Overview of Big Data:
Over the past few years, you must have heard the term “Big Data” which is defined in different ways.
Big Data describes the large volume of data in structured and unstructured manner. The data belongs to a different organization and each organization uses such data for different purposes. So large amount of data is not critical, rather critical part is how organizations are using this data.
Big Data is a data set which is huge and complex so that traditional data processing applications are inadequate to deal with them. There are challenges to managing such huge volume of data such as capture, store, data analysis, data transfer, data sharing etc. Big Data follows 3V model as “High Volume”, “High Velocity” and “High Variety”.
The importance of Big Data is not about how much volume of data is present rather it is focused on what you do with that data.
In today’s world, by collecting data you can find answers for – root cause for failure, recalculating the risk profiles etc. It also helps to reduce the cost, faster decision making. Hadoop technology and cloud-based analytics help business to analyze the information or data immediately so decision making is much faster.
What You Will Learn:
Top Big Data companies as below
- HP Enterprise
Let’s see few details about these companies.
International Business Machine (IBM) is American company headquartered in New York. IBM is listed at # 43 in Forbes list with a Market Capitalization of $162.4 billion as on May 2017. The company’s operation is spread across around 170 countries and largest employer with around 414,400 employees.
IBM has a sale of around $79.9 billion and profit of $11.9 billion. In 2017, IBM holds most patents generated by business for 24 consecutive years.
IBM is the biggest vendor for Big Data related products and services. IBM Big Data solutions provide features such as store a data, manage data and analyze data.
There are numerous sources from where this data come and accessible to all users, Business Analysts, Data Scientist etc. DB2, Informix, and InfoSphere are popular database platform by IBM which supports Big Data Analytics. There are also famous analytics applications by IBM such as Cognos and SPSS.
IBM’s Big Data Solutions are as below:
1) Hadoop System
It is storage platform which stores structured and unstructured data. It is designed to process a large volume of data to gain business insights.
2) Stream Computing
Stream Computing enables organizations to perform in-motion analytics including the Internet of Things, real-time data processing, and analytics
3) Federated discovery and navigation
Federated discovery and navigation software help organization to analyze and access information across the enterprise.
IBM provides below listed Big Data products which will help to capture, analyze, and manage any structured and unstructured data.
4) IBM® BigInsights™ for Apache™ Hadoop®
It enables organizations to analyze huge volume of data quickly and in a simple manner.
5) IBM BigInsights on Cloud
It provides Hadoop as a service through the IBM SoftLayer cloud infrastructure.
6) IBM Streams
For critical Internet of Things applications, it helps organizations to capture and analyze data in motion.
Visit official site: IBM
#2) HP Enterprise
HPE is American Multinational Information Technology Company and headquartered is in Palo Alto, California. HPE has a Market capitalization of $27.93 Billion and revenue of $50.1B as on 2016. Around 195,000 employees are working with HPE.
HP Enterprise (HPE) has built up a strong portfolio in Big Data products in the very short time span. The main product by HPE is “Vertica Analytics Platform” which is designed to manage a large volume of structured data and it has fastest query performance on Hadoop and SQL Analytics.
With the help of Big Data software, it enables different organizations to store, analyze and explore data irrespective of the source of data, type of data or location of data.
Featured Big Data Software, Solutions and Services list is as given below:
1) Vertica Advanced Analytics
It can deploy anywhere across multiple clouds, commodity hardware, on any Hadoop distribution system. It is integrated with open source, eco-friendly architecture.
It provides a single environment for structured, semi-structured and unstructured data. It has rich media intelligence, visualization, and exploration. Using the IDOL Natural Language Question Answering power, different organizations are tapping the potential of Big Data by breaking the barriers between machines and humans.
Visit official site: HP Enterprise
Teradata is founded in 1974 with headquarter at Dayton, Ohio. Teradata has more than 10K employees across 43 countries and around 1,400 customers with a Market Capitalization of $7.7B. It has extensive 35+ years of experience in innovation and leadership. Teradata Corp. provides analytics data platform, marketing, consulting services and analytics application.
Teradata helps different companies to get value from their data. Teradata’s Big Data Analytical solutions and a team of experts help different organizations to gain the advantage of data. Teradata portfolio includes various Big Data applications such as Teradata QueryGrid, Teradata Listener, Teradata Unity and Teradata Viewpoint.
