out the form , and our team will be in touch shortly.
Skip to content