Independent Research Firm Unveils New Study that Identifies Data Center-to-Data Center WAN Connectivity as a Major Impediment for Big Data Deployments

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Research by IRG Confirms Next Gen WAN Optimization Solutions Will Be Critical For Realizing the Promise of Big Data in the Enterprise

Infineta Systems, the first and only provider of WAN optimization systems for Big Traffic workflows, today released the findings of a new research report that examines the intersection of Big Data and the enterprise WAN. Conducted by Infineta in collaboration with Internet Research Group (IRG), an independent analysis and research firm, the report looks in-depth at large organizations leveraging Big Data to make better business decisions, and identifies several emerging trends that are poised to become barriers to the adoption of Big Data technologies. Drawing on real-world customer use cases and extensive customer surveys, the research also validates that the WAN is a critical component of a distributed Big Data strategy and that breakthrough WAN optimization technologies are essential for the enterprise to fully harness the power and promise of Big Data.

“Prior to this study, there was very little insight into the ability of existing WAN infrastructure to sustain the runaway growth of Big Data,” stated Raj Kanaya, CEO and co-founder of Infineta Systems. “Our collaborative research effort with IRG provides solid insights into the intersection of Big Data and the WAN, and how enterprises need to plan for and equip their infrastructure so they see material business benefits of Big Data sooner.”

Big Data is the newest driver behind Big Traffic workflows traversing enterprise networks and refers to data sets that are not well suited for traditional storage or analytics systems. An estimated 80-90% of Big Data is comprised of semi- or unstructured data, unlike the structured data found in conventional data sets. In addition, Big Data is characterized by aggregate volumes in the 100s of terabytes to petabytes of distributed data. Indeed, mission-critical data sets are doubling or tripling in size every two years on average, with Gartner forecasting that enterprise data will grow approximately 800% by 2015.

Why Big Data Matters
Big Data heralds enormous change and untapped value for the enterprise, as new technologies emerge to handle Big Data analysis, presentation, management, and distribution. Key drivers behind these technologies include:

  •     Storage Pricing: Of particular significance is Big Data’s disruptive pricing, which significantly reduces the cost of enterprise-class data storage. Big Data storage promises to be 25-100x cheaper than traditional storage, making it an extremely attractive alternative for vertical markets that are experiencing uncontrollable data growth.
  •     Storage Scalability: Big Data technologies massively increase the scalability of data storage. Hadoop, for example, enables companies to add petabytes of additional storage capacity for a fraction of traditional storage costs. The compound effect of hugely reduced costs and massive scalability makes it that much easier for enterprises to adopt Big Data as a key storage solution for their data sets.
  •     Data Analysis: Big Data technologies provide enormous business value by enabling companies to use a greater percentage of their data than is possible with conventional technologies. Currently, only 1-5% of unstructured data collected outside of Big Data deployments is actually analyzed. According to a recent McKinsey Big Data Report, if the healthcare industry, for example, could collect and act upon the other 95% of uncaptured data, it could add value of up to $300 billion annually.

“The journey to Big Data starts simply with Open Source software and a few virtual servers. Unsurprisingly, however, the journey to Big Data also requires careful system engineering to reach production capability,” said Peter Christy, co-founder of Internet Research Group. “Infineta is leading the industry in recognizing that Big Data’s disruptive growth in enterprise storage is bound to lead to Big Traffic for many enterprises. In providing guidance on how high-performance optimization technologies can be used to optimize Big Data traffic over the WAN, Infineta is emerging as a thought leader.”

The Silent Killer: Enterprise WAN Infrastructure Stretched to the Breaking Point
When deployed in production environments, Big Data workflows traverse the WAN as data is collected from a number of sources. Information collection may be in the form of web server logs to analyze customer behavior on an Internet property, medical records for better patient care, or market data for better equity acquisition decisions. In all of these scenarios, the WAN enables the aggregation of data for analysis, and the subsequent distribution of results, for better business decisions.

