PHP Authors: Liz McMillan, Carmen Gonzalez, Hovhannes Avoyan, Lori MacVittie, Trevor Parsons

Blog Feed Post

Cloudera and Cleversafe: A Strategic Combination For Enterprise IT


Cloudera and Cleversafe are totally different companies addressing different challenges. But the two firms have quite a bit in common. Here are key commonalities I’ve observed:

  • Both invest in real engineering and deliver enterprise-grade/quality capabilities
  • Both are proven to work at scale (including very large scale when required)
  • Both are led by CEOs that are highly regarded by their peers and the community, and both CEOs are very likeable people (I’ve met and worked with both Mike Olson and Chris Gladwin).
  • Both have used the services of my firm, Crucial Point (and that is most appreciated by me, by the way!).
  • Both are in the In-Q-Tel portfolio and are known to the national security community because of that.
  • Both firms partner with Carahsoft (which is, by the way, another strategic partner of Crucial Point’s).
  • Both are key thought leaders in the domain of Big Data, with Cloudera being known for its open source distribution of Apache Hadoop (CDH4) and their management capabilities over CDH, and Cleversafe being known for their fielding of modern object storage with the lowest cost/TB of any system on the market plus agile access and impressive I/O.
That said, these two firms really address different areas of enterprise data needs, and have built different capabilities that can be used by enterprises to address separate aspects of Big Data challenges.
Which is part of the reason I was excited to learn of cooperation between these two firms. When firms addressing different parts of a hard challenge collaborate it can mean great things for enterprise missions.
Here are a few thoughts on the nature of a well engineered solution that came from their work together:
  • In July 2012, Cleversafe announced that the are now working with Cloudera’s Distribution including Apache Hadoop (CDH) for new capabilities that enable the benefits of Cleversafe’s data storage and security with the power of MapReduce.  With this well engineered combination, the data for an enterprise is not stored in HDFS.  The benefits of HDFS are already provided by other Cleversafe functionality, so there is already fault tolerance and speed, for example. But even greater benefits are provided through this well engineered solution, including the elimination of single points of failure without the need for HDFS’s complete/multiple replication.
  • So basically you can store data using Cleversafe technology and get all the benefits there, and can run MapReduce jobs over the data leveraging Hadoop without using HDFS.
  • This well engineered solution enables data to be stored in conventional format on nodes where it is expected to be used for computation and enables MapReduce operation. This comes with the many other benefits of Cleversafe, including the ability to protect data without the overhead of massive network traffic and costly backup storage. It also removes challenges with Namenode issues since a Cleversafe cluster’s accesser nodes federate and cover for each other.
  • The bottom line result of this Cleversafe leveraging of Cloudera’s CDH:  Incredible cost benefits, fantastic disaster recovery/continuity of operations features, fast access to data from multiple locations, and an ability to run MapReduce jobs and leverage Hadoop-centric applications without using HDFS.
I liked the context provided by Andrew Brust at zdnet.com on this topic. He writes that:

Cleversafe swaps out HDFS
Assuming it works as advertised, Cleversafe’s company name is a fair reflection of its Hadoop architecture.  While other HDFS alternatives exist for Hadoop (for example, MapR‘s Hadoop distro, which can mount HDFS-compatible NFS volumes), Cleversafe’s Slicestor appliance nodes retain HDFS’ distributed nature and maintain fault tolerance too.  Cleversafe does this with “information dispersal” slices: spreading the data around different nodes in the cluster, employing Erasure Coding – a scheme that allows reconstruction of data from a subset of storage nodes, and eliminates single points of failure without the overhead of HDFS’ complete replication.

Meanwhile, the data is also stored in conventional format on the nodes where it is expected to be used for computation.  The conventional storage assures fast MapReduce operations, and the striped storage assures fault tolerance, without the need (and network traffic and management overhead) to keep multiple full copies of the data.

Namenode issues disappear as well, since a Cleversafe cluster’s accesser nodes federate and cover for each other, and the meta data is split up along with the data itself.  Although various high availability namenode technologies are appearing in the major Hadoop distributions now, they nonetheless still use a single central namenode at any given time.  Keeping a warm spare around is not the same thing as having meta data/directory services responsibilities shared among a collection of active nodes.

Although Cleversafe clusters are appliance-based, the appliances nonetheless use commodity processors and  storage.  The added value comes from tuning and optimization, and the unique storage software subsystem.  Cleversafe storage runs about $500 per Terabyte, and can be less depending on total storage size.  On the MapReduce side, Cleversafe uses Cloudera’s Distribution Including Apache Hadoop (CDH).

For more information see this July 2012 press release from Cleversafe:

Cleversafe First to Deliver Breakthrough Capabilities for Combined Storage and Massive Computation

First System to Support Storage and Analysis of Datasets at Previously Unattainable Scale with Unparalleled Reliability and Efficiency

Chicago, July 10, 2012 – Cleversafe Inc., the solution for limitless data storage, today announced plans to build the first Dispersed Compute Storage solution by combining the power of Hadoop MapReduce with Cleversafe’s highly scalable Object-based Dispersed Storage System. This solution will significantly alter the Big Data landscape by decreasing infrastructure costs for separate servers dedicated to analytical processes, reducing required storage capacity, and simultaneously improving data integrity. In addition, the company’s solution will reduce network bottlenecks by bringing together computation and storage at any scale, petabytes to exabytes and beyond.

