Cloudera Enterprise helps you become information- driven by leveraging the best of the open source community with the enterprise capabilities you need to succeed with Apache Hadoop in your organization. Designed specifically for mission-critical environments, Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.
Attunity CloudBeam is designed for information-driven organizations who want to streamline the migration and incremental loading of Big Data across Amazon Web Services and Microsoft Azure cloud infractures. Attunity CloudBeam speeds data transfer rates and simplifies process management -- resulting in quantifiable operational improvements and information availability. Using Attunity CloudBeam, organizations are rapidly moving data projects to the cloud and accelerating the adoption of hybid cloud strategies.
Cloudera Enterprise Core is the most comprehensive solution for Hadoop in the enterprise and includes everything you need to operate Hadoop effectively — and get on the fastest path to repeatable success.
Hadoop Support for the Enterprise- Rely on EMC to provide 24x7 worldwide support with the industry’s largest Hadoop support infrastructure. Proven at Scale- Certified by EMC to remove the guesswork associated with Hadoop deployments. Pluggable Storage Options- Leverage best of breed storage options with no changes to applications.
The HP Vertica Analytics Platform enables organizations to manage and analyze massive volumes of data quickly and reliably with no limits or business compromises that typically accompany traditional enterprise data warehouses. You can also accelerate business value from a vastly expanded variety of data by exploring and analyzing of all forms of data, including “dark data. And with expanded deployment options, you get the flexibility to deploy analytics where it’s needed – on industry-standard hardware, virtual machines, or in the cloud.
Aster Database delivers a massively parallel (MPP) Analytic Platform, a software solution that embeds both SQL and MapReduce analytic processing with data stores for deeper insights on multi-structured data sources and types to deliver new analytic capabilities with breakthrough performance and scalability. Aster Database not only stores large volumes of data but also processes data and analytic applications in-database to deliver faster, deeper insights.
Scientists, developers, and many other technologists from many different industries are taking advantage of Amazon Web Services to perform big data analytics and meeting the challenges of the increasing volume, variety, and velocity of digital information. Amazon Web Services offers a comprehensive, end-to-end portfolio of cloud computing services to help you manage big data by reducing costs, scaling to meet demand, and increasing the speed of innovation.
Cleversafe’s patented object-based storage solution leverages information dispersal algorithms coupled with encryption to expand, virtualize, transform, slice and disperse data across a network of storage nodes. This limitless scale storage system stores data much more efficiently than other traditional storage systems that need to maintain multiple copies of the same data, Cleversafe’s unique information dispersal architecture uses a single instance of data with a minimal expansion of the data in order to maintain data integrity and availability.
Big data has big needs. Processing and storing enormous amounts of distributed data isn't for just any solution. Applications like Hadoop, MongoDB, Basho and Cassandra require strong I/O performance, scalability and a highly reliable infrastructure. That's why they belong on our automated bare metal dedicated servers.
Google Cloud Platform is a set of modular cloud-based services that allow you to create anything from simple websites to complex applications. Cloud Platform provides the building blocks so you can quickly develop everything from simple websites to complex applications.
Latisys’ integrated hybrid hosting solution for big data and analytics provides a cost-effective and scalable answer to exponential growth of data warehouses. Delivered on our nationwide platform, our big data hosting solution enables you to match processing power, storage tier, throughput and speed to your requirements, and provides industry-leading flexibility to right-size your infrastructure for all the performance, capacity, services and scale you will ever need.
Store billions of files and petabytes of data in a single volume with enterprise-grade data protection, efficiency, and high availability. The NetApp® enterprise content repository solution provides agile storage for big content. Based on the new Infinite Volume feature of Data ONTAP® 8, it offers you data scalability to handle massive data growth, combined with Data ONTAP storage efficiencies and enterprise reliability.
Deliver your new competitive strategy on a unified architecture that provides end-to-end data liquidity, tailored scalability, and security and privacy from the inside out. Innovate on a foundation of big data management, integration, analytics, and applications.
Big data storage enables you not only to gather large volumes of data, but also to sort, store and transfer them. Where high volume makes it difficult to make use of common data processing tools, Big Data has the capacity to search, analyze and visualize your data, regardless of the quantity. Big data is defined by volume, velocity and variety. Beyond these 3 Vs, the OVH Big Data service is also connected with a support team, experts in this technology.
Running Apache Hadoop clusters at Rackspace lets you make the most of your data. It's your choice: run Hadoop on Rackspace managed dedicated servers, spin up Hadoop on the public cloud—on virtual servers or on dedicated bare-metal Cloud Servers—or configure your own private cloud.
MoData’s Smart Data Discovery Platform combines enterprise class data logistics methods, the latest Big Data full stack components and machine learning algorithms to build a reliable and scalable data supply chain.