Containers Expo Blog Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui, Elizabeth White

News Feed Item

BlueData Pioneers Big Data Private Clouds With Launch of EPIC Enterprise

Democratizes Big Data; Allows Enterprises of All Sizes to Build 100 Node Hadoop and Spark Clusters in Less Than 10 Minutes at a Fraction of the Cost

MOUNTAIN VIEW, CA -- (Marketwired) -- 09/17/14 -- BlueData, the pioneer in Big Data private clouds, today launched EPIC™ Enterprise, the industry's first Big Data software to enable enterprises to create a self-service cloud experience on premise. The EPIC platform is powered by BlueData™ patent-pending technology, including DataTap™ and IOBoost™, which eliminates time-consuming data movement and unnecessary data duplication without compromising performance. With the release of EPIC, BlueData is democratizing Big Data by streamlining and simplifying Big Data infrastructure and eliminating complexity as a barrier to adoption. Enterprises of all sizes can now build agile, secure and cost-effective Big Data deployments that deliver value in days instead of months and at a cost savings of 50%-75% compared with traditional approaches. By making Big Data accessible to all, enterprises can get the same value out of their on-premise Big Data as companies like Google, Facebook and Yahoo at a fraction of the cost, and with far fewer resources.

BlueData is also announcing the availability of EPIC One, a full-featured community edition, which allows users to experience the power of multi-app, multi-version instant clusters on a single physical node. Visit www.bluedata.com to download the community edition. For more information, contact [email protected].

"Ninety percent of Wikibon practitioners tell us they plan to shift workloads from traditional data warehouse platforms to Hadoop," said David Vellante, chief research officer of Wikibon. "However, complexity remains a major adoption barrier for their organizations because they often lack sufficient budget, skills and resources to get the job done. BlueData's EPIC platform directly attacks this problem and can make Big Data a reality by delivering the ability to work with any storage, any server and any application within a private cloud infrastructure."

TWEET THIS:[email protected] Launches EPIC, First #Virtualized #BigData Infrastructure to Democratize Big Data http://bit.ly/YQM9QF

"BlueData EPIC, working with Red Hat infrastructure technologies, is set to improve the Big Data consumption experience and allow enterprises the opportunity to realize the value of Big Data more quickly," said Mike Werner, senior director of Global Technology Ecosystems, Red Hat. "BlueData EPIC, working with Red Hat infrastructure technologies, is set to evolve the Big Data consumption experience and allow enterprises the opportunity to realize the value of Big Data more quickly."

Infrastructure used today for Big Data was not purpose-built to handle Big Data workloads or the needs of data scientists. It is extremely rigid, complex and expensive. While technology organizations have had early success and have worked around the infrastructure issues, enterprises whose core business is not technology require a more flexible, cost-effective approach that does not rely on large engineering staffs or big budgets. While many enterprises have started Big Data projects, many have not moved beyond pilot projects because of infrastructure complexity and cost. In fact, Gartner predicts that 85 percent of the Fortune 500 will fail to see a competitive advantage from their Big Data initiatives by the end of 2015.

"Our research shows that 82 percent of CIOs believe Big Data platforms promise significant business value, while only 5 percent said they deployed the technology. This gap leaves plenty of room for growth," said Doug Fisher, vice president and general manager of Intel Software and Services Group. "We believe that BlueData offers a Big Data infrastructure platform with differentiating data virtualization capability to bridge that gap and help proliferate Big Data adoption within enterprises."

With this announcement, BlueData is making Big Data accessible to companies of all sizes, allowing them to create flexible and scalable on-premise production and test environments where people can work with, and experiment with, a variety of Big Data applications. With the BlueData EPIC software platform, organizations can create flexible and scalable on-premise production and test environments where people can work with a variety of Big Data applications and iterate quickly with full control.

"BlueData's EPIC allows our IT group to be more responsive to Big Data business needs. The EPIC platform offers self-service provisioning and the ability to use different applications such as Hadoop and Spark simultaneously," said Xavier Quintuna, principal Big Data architect at Orange Silicon Valley, the wholly-owned U.S. subsidiary of telecommunications operator Orange. "Now our data scientists can spin up their own environments within the on-premise Orange Silicon Valley private cloud in a matter of minutes, improving their productivity. Finally our Big Data insights are available in a time frame that allows us to have real business impact."

