Top 10 Best Big Data Companies List in 2024

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 a structured and unstructured manner. The data belongs to a various companies and each companies uses such data for various prospective. So a huge amount of data is not critical, the rather critical part is how organizations are using this data.

Big Data is a data set that is vast and compound so that classical data processing applications are inadequate to pass out with them. There are issues to supporting such a vast volume of data such as capture, store, data analysis, data transfer, data sharing, etc.

The significance of Big Data is not about how much volume of data is attending rather it is fixed on what you do with that data.

Top Big Data Companies to Watch Out

• Prolifics
• Clairvoyant
• ScienceSoft
• Xplenty
• IBM
• HP Enterprise
• Teradata
• Oracle
• SAP
• EMC
• Amazon
• Microsoft
• Google
• VMware
• Splunk
• Alteryx
• Cogito

Let’s see a few details about these companies.

#1) Prolifics

Prolifics is a global digital transformation company with expertise in data and analytics, cloud, DevOps, digital business, and quality assurance across multiple industries. Prolifics supply expert consulting, engineering, and supported services for all its operation areas at any point in the continuity of clients’ requires.

Productive was founded 40 years ago, has more than 1,200 employees spread across 11 offices in North America, India, and Europe.

Prolifics’ offerings include data management services with data scanning, data integration, and data governance; business analytics that slice, dice and engineer data into actionable business intelligence to help gain the competitive edge; and advanced artificial intelligence and machine learning (AI/ML) for the next level predictive analysis.

Prolifics’ cloud architecture services include the design and implementation of the cloud infrastructure and architecture to bring cloud strategy to life. Prolifics’cloud migration services assess current systems, modernize legacy technology, and develop a cloud migration strategy and implementation roadmap.

#2) Clairvoyant

Clairvoyant is a leading multinational data science and engineering firm, builds high-quality data solutions for various enterprises across several domains.

Backed by the firm’s vast technical expertise, these solutions are well-known for their precision, agility, scalability, and ease of use. These solutions continue to help companies rapidly analyze huge volumes of data efficiently.

The company specializes in the end-to-end development and operationalization of Artificial Intelligence (AI) and Machine Learning (ML) solutions for organizations that function on tremendous volumes of data and need efficient decision-making capabilities.

These solutions have helped derive actionable insights and business decisions for an array of satisfied clients. It also has a competent Managed Services team that has efficiently managed 300+ large-scale Big Data infrastructures.

It spares clients from the time, effort, and cost consumed in building a skilled data management team that can keep an eye on all forms of data ingestion and insight generation processes.

Clairvoyant’s adept Managed services team undertakes all the heavy-lifting, right from setting up and managing the day-to-day operations to enable clients architect complex big data projects effortlessly from the ground up.

Headquartered in Phoenix, Arizona, the company serves multiple Fortune 500 clients with its superior services in the fields of big data, data analytics, cloud, Artificial Intelligence, Machine Learning, and other disruptive technologies.

With an employee base of more than 300, Clairvoyant has its locations in more than 10 cities and 3 countries. Its offerings are consumed by several organizations belonging to more than 10 sectors.

#3) ScienceSoft

ScienceSoft is an international IT consulting and custom software development company that was launched in 1989 with its headquarters in McKinney, Texas, USA.

Since 2013, ScienceSoft has been helping their clients put big data into efficient use by providing a full range of big data services: big data consulting, implementation, support, and big data managed analytics services.

• Big Data Consulting
• By rendering big data execution and upgrade consulting services, ScienceSoft assist with:
• Designing a roadmap to leveraging big data potential.
• Recommending on data quality management.
• Crafty big data services architecture, execution approach, user affecting master plan, growth strategy, etc.

Big Data Implementation

ScienceSoft implements big data solutions with some or all of the following architecture components: a data lake, a data warehouse, ETL processes, OLAP cubes, reports, and dashboards. Additionally, ScienceSoft sets up data quality management and data security practices, trains, and applies machine learning models.