Teradata has following products:
1) Integrated Data Warehouse
- It is world’s most powerful database and enterprise class which gives most value from your data
- It has a 360 view of your business
- It has ability to integrated data from multiple sources
- It is an open source and enterprise-ready software
- It leverages reusable templates to increase the productivity
3) Aster Big Analytics Appliance
- It helps in generating business insights fast and easily. Along with that it helps in meeting all business needs
- Quick deploy, easy to manage and highest ROI
4) Data Mart Appliance
- Leverage the analytical power of Teradata database
- Versatile and cost effective
- Simplified platform and high-performance architecture
Visit official site: Teradata
Oracle offers fully integrated cloud applications, platform services with more than 420,000 customers and 136,000 employees across 145 countries. It has a Market capitalization of $182.2 billion and sales of $37.4 B as per Forbes list.
Oracle is the biggest player in Big Data area, it is also well known for its flagship database. Oracle leverages the benefits of big data in the cloud. It helps organizations to define its data strategy and approach which includes big data and cloud technology.
It provides a business solution which leverages Big Data Analytics, applications, and infrastructure to provide insight for logistics, fraud etc. Oracle also provides Industry solutions which ensure that your organization takes the advantage of Big Data opportunities.
Oracle’s Big Data industry solutions address the growing demand for different industries such as Banking, Health Care, Communications, Public Sector, Retail etc. There are a variety of Technology solutions such as Cloud Computing, Application Development, and System Integration.
Oracle offers different products as below:
- Oracle Big Data Preparation Cloud Services
- Oracle Big Data Appliance
- Oracle Big Data Discovery Cloud Services
- Data Visualization Cloud Service
Visit official site: Oracle
SAP is the largest business software company founded in 1972 with headquarters in Walldrof, Germany. It has a Market Capitalization of $119.7 billion with total employee count as 84,183 as on May 2017.
As per the Forbes list, SAP has sales of $24.4 billion and profit of around $4 B with 345,000 customers. It is the largest provider of enterprise application software and best cloud company with 110 million cloud subscribers.
SAP provides a variety of Analytics Tool but its main Big Data Tool is HANA-in memory relational database. This tool integrates with Hadoop and can run on 80 terabytes of data.
SAP helps the organization to turn a huge amount of Big Data into real-time insight with Hadoop. It enables distributed data storage and advanced computation capabilities.
SAP Big Data provides following listed products:
1) SAP Predictive Analytics
- It uses a predictive algorithm and machine learning to anticipate the future outcome and guide the business in the right direction
- Using this technique thousands of predictive models can be created, deployed and maintained
- It automates data preparation, deployment of predictive modeling
2) SAP IQ
- Formerly it is known as Sybase IQ. It transforms business and enhance the decision making with SAP IQ
- It is extremely scalable and robust security
3) SAP BusinessObjects BI
- It analyzes high volume of data with greater performance
- It proactively grab new business opportunity and responds to potential threats
Visit official site: SAP
DELL EMC helps business to store, analyze and protect their data. It provides infrastructure to get the business outcome from Big Data. It helps the organization to understand customer behavior, risk, operations. Dell EMC has over 50% growth with Data Analytics.
Data stored in one centralized repository which simplifies the analytics and management. Powerful infrastructure gives your organization competitive edge and increased revenue. SAP Big Data Foundation has below listed products:
- PowerEdge for Hadoop
Visit official site: EMC
Amazon.com founded in 1994 with headquarters in Washington. As on May 2017, it has a Market Capitalization of $427 billion and sales of $135.99 billion as per Forbes list. Total employee headcount as on May 2017 is 341,400.
Amazon is well known for its cloud-based platform. It also offers Big Data products and its main product is Hadoop-based Elastic MapReduce. DynamoDB Big Data database, the redshift, and NoSQL are data warehouses and are work with Amazon Web Services.
Big Data Analytics application can be built and deploy quickly using Amazon Web Services. These applications can be built virtually using AWS which provides fast and easy access to low cost IT resources. AWS helps in to collect, analyze, store process and visualize big data on the cloud.
Below is given a list of Analytics framework:
- Amazon EMR
- Amazon Elasticsearch Service
- Amazon Athena
The list given below is the real-time Big Data Analytics:
- Amazon Kinesis Firehose
- Amazon Kinesis Streams
- Amazon Kinesis Analytics
Amazon also provides Business Intelligence, Artificial Intelligence Internet of Things, Data Movement etc.
Visit official site: Amazon
It is US based Software and Programming Company, founded in 1975 with headquarters in Washington. As per Forbes list, it has a Market Capitalization of $507.5 billion and $85.27 billion of sales. It currently employed around 114,000 employees across the globe.
