In today’s context, the big data market is rapidly undergoing contortions that define market maturity, such as consolidation. Big data refers to large volumes of data. This can be both structured and unstructured data. Big data is data that is huge in size and grows exponentially with time. As the data is too large and complex, traditional data management tools are not sufficient for storing or processing it efficiently. But analyzing big data is crucial to know the patterns and trends to be adopted to improve your business.

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TOP 10 RENOWNED BIG DATA COMPANIES
In today’s context, the big data market is rapidly undergoing contortions that
define market maturity, such as consolidation. Big data refers to large volumes of
data. This can be both structured and unstructured data. Big data is data that is
huge in size and grows exponentially with time. As the data is too large and
complex, traditional data management tools are not sufficient for storing or
processing it efficiently. But analyzing big data is crucial to know the patterns and
trends to be adopted to improve your business.
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It refers to very large sets of data that are analyzed to reveal trends, patterns, and
associations relating to human behaviour and their interactions. This may refer to
both structured and unstructured data. The characteristics of big data like velocity,
variety, and volume were first identified by Doug Laney, an analyst at Gartner, the
global research and advisory firm. It has the potential to be mined for information
and is made use of in machine learning projects and other advanced analytics
applications. More than focusing on the volume of data present, big data must
focus on how the data is used.

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Popular Big Data Companies Making a Difference
Big data has become a part and parcel of every business today and these are
some of the companies that stand out in the big data sphere.
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Amazon, founded in 1994, is headquartered in Washington. It is popular for its
cloud-based platform. It offers big data products, and its main product is Hadoop-
based Elastic MapReduce, The data warehouses that work with Amazon Web
Services (AWS) are Dynamo DB Big Data Database, NoSQL, and the redshift.
Amazon Web Services helps build and deploy Big Data Analytics applications
quickly and virtually. This provides easy and fast access to low-cost IT resources.
Amazon Web Services helps collect, analyze, store, process, and visualize big
data on the cloud.
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1. Amazon

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2. Microsoft
Founded in 1975, it is a US-based software and programming company. Microsoft
offers a wide and fast-growing big data strategy. It includes a partnership with Big
Data startup Hortonworks. This partnership provides the HDInsight tool to analyze
structured and unstructured data on the Hortonworks Data Platform (HDP).
Microsoft has recently acquired Revolution Analytics, the big data analytics
platform that is written in the ‘R’ programming language. R is one programming
language that does not require the skill of a data scientist and is used for building
Big Data apps.
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It was founded in 1988 and headquartered in Palo Alto, California. VMware is
known for its cloud and virtualization, but nowadays, it is a Big Data expert. The
Big Data of VMWare is flexible, cost-effective, simple, agile, and secure. Big Data
virtualization enables businesses to deliver results quickly and also enables
simpler Big Data infrastructure management. Its product VMware vSphere Big
Data Extension helps deploy, manage, and control Hadoop deployments. It
supports Hadoop distributions such as Hortonworks, Apache, MapR, etc. Using
this extension, the resource can be used efficiently on both existing and new
hardware.
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3. VMware

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Splunk Enterprise is one of the big data companies that started out as a log
analysis tool and then expanded its focus on machine data analytics. The data or
information can be used by anyone with the help of machine data analytics. It
helps monitor online end-to-end transactions and security threats to study
customer behaviour and allows for sentiment analysis on the social platform. One
can search, research, and visualize data in one place using the Splunk Big Data.
Big Data solutions offered by Splunk are:
● Splunk ODBC Driver.
● Splunk Analytics for HADOOP.
● Splunk DB Connect.
4. Splunk
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5. Oracle
Oracle is a big player in the field of big data. It offers fully integrated cloud
applications and platform services. It is well-known for its flagship database.
Oracle helps organizations define its data strategy and approach and helps
leverage the benefits of big data in the cloud. It leverages big data applications,
analytics, and infrastructure to provide insights for fraud, logistics, etc. Oracle’s big
data industry solutions address the growing demand of various industries such as
the public sector, retail, healthcare, banking, etc. It offers technology solutions,
such as application development, system integration, and cloud computing.
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Some of the products offered by Oracle are:
● Oracle Big Data Appliance.
● Data Visualization Cloud Service.
● Oracle Big Data Preparation Cloud Services.
● Oracle Big Data Discovery Cloud Services.
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6. IBM
International Business Machine (IBM) is an American company that is
headquartered in New York. Its operations are spread over 170 countries, and it is
regarded as the largest employer. It is the biggest vendor for big data products
and services. It provides big data solutions to store, manage, and analyze data.
The big data solutions offered by IBM are stream computing, HADOOP system,
IBM Streams, federated discovery and navigation, IBM BigInsights on Cloud, and
IBM BigInsights for Apache and HADOOP. Cognos and SPSS are the popular
analytics applications of IBM. The popular IBM database platforms supporting Big
Data Analytics are Informix, InfoSphere, and DB2.
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7. Hewlett Packard (HP)
HP is an American multinational technology company headquartered in Palo Alto,
California. It has developed a strong portfolio in Big Data products. Its major
product is the Vertica Analytics Platform that is designed to manage large volumes
of structured data. It has the fastest querying performance in SQL Analytics and
HADOOP. It can be deployed across multiple clouds, any HADOOP distribution
system, and commodity hardware. HP also has a big data platform with a focus on
machine learning that is available on demand. It uses Big Data software to help
organizations store, analyze, and explore data irrespective of the source, location,
or type of data.
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8. SAP
It is one of the largest business software companies founded in 1972. It is
headquartered in Germany. It is the best cloud company and the largest provider
of enterprise application software. It offers a variety of analytics tools, but its main
Big Data tool is the HANA-in memory relational database. This tool can be
integrated with HADOOP and can run on 80 terabytes of data. SAP helps
organizations turn a huge amount of big data into real-time insight with HADOOP.
It allows for advanced computation capabilities and distributed data storage.
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9. Cogito
It uses a famous technology called behavioural analytics technology. Cogito
analyzes the voice signals in phone calls to improve social media behaviour,
communication, and customer emails. It detects human signals and provides
guidance to improve interaction quality. Cogito helps in phone support businesses
manage agent performance. Real-time guidance helps enhance call efficiency and
gets the perception and feedback of the customer after every phone call.
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10. Apache
The Apache Hadoop software library is the framework for Big Data though many
vendors have taken the framework and built their proprietary and unique functions.
The base system has been designed in such a way that it can scale up from a
single server to thousands and provides an outline to do personal customizations.
Apache offers Spark, which does real-time, in-memory processing. Apache also
offers Storm. Storm is a fault-tolerant, real-time processing system that is
designed to run parallel calculations across a cluster of machines.
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Conclusion
I hope this article gave you a fair idea about some of the top big data companies.
This is not an exhaustive list as there are many other companies, both startups,
and established players, offering different products and solutions to suit every
business.
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