Big Data Support

With big data support services, ScienceSoft’s provides big data solution administration (updating software, adding new users, handling permissions), big data administration (data cleaning, backup, and recovery), a big data solution’s regular health checks and continuous monitoring to identify problems early and effectively troubleshoot them.

Big Data Managed Analytics Services

With managed analytics services, ScienceSoft helps companies who want to quickly derive insights out of their big data and focus on their core business activities without developing and managing a full-scale big data solution.

#4) Xplenty

Xplenty is cloud-based data integration, ETL, and ELT platform that will streamline data processing. It can bring all your data sources together. It will let you create simple, visualized data pipelines to your data lake.

Xplenty’s Big Data processing cloud service will provide immediate results to your business like designing data flows and scheduling jobs. It can process structured and unstructured data.

Through this platform, organizations will be able to integrate, process, and prepare data for analysis on the cloud. Xplenty will ensure that businesses can quickly and easily benefit from big data opportunities without investing in hardware, software, or related personnel.

Every organization will be able to immediately connect to a variety of data stores. Companies will get a rich set of out-of-the-box data transformation components with Xplenty.

Xplenty has a team of top data experts, engineers, and DevOps. This team provides a data integration platform with a simplified data processing service. Xplenty has solutions for Marketing, sales, support, and developers.

#5) IBM

IBM is listed at # 43 in Forbes list with a Market Capitalization of $162.4 billion as of May 2017. The company’s operation is spread across 170 countries and the largest employer with around 414,400 employees.

In 2017, IBM holds most patents generated by the business for 24 consecutive years.

IBM Big Data solutions provide features such as store data, manage data and analyze data.

There are numerous sources from where this data comes and accessible to all users, Business Analysts, Data Scientist, etc. DB2, Informix, and InfoSphere are popular database platforms by IBM which support 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 a storage platform that 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 organizations 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 a 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.

#6) HP Enterprise

HP Enterprise was acquired by Micro Focus including Vertica

Micro Focus has built up a strong portfolio in Big Data products in a very short time span. The Vertica Analytics Platform is designed to manage a large volume of structured data and it has the 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.

Predicated Big Data Software, Expertise Services list is as given below:

#1) Vertica Data Analytics

Vertica merge the powerful activity, extensive parallel processing SQL query engine with leading analytics and machine learning so you can unlock the true likely of your data with no limits and no compromises.

It can deploy anywhere across multiple clouds, material hardware, on any Hadoop distribution system. It is unified with open-source, eco-friendly architecture.

#2) IDOL

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.

#7) Teradata

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 lengthy 35+ years of skill in innovation and leadership. Teradata Corp. provides an analytic 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 the following products:

#1) Integrated Data Warehouse

It is the world’s most powerful database and enterprise-class which gives the most value from your data

It has a 360 view of your business

It has the ability to integrated data from multiple sources

#2) Kylo

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 the Teradata database

Versatile and cost-effective

Simplified platform and high-performance architecture

#8) Oracle

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 the 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 that 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 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

#9) SAP

SAP is the largest business software company founded in 1972 with headquarters in Walldorf, Germany. It has a Market Capitalization of $119.7 billion with a total employee count as 84,183 as of May 2017.

As per the Forbes list, SAP has sales of $24.4 billion and a profit of around $4 B with 345,000 customers. It is the largest provider of enterprise application software and the best cloud company with 110 million cloud subscribers.

The SAP provides a variety of Analytics Tool but its main Big Data Tool is the 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 the 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 enhances the decision making with SAP IQ

It is an extremely scalable and robust security

#3) SAP BusinessObjects BI

It analyzes a high volume of data with greater performance

It proactively grabs the new business opportunity and responds to potential threats

#10) EMC

DELL EMC helps businesses to store, analyze and protect their data. It offers a base to get the business issue from Big Data. It helps the grouping to understand consumer behavior, risk, activity. Dell EMC has over 50% boost with Data Analytics.

