Hadoop Hardware and Popular Niche Choices You Need to Know

Published On : 12 Jul 2018

The global Hadoop hardware market is anticipated to find growth due to important applications in industries such as telecommunication, banking and finance, and healthcare. Among various products offered in the market, network, storage, and serve equipment could gain stronger demand in the coming years. Running Hadoop JobTracker and NameNode, the management nodes are observed to take advantage of a bit more RAM, RAID redundancy, enterprise-grade disks, and more dependable power supplies.

It could be a common scenario to find white box servers purchased in high volumes by Fortune 500 giants at a US$2.5 k a crack from OEMs with no name. Nonetheless, it could be more typical of an average firm to work with IBM, HP, Dell, Cisco, and other Tier 1 companies since they now provide servers that are specially configured for Hadoop reference architectures for Hadoop distributions such as MapR, Hortonworks, and Cloudera.

11 Leaders of Hadoop Hardware Market

Below are some interesting options for Hadoop hardware.

SeaMicro SM 15000 Fabric Compute System: Offered by AMD, this is a high-density, low-power Hadoop system with Hortonworks and Cloudera-certified configurations. The company bets that power consumption would come out as a rising factor in Hadoop TCO.

SGI InfiniteData Cluster: As per the company, analytics performance boost of a decent 48% is delivered by the system’s core-to-spindle ratio of 1:1 over more classic clusters with 3:1 ratio.

Cray CS300 Cluster Supercomputers: As addressed by the company, Hadoop deployments that carry a “high value” could be handled by these supercomputers which are specially adapted for the task.

Teradata: It offers three Hadoop hardware deployment choices, i.e. Teradata Aster Big Data Appliance, Teradata Appliance for Hadoop, and Teradata Commodity Offering for Hadoop.

Pivotal Data Computing Appliance: It supports EMC’s both Greenplum MPP database and Pivotal HD Hadoop distribution’s modular deployments within a single clustered platform, or even their individual modular deployments.

Oracle Big Data Appliance: Blending Hadoop and NoSQL, it offers a 1/3 rack buying alternative where buyers could start with a simple cluster, add racks, and build out the cluster as and when required.

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Supermicro: It offers preconfigured cluster racks 42U and 14U which show its aggressiveness in the big data arena, although it may not have a Tier 1 identity.

x86: These servers are said to be the name of the game which concerns Hadoop.

DL380e and DL360p: These are researched to be among HP’s choice servers for Hadoop deployments. For data nodes, DL380e servers are deemed fit and for management and head nodes, DL360p. The company supplies hardware for Microsoft Analytics Platform System and Microsoft HD Insight appliances.

R720XD: This disk-intensive server offered by Dell is designed for big data Hadoop deployments.

Unified Computing System (UCS) by Cisco: Cisco provides reference architectures for Hortonworks and Cloudera Hadoop distributions besides MapR.

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