Despite its enormous promise, the rise of Big Data is creating urgent IT problems, forcing enterprises to fundamentally rethink their current LAN and WAN infrastructures in order to fully realize the potential of Big Data.

  •     Huge Demand for Bandwidth: Because it drives data aggregation, processing, and results distribution, Big Data generates massive amounts of new data – measured in petabytes – that in turn require more and more bandwidth. In many cases, companies are being forced to cap Big Data traffic before it hits the WAN in order to avoid massive application performance issues and debilitating WAN congestion.
  •     Lack of Bandwidth Hammers the WAN: Big Data’s massively increased demand for bandwidth will put a tremendous burden on an already-congested WAN infrastructure, seriously compromising performance and reliability.
  •     Big Data Adoption Spurs Widespread Enterprise Pain: Enterprises across the board will be afflicted by WAN bandwidth and latency problems as Big Data continues to gain traction. As part of their research, Infineta and IRG formulated the “Big Data Customer Maturity Model”, which suggests that a large number of customers who are currently experimenting with Big Data technologies today will be moving into full production in the next 18 months. Widespread adoption is expected fastest in select verticals such as large Internet properties, social networking and financial services companies.
  •     Existing Technologies Unsuitable for Big Data: Designed strictly for low-capacity branch WAN traffic, traditional WAN optimization solutions cannot scale to meet Big Data-specific WAN throughput and performance needs, or address the inter-data center WAN bottleneck. Furthermore, purchasing additional WAN bandwidth to alleviate infrastructure pressures is extremely expensive in terms of both CAPEX (WAN equipment upgrades) and OPEX (incremental bandwidth costs), and does nothing to address performance degradation due to WAN latencies.

A High-Performance Networking Approach to Accelerating Big Traffic Workflows
To meet the challenges of Big Data and other high-speed traffic over the WAN, the traditional, server-based approach falls short on many fronts. For inter-data center workflows that run at multi-Gbps speeds, demand low end-to-end latency, and require the highest level of performance improvement, a new breed of WAN optimization solutions is needed. Infineta is the first and only company to meet the Big Traffic challenge by taking a hardware-based approach to accelerate all traffic traversing inter-data center WANs.

While Infineta’s flagship product, the Data Mobility Switch (DMS), remains ideal for optimizing high-speed replication and backup traffic for storage and server virtualization, and business continuity/disaster recovery initiatives, it is also the only WAN optimization solution designed specifically to optimize high-capacity, Big Data implementations. The DMS is a merchant-silicon based system that can scale to 10 Gbps speeds, supports very high per-connection throughput, and introduces port-to-port latencies of approximately 50 microseconds.

Because it supports enormous traffic growth without requiring any WAN upgrades, Infineta’s DMS also provides companies with significant savings in both equipment upgrades and bandwidth costs, and offers a typical return on investment in a sub-year timeframe.

About IRG
The Internet Research Group(IRG) provides market research and market strategy services to product and service vendors. IRG services combine the formidable and unique experience and perspective of the two principals: John Katsaros and Peter Christy, each an experienced industry veteran. The overarching mission of IRG is to help clients make faster and better decisions about product strategy, market entry, and market devel­opment. Katsaros and Christy published a book on high tech business strategy, “Getting It Right the First Time” – Praeger, 2005.

About Infineta Systems
Based in San Jose, California, Infineta Systems is a privately-held, leading provider of WAN optimization systems for Big Traffic. The company’s patent-pending Velocity Dedupe Engine™ delivers unprecedented levels of throughput, scalability and bandwidth capacity to support critical machine-scale workflows across the data center interconnect. Its flagship product, the Infineta Data Mobility Switch, accelerates multi-gigabit BCDR (business continuity/disaster recovery), cross-site virtualization, and Big Data traffic. The company is backed by Rembrandt Venture Partners, Alloy Ventures and North Bridge Venture Partners. For more information, visit

Infineta, Infineta Systems, Data Mobility Switch, and Velocity Dedupe Engine are trademarks or registered trademarks of Infineta Systems, Inc., in the U.S. All other product and company names herein may be trademarks of their respective owners.


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