Microsoft’s Big Data strategy is wide and growing fast. This strategy includes a partnership with Hortonworks which is a Big Data startup. This partnership provides HDInsight tool for analyzing structured and unstructured data on Hortonworks data platform (HDP)
Recently Microsoft has acquired Revolution Analytics which is Big Data Analytics platform written in “R” programming language. This language used for building Big Data apps which do not require a skill of Data Scientist.
Microsoft and Hortonworks have three solutions based on HDP:
It is cloud hosted service and uses Azure cluster to run on HDP. It can be integrated with Azure storage
2) HDP for Windows
It is configurable Big Data cluster which can be installed on Windows server. It can also be installed on virtual machine or physical hardware in cloud
3) Microsoft Analytics Platform System
It allows data in Hadoop to be queried and can be combined with relational data. Such data can be moved in or out of Hadoop
Visit official site: Microsoft
Google is founded in 1998 and California is headquartered. It has $101.8 billion market capitalization and $80.5 billion of sales as on May 2017. Around 61,000 employees are currently working with Google across the globe.
Google provides integrated and end to end Big Data solutions based on innovation at Google and help the different organization to capture, process, analyze and transfer a data in a single platform. Google is expanding its Big Data Analytics; BigQuery is a cloud-based analytics platform which analyzes a huge set of data quickly.
BigQuery is serverless, fully managed and low-cost enterprise data warehouse. So it does not require database administrator as well as there is no infrastructure to manage. BigQuery can scan terabytes data in seconds and pentabytes data in minutes.
Google provides below listed Big Data Solutions:
1) Cloud DataFlow
It is a unified programming model and helps in data processing patterns which include ETL, batch computation, streaming analytics.
2) Cloud Dataproc
Google’s Cloud Dataproc is a managed Hadoop and Spark service which easily process big data sets using open source tool in the Apache big data ecosystem.
3) Cloud Datalab
It is an interactive notebook which analyzes and visualizes data. It is also integrated with BigQuery and enables to access the key data processing services.
Visit official site: Google
VMware founded in 1998 and headquartered is in Palo Alto, California. Around 20,000 employees are working and it has a Market Capitalization of $37.8 billion as on May 2017. Also as per Forbes data, it has sales of around $7.09 billion.
VMware is well known for its cloud and virtualization but nowadays it is becoming a big player in Big Data. Virtualization of Big Data enables simpler Big Data infrastructure management, deliver results quickly and very cost effective. VMware Big Data is simple, flexible, cost-effective, agile and secure.
It has a product VMware vSphere Big Data Extension which enables to deploy, manage and controls Hadoop deployments. It supports Hadoop distributions which include Apache, Hortonworks, MapR etc. With the help of this extension, the resource can be used efficiently on the new and existing hardware.
Visit official site: VMware
Splunk Enterprise started as a log analysis tool and expanded its focus on machine data analytics. With the help of machine data analytics, the data or information is usable by anyone.
It helps in monitoring the online end to end transactions; monitor the security threats if any, helps to study customer behavior and helps for sentiment analysis on the social platform. Using the Splunk Big Data you can search, explore and visualize data in one place.
Splunk’s Big Data solutions include:
- Splunk Analytics for Hadoop
- Splunk ODBC Driver
- Splunk DB Connect
Visit official site: Splunk
Alteryx software is for the business user and not for a data scientist. Alteryx provides the ability to analysts to meet their organization’s analytics need. Alteryx delivers a platform for self-service data analytics. It has access and ability to integrate from Big Data environment such as Hadoop SAP Hana, Microsoft SQL Azure Database etc. Prepare and blend data inside and outside Big Data environment.
Big Data analytics provides an opportunity to the organization to get the new sources of insights from a new source of data. Alteryx allows the different organization to take the advantage of data from big data environment. This data again can be integrated with external datasets to gain the maximum value from corresponding data sources
Visit official site: Alteryx
Cogito uses a famous technology as – behavioral analytics technology. Cogito analyzes the voice signals in phone calls to improve communication, customer emails, social media behavior etc.
Cogito also detects human signals and provide guidance to improve the interaction quality with everyone. It helps in phone support and helps organizations to manage the agent performance. Real-time guidance increases the call efficiency and gets the customer feedback, perception after every call.
Visit official site: Cogito
In this article, we have seen the top Big Data Companies. This is not an exhaustive list and there are many other companies who are startup now but have the capabilities to grow faster. This will be challenging for the other rival companies.
There are different products, solutions provided by these companies and are used by other organization as per their need. Now it’s your turn to add more companies in above list!