Cluster Computing Market Growth at a Highest Rate with Forecast 2020-2024 | IBM, AWS, SGI, HP, Google, Microsoft, Cisco, Dell, Intel, Lenovo

The growing demand for Cluster Computing has provided a major boost to the Global Cluster Computing Market as more people are shifting their preferences to this growing sector. The market is expected to keep rising at a high CAGR and reach values of high millions by the end of the forecast period of 2020 up to 2024.

Overview of Global Cluster Computing Market:

A computer cluster is a set of loosely or tightly connected computers that work together so that, in many respects, they can be viewed as a single system. Unlike grid computers, computer clusters have each node set to perform the same task, controlled and scheduled by software.

The report contains a complete product overview and its scope in the market to define the key terms and provide the clients a holistic idea of the market and its tendency. It comprehensively evaluates the global Cluster Computing market with different perspectives for the purpose of providing a detailed, informative, and accurate analysis of regional growth, competition, market segmentation, and other important aspects.

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Growth in the historic period resulted from economic growth in emerging markets, the rise in awareness of the benefits and developed nations towards Cluster Computing costs and an increase in the number of set of loosely or tightly connected computers that work together.

Product Type Segmentation:
The Cluster Computing market have different product type such as On-premises and Cloud-based. Cluster Computing market product type gives set of loosely or tightly connected computers that work together.

Industry Segmentation:

Increasing instances across various sectors such as Life Science, Industrial Manufacturing, Banking, Defense, Gaming Industry/Retail are raising the need of cluster computing institutes, thereby raising the demand for Cluster Computing market. This help in the profitable growth of the Global Cluster Computing market in upcoming year.

Segmentation by Regions:

The Cluster Computing market in North America has created set of loosely or tightly connected computers that work together to help cluster computing institute in the world. It was followed by Western Europe, China, Japan, Southeast Asia, India and Central & South America regions. Asia Pacific is expected to record higher growth rate in Cluster Computing Market during the forecast year.

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Top Leading Key Manufacturers are: IBM, PSSC Labs, Silicon Graphics International (SGI), Intel, Dell, Hewlett Packard, Amazon Web Services, Bright Computing, Google, Microsoft, Advanced Micro Devices, Cisco Systems, TotalCAE, Cray, Cepoint Networks, Lenovo, Penguin Computing, Nor-Tech, RackMountPro. New product launches and continuous technological innovations are the key strategies adopted by the major players.

Top Industry News:

AWS Announces General Availability of UltraWarm for Amazon Elasticsearch Service on 05 May, 2020 -- Today, Amazon Web Services, Inc. (AWS), announced the general availability of UltraWarm for Amazon Elasticsearch Service, a new, highly performant, fully managed, low-cost warm storage tier that provides fast, interactive analytics of log data at one-tenth the cost of existing storage options. Amazon Elasticsearch Service makes it simple to collect, analyze, and visualize machine-generated log data from websites, mobile devices, and sensors. UltraWarm for Amazon Elasticsearch Service gives Elasticsearch customers a warm storage tier that both stores large amounts of data cost-effectively and provides the type of snappy, interactive experience that Elasticsearch customers expect. There are no up-front investments required to use UltraWarm, and customers pay a simple hourly rate for the storage provisioned.

As more and more applications are built using microservices, containers, and purpose-built data stores, the volume of machine-generated log data is growing exponentially. Real-time analysis of this data has become essential to customers in order to quickly resolve operational and security issues. Amazon Elasticsearch Service is a popular service for log analytics because of its ability to ingest high volumes of log data and analyze it interactively. With this explosive growth of log data, storing and analyzing months' or even years' worth of data is cost-prohibitive at scale. This has led customers to use multiple analytics tools, or delete valuable data, missing out on important insights that the longer-term data could yield.

To solve for this customer challenge, AWS built UltraWarm, which gives Elasticsearch customers a warm storage tier that both stores large amounts of data cost-effectively, and provides the type of snappy, interactive experience that Elasticsearch customers expect. Now Amazon Elasticsearch Service supports two storage tiers, hot and UltraWarm. The hot tier is used for indexing, updating, and providing the fastest access to data. UltraWarm provides a distributed cache for more frequently accessed data, while using advanced placement techniques to determine the blocks of data that are accessed less frequently, and can be moved outside of the cache to Amazon Simple Storage Service (Amazon S3). UltraWarm stores data in Amazon S3, providing up to 50% faster query execution versus competing warm-tier solutions, and 80% lower cost than the warm-tier storage from other managed Elasticsearch offerings. With UltraWarm, customers can manage current and historical log data for interactive operational analysis and visualization in a single cluster. UltraWarm is a seamless extension of the Amazon Elasticsearch Service. Customers can easily visualize search results across both their recent and longer-term operational data, all from their Kibana interface. Additionally, UltraWarm supports all of the Elasticsearch Application Programming Interfaces (APIs), tools, and features, including enterprise-grade security with fine-grained access control, encryption at rest and in flight, integrated alerting, SQL querying, and more. This allows developers, DevOps engineers, and InfoSec experts to use Amazon Elasticsearch Service for the analysis of recent (weeks) and longer-term (months or years) operational data without needing to spend days restoring data from archives (Amazon S3 or Amazon Glacier) to an active searchable state in an Elasticsearch cluster.

"Our customers tell us that log data offers a wealth of operational and security insights, but that the storage of log data quickly adds up, and proves cost-prohibitive over the medium and long term," said Raju Gulabani, VP of Databases and Analytics, AWS. "UltraWarm is the most cost-effective Elasticsearch-compatible storage solution available. It is also performance-optimized, so customers can investigate and interactively visualize their data while they embrace data at scale."

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Major Points in Table of Contents:

1 Cluster Computing Product Definition
2 Global Cluster Computing Market Manufacturer Share and Market Overview
2.1 Global Manufacturer Cluster Computing Shipments
2.2 Global Manufacturer Cluster Computing Business Revenue
2.3 Global Cluster Computing Market Overview
3 Manufacturer Cluster Computing Business Introduction
3.1 IBM Cluster Computing Business Introduction
3.1.1 IBM Cluster Computing Shipments, Price, Revenue and Gross profit 2014-2019
3.1.2 IBM Cluster Computing Business Distribution by Region
3.1.3 IBM Interview Record
3.1.4 IBM Cluster Computing Business Profile
3.1.5 IBM Cluster Computing Product Specification
3.2 PSSC Labs Cluster Computing Business Introduction
3.2.1 PSSC Labs Cluster Computing Shipments, Price, Revenue and Gross profit 2014-2019
3.2.2 PSSC Labs Cluster Computing Business Distribution by Region
3.2.3 Interview Record
3.2.4 PSSC Labs Cluster Computing Business Overview
3.2.5 PSSC Labs Cluster Computing Product Specification
3.3 Silicon Graphics International (SGI) Cluster Computing Business Introduction
3.3.1 Silicon Graphics International (SGI) Cluster Computing Shipments, Price, Revenue and Gross profit 2014-2019
3.3.2 Silicon Graphics International (SGI) Cluster Computing Business Distribution by Region
3.3.3 Interview Record
3.3.4 Silicon Graphics International (SGI) Cluster Computing Business Overview
3.3.5 Silicon Graphics International (SGI) Cluster Computing Product Specification
3.4 Intel Cluster Computing Business Introduction
3.5 Dell Cluster Computing Business Introduction
3.6 Hewlett Packard Cluster Computing Business Introduction
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