Traditional storage systems are not designed for large-scale distributed computation and data analysis. Present implementations treat data storage and analysis of that data separately, transferring data from Storage Area Networks (SANs) or Network Attached Storage (NASs) across the network to perform the computations used to gather insight. In this manner the network quickly becomes the bottleneck, making multi-site computation over the WAN particularly challenging. Cleversafe solves this problem by combining Hadoop MapReduce alongside its Dispersed Storage Network (dsNet) system on the same platform and replacing the Hadoop Distributed File System (HDFS) which relies on 3 copies to protect data with Information Dispersal Algorithms thereby significantly improving reliability and allowing analytics at a scale previously unattainable through traditional HDFS configurations.

“For any company, the movement, management and storage of massive data stores for analytical purposes is already unmanageable,” said Chris Gladwin, CEO and President of Cleversafe. “Many companies have had to invest significant resources in both CAPEX and OPEX to manage the challenge of Big Data and to try and capitalize on the opportunity to gather insights from that data,” said Gladwin. “The key to reducing both cost and complexity is to combine computation with dispersed storage,” said Gladwin. “Cleversafe’s solution will provide infinitely scalable, reliable, and cost effective storage for data to support massive computation while enhancing the analysis workflow.”

Hadoop MapReduce, which is already being used broadly throughout the industry, represents only a partial solution to this problem. While it lends itself naturally to enabling computations where the data exists rather than transferring data to computation nodes, it has inherent scalability and reliability limitations. Current HDFS deployments utilize a single server for all metadata operations and 3 copies of the data for protection. Failure of the single metadata node could render stored data inaccessible or result in a permanent loss of data. Maintaining 3 copies of data at massive scale for protection leads to skyrocketing overhead and management costs.

Cleversafe’s dsNet system protects both data and metadata equally and is inherently more reliable. By applying the company’s unique Information Dispersal technology to slice and disperse data, single points of failure are eliminated. As data is distributed evenly across all Slicestor nodes metadata can scale linearly and infinitely as new nodes are added, thus reducing any scalability bottlenecks and increasing performance. Cleversafe’s unique approach delivers the powerful combination of analytics and storage in a geographically distributed single system allowing organizations to efficiently scale their Big Data environments to hundreds of petabytes and even exabytes today.

“There isn’t an industry today that’s untouched by Big Data or a company that wouldn’t benefit from the intrinsic value of that data if they could collect, organize, store and analyze it in a cost-effective manner,” said John Webster, Senior Partner at Evaluator Group. “Cleversafe’s approach to combining dispersed storage and Hadoop for analytics is a groundbreaking step for the industry and for any company to effectively bridge storage and large-scale computation,” said Webster.

No market segment has a more critical need to harness Big Data than the Government sector. Lockheed Martin is partnering with Cleversafe to develop a federal version of the Cleversafe Dispersed Compute Storage solution designed for the unique needs of federal government agencies.

“By combining the power of Hadoop analytics with Cleversafe’s Object-based Dispersed Storage solution, government entities will be able to significantly reduce their total cost of infrastructure as the amount of their mission critical data grows,” said Tom Gordon, CTO & VP of Engineering of Lockheed Martin’s Information Systems and Global Solutions-National. “The Federal community has been out in front of Big Data, well ahead of many other market segments, and needs technology solutions today that are well suited for Exabyte scale storage as well as massive computation,” said Gordon. “Taken Cleversafe’s approach with Hadoop across commodity hardware, these features deliver a new approach to bring the true potential of Big Data analytics into reach.”

Cleversafe’s object-based storage solution is 100 million times more reliable than traditional RAID-based systems and it doesn’t rely on replication to protect information. Its information dispersal capabilities reduce storage costs up to 90 percent while meeting compliance requirements and ensuring protection against data loss, whether it’s latent hardware errors, data corruption or malicious threats. With the combination of limitless scale, highly reliable storage and efficient analytics in the same platform, Cleversafe is solving the most challenging Big Data problems for customers in a very efficient manner.

Tweet This: @Cleversafe to build first storage-based compute solution based on its dsNet solution and Hadoop MapReduce.

About Cleversafe Inc.

Cleversafe has created a breakthrough technology that solves petabyte and beyond big data storage problems. This solution drives up to 90 percent of the storage cost out of the business while enabling secure and reliable global access and collaboration. The world’s largest data repositories rely on Cleversafe. To learn more about Cleversafe and its solutions, please visit www.cleversafe.com, call 312-423-6640 or email us at [email protected].




Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

@ThingsExpo Stories
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
DXWorldEXPO LLC announced today that ICOHOLDER named "Media Sponsor" of Miami Blockchain Event by FinTechEXPO. ICOHOLDER give you detailed information and help the community to invest in the trusty projects. Miami Blockchain Event by FinTechEXPO has opened its Call for Papers. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Miami Blockchain Event by FinTechEXPO also offers s...
DXWorldEXPO | CloudEXPO are the world's most influential, independent events where Cloud Computing was coined and where technology buyers and vendors meet to experience and discuss the big picture of Digital Transformation and all of the strategies, tactics, and tools they need to realize their goals. Sponsors of DXWorldEXPO | CloudEXPO benefit from unmatched branding, profile building and lead generation opportunities.
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...
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...
DXWorldEXPO LLC announced today that "Miami Blockchain Event by FinTechEXPO" has announced that its Call for Papers is now open. The two-day event will present 20 top Blockchain experts. All speaking inquiries which covers the following information can be submitted by email to [email protected] Financial enterprises in New York City, London, Singapore, and other world financial capitals are embracing a new generation of smart, automated FinTech that eliminates many cumbersome, slow, and expe...
Cloud Expo | DXWorld Expo have announced the conference tracks for Cloud Expo 2018. Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DX Expo within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive ov...