全球Hadoop市场报告(2020-2027年)
Hadoop is an open source software administered by Apache software foundation. It is a distributed processing
technology that can be used in different sectors for big data analysis. It is much cost effective compared to
traditional data analysis tools such as Relational Database Management System (RDBMS). Apache Hadoop is a
simple, powerful, efficient, and shared platform. However, Hadoop technology deployment provides features
such as scalability, which helps in reducing operating cost and use of commodity hardware for reliable
distribution. Hadoop-based applications are used by organizations that require real-time analytics from video,
email, machine generated data from a multitude of sensors and from external sources such as social media and
the internet. Hadoop enables technical experts of organizations to perform several operations which include
big data analytics, big data management, and big data storage in a cloud. The Hadoop as a Service (HaaS)
platform enables organizations to use Hadoop technology in a highly cost-effective manner, along with
ensuring minimal consumption of time.
Hadoop is mainly a software framework which is used to manage data and storage for big data applications in
clustered systems. It gives users the ability to collect, process, and analyze data. Despite Hadoop being the
leader, not all organizations are capable of installing as well as maintaining in-house Hadoop environment.
Users do not have to invest in or install additional infrastructure on premises when using the technology, as it
is provided and managed by a third-party vendor. Customers using HaaS, do not need to invest in or install
additional infrastructure on their premises. This helps them to concentrate on their core businesses.
全球Hadoop即服务市场报告(2020-2027年)
Hadoop is an open-source software administered by Apache software foundation. It is a distributed processing
technology, which can be used in different sectors for Big Data analysis. Hadoop is more cost-effective solution
as compared to traditional data analysis tools such as relational database management system (RDBMS).
Apache Hadoop is a simple, powerful, efficient, and shared platform. However, Hadoop technology deployment
provides features such as scalability, which helps in reducing operating cost and use of commodity hardware
for reliable distribution. Hadoop-based applications are used by organizations which require real-time analytics
from data such as video, email, machine generated data from a multitude of sensors, and data from external
sources such as social media and the internet. Hadoop-as-a-service enables technical experts of organizations
to perform several operations, which include big data analytics, Big Data management, and big data storage in
a cloud. The HaaS platform enables organizations to use Hadoop technology in a highly cost-effective manner
along with ensuring minimal consumption of time.
This report features information on Hadoop-as-a-service offered by key vendors. Furthermore, it highlights
strategies adopted by key market players to improve their market share and sustain competition.