Corvil Introduces Disruptive Pricing Model to Network Data Analytics Space

DUBLIN, IRELAND--(Marketwired - Feb 24, 2015) - Corvil today announced a major new release of its network data analytics platform, introducing a disruptive new pricing model that will significantly lower the cost of purchasing and owning Corvil, currently used by eighteen out of the twenty top stock exchanges and global banks. Setting a new industry benchmark for network data analytics in terms of cost, performance and capability, today's release delivers a new software-defined appliance model and a series of upgraded capabilities allowing for between 40 and 80 percent cost reduction compared to the approach used by traditional network probe vendors. For more information about how Corvil enables companies to see, understand and act on business as it happens in real-time, please visit corvil.com/gigaplus.

Corvil's software-defined appliance approach allows customers to benefit from lower total cost of ownership (TCO) and the flexibility associated with a software-only model while getting the superior performance, reliability and operational simplicity of a bundled software plus hardware appliance model. The Corvil Giga+ release decouples the analytics software from the underlying bare metal appliance hardware, so that software and hardware are priced separately, with hardware sold at cost.

Customers can buy the analytics software in a modular fashion with a choice of perpetual and subscription licenses. Unlike the approach followed by traditional network performance monitoring and packet capture appliance vendors, Corvil's open software licenses are fully transferrable. Software licenses are now transferable to new third party white-box appliances, or to virtual machines in a private or public cloud without incurring additional costs. This provides 100 percent investment protection for the customer while delivering a 40 percent reduction in TCO over five years compared to the traditional approach. In addition, the introduction of an annual subscription license option delivers up to 55 percent reduction in year one costs compared to the previous pricing model.

"This is a new era for IT," said Donal Byrne, CEO of Corvil. "We believe that analysis of packet data streaming through the network will become the primary source of real-time intelligence to operate the business. However, traditional approaches to working with this source of data have proven complex and costly to deploy at scale. At Corvil, we are re-imagining this problem by leveraging the latest innovations from big data analytics, network function virtualization and cloud infrastructure."

Alongside the innovative pricing model, Corvil's new release brings new capabilities to the platform to offer the most flexible and powerful network data analytics solution designed for quickly evolving IT needs. Recent research by Gartner has shone a light on the paradigm change required in monitoring for the demands of today's IT environments:

"Today's monitoring tools were built to handle yesterday's IT infrastructures. Today's environments require monitoring with architectures that can capture and analyze big data," wrote Jonah Kowall, Research VP, Gartner. "IT operations professionals should implement tools that facilitate today's scale and tomorrow's analytical use cases."¹

Corvil's new capabilities and benefits include:

• Automated Data Discovery and Configuration for all Corvil's analytics libraries. This capability reduces the operating expense of managing a Corvil deployment by up to 80 percent through reduction in time required from IT operations and engineering personnel.
  
  
• Deep Data Buffering smoothes out bursts of network data traffic with no loss in fidelity of Corvil's network data analytics. In typical customer environments, a single Corvil appliance can now handle the same peak data rates that required up to three Corvil appliances to process prior to this new release. The deep data buffering capability results in up to 66 percent reduction in capital cost for the customer.
  
  
• Remote Data Analytics allows data flows from remote locations to be forwarded to Corvil installations in central datacenters for analysis while still preserving sub microsecond accurate measurements -- no need for appliances at every remote location. The centralization of Corvil data analytics can save up to 80 percent of cost compared to instrumenting remote sites.
  
  
• Legacy Network Packet Capture and Analysis allows network engineers to use proven workflows with PCAP files. Legacy tools such as WireShark, Tshark, and Berkeley Packet Filtering are now supported. This allows customers to consolidate traditional network monitoring and packet capture use cases into the Corvil platform saving up to 45 percent in capital expenditure.
  
  
• Lower Cost, Higher Capacity Engines For Multiple 10Gb/s Ports, delivering performance improvements and lower costs for analyzing data from multiple 10Gb/s network links. Corvil now offers a 40Gb/s analytics engine at 44 percent lower cost.
  
  

Corvil has enabled customers across various industries to leverage their network data in powerful new ways. Because the network sits at the nexus of every modern business transaction, it can be used to see, understand and act on all activity of the business.

For more information about Corvil, or to contact a Corvil representative, please visit corvil.com/gigaplus.

Learn more about Corvil: Corvil.com | Twitter | LinkedIn | Facebook

¹Gartner, Monitoring Must Evolve to Meet Tomorrow's Demands, Jonah Kowall, 28 July 2014

About Corvil
Corvil is the network data analytics company for business in the Now™. The Corvil platform transforms network data into streaming intelligence to see, understand and act on business as it's happening. Corvil provides the full picture of customers, business and IT infrastructure all interacting together in real-time. It does this by making sense of the raw packet data streaming through the network, enriching it with analytics and making it accessible, searchable and consumable. Corvil is built to handle the low-latency, high-performance and big data analytics requirements for the world's most demanding real-time businesses. It is used to monitor over 50 petabytes of data and over $170 billion worth of transactions per day, and is trusted to provide real-time analytics that powers decision and action in the Now.