The EPIC Platform

EPIC is a software platform that organizations deploy on commodity hardware to create a Big Data Private Cloud. With EPIC, IT can deliver Big Data as a high-performing on-premise service to run any distributed application using any server with any storage. They can also provision, manage and administer their Big Data infrastructure through a role-based web portal, which transforms the consumption experience.

The BlueData platform incorporates many patent-pending technologies to deliver self-service, speed and scale.

  • DataTap: eliminates time-consuming data movement and data duplication.
  • IOBoost: delivers extreme performance through application aware caching and tiering.
  • ElasticPlane™: enables self-service, multi-tenant clusters using hypervisor and next generation container technologies.

Enterprise Data Lakes and Data Hubs

Enterprise data lakes and data hubs offer unlimited storage and easy data access. However security, data management and governance are unresolved concerns that are barriers to adoption. With BlueData DataTap, enterprises have the choice to tap the data lake or the data source directly if moving the data to the lake is not an option. And, with IOBoost, performance is not a concern.

"Like most enterprises, we are starting to investigate the value proposition that Big Data offers. A major enabler to this is developing capabilities in your infrastructure that allows quick, seamless and secure access to data and compute resources," said the head of infrastructure innovation at a major pharmaceutical company. "Testing with BlueData's EPIC platform, we were able to accelerate our learning curve and quickly stand up test platforms to explore data across multiple sources without having to rely solely on moving data."

Expansive Support for the Big Data Ecosystem

The Blue Data EPIC platform supports Hadoop 1.0, YARN, MapReduce, Hive, Pig, HBase, Impala and Spark. With BlueData EPIC, users choose the data set, choose the app, choose resources and go. Through BlueData's extensive network of technology and consulting partners including Cloudera, Databricks, Hortonworks, Red Hat and MetaScale, enterprises have access to the broad Big Data ecosystem.

"By launching the EPIC platform for cloud-based Big Data solutions, BlueData is helping make Hadoop enterprise ready with a simple and flexible deployment alternative," said John Kreisa, vice president of strategic marketing at Hortonworks. "BlueData is certified to integrate with the Hortonworks Data Platform 2.1 and together we can help our customers create Hadoop clusters in mere minutes to run their workloads immediately, accelerating the benefits of advanced, Big Data-based insight. We look forward to continuing our joint efforts to make it easier for enterprises of all sizes and shapes to derive value from open source Apache Hadoop."

"There is a lot of confusion, complexity and uncertainty around Big Data applications, platforms and deployment models, combined with how to leverage existing infrastructure investments. This has kept a huge swath of the enterprise market on the sidelines," said Kumar Sreekanti, CEO and founder of BlueData. "Enterprises need a platform on which they can experiment with existing and emerging Big Data technologies and then deploy the technologies of choice at scale. Our vision is to make Big Data accessible to enterprises of all sizes. Our DataTap and IOBoost technology transforms existing infrastructure into an agile Big Data private cloud that allows organizations of all sizes to get more from their data."

BlueData today also announced that it has joined the Hortonworks Technology Partner program and has received Hortonworks Certification for BlueData's EPIC platform. Visit http://www.bluedata.com/news/hortonworks-release for more information.

About BlueData
BlueData is the pioneer in Big Data private cloud. The company is democratizing Big Data by streamlining and simplifying Big Data infrastructure and eliminating complexity as a barrier to adoption. With its EPIC software platform, enterprises can now build agile, secure and cost-effective Big Data deployments that deliver value in days instead of months and at a cost savings of 50%-75% compared to traditional approaches. With BlueData, enterprises of all sizes can create a public cloud-like experience from their on-premise environments and get the same value out of their Big Data as companies like Google, Facebook and Yahoo at a fraction of the cost and with far fewer resources. Based in Mountain View, CA, BlueData is founded by a highly experienced team from VMware, Akamai, Intel and SGI and backed by industry luminaries from Silicon Valley.

Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2679316

Press Contact
Kristina Richmann
Trainer Communications
Email Contact

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...