Data stored in one centralized repository which simplifies the analytics and management. Powerful infrastructure gives your organization a competitive edge and increased revenue. SAP Big Data Foundation has below listed products:

• Isilon
• ECS
• Boomi
• PowerEdge for Hadoop

#11) Amazon

Amazon

Amazon.com was founded in 1994 with headquarters in Washington. As of May 2017, it has a Market Capitalization of $427 billion and sales of $135.99 billion as per Forbes list. The total employee headcount as of 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 to collect, analyze, store processes, 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.

#12) Microsoft

It is a US-based Software and Programming Company, established in 1975 with base camp in Washington. According to Forbes show, it has a Market Capitalization of $507.5 billion and $85.27 billion of deals. It at present utilized around 114,000 workers over the globe.

Microsoft's Big Data procedure is wide and developing quick. This technique incorporates an association with Hortonworks which is a Big Data startup. This association gives HDInsight device to examining organized and unstructured information on Hortonworks information stage (HDP)

As of late Microsoft has procured Revolution Analytics which is a Big Data Analytics stage written in "R" programming language. This language is utilized for building Big Data applications that don't need the ability of a Data Scientist.

Microsoft and Hortonworks have three arrangements dependent on HDP:

#1) HDInsight: It is cloud-facilitated administration and utilizations Azure bunch to run on HDP. It tends to be coordinated with Azure stockpiling

#2) HDP for Windows: It is a configurable Big Data group that can be introduced on the Windows worker. It can likewise be introduced on a virtual machine or physical equipment in the cloud

#3) Microsoft Analytics Platform System: It permits information in Hadoop to be questioned and can be joined with social information. Such information can be moved in or out of Hadoop

#13) Google

Google is established in 1998 and California is settled. It has $101.8 billion market capitalization and $80.5 billion of deals as of May 2017. Around 61,000 representatives are at present working with Google over the globe.

Google gives coordinated and start to finish Big Data arrangements dependent on advancement at Google and helps the diverse association to catch, measure, examine and move information in a solitary stage. Google is extending its Big Data Analytics; BigQuery is a cloud-based examination stage that investigates a colossal arrangement of information rapidly.

BigQuery is serverless, completely oversaw and ease undertaking information stockroom. So it doesn't need an information base manager just as there is no foundation to oversee. BigQuery can examine terabytes information like a flash and petabytes information in minutes.

Google gives underneath recorded Big Data Solutions:

#1) Cloud DataFlow: It is a brought together programming model and aides in information handling designs that incorporate ETL, group calculation, streaming examination.

#2) Cloud Dataproc: Google's Cloud Dataproc is an overseen Hadoop and Spark administration which effectively measures huge informational indexes utilizing open-source device in the Apache enormous information biological system.

#3) Cloud Datalab: It is an intuitive note pad that breaks down and pictures information. It is likewise coordinated with BigQuery and empowers to admittance to key information preparing administrations.

#14) VMware

VMware established in 1998 and settled is in Palo Alto, California. Around 20,000 representatives are working and it has a Market Capitalization of $37.8 billion as of May 2017. Likewise, according to Forbes information, it has deals of around $7.09 billion.

VMware is notable for its cloud and virtualization however these days it is turning into a major part in Big Data. Virtualization of Big Data empowers easier Big Data framework the executives, conveys results rapidly and very practical. VMware Big Data is basic, adaptable, practical, nimble and secure.

It has an item VMware vSphere Big Data Extension which empowers us to convey, oversee and controls Hadoop arrangements. It underpins Hadoop circulations which incorporate Apache, Hortonworks, MapR, and so forth. With the assistance of this augmentation, the asset can be utilized proficiently on the new and existing equipment.

#15) Splunk

Splunk Enterprise began as a log examination device and extended its attention to machine information investigation. With the assistance of machine information investigation, the information or data is usable by anybody.

It helps in checking the online start to finish exchanges; screen the security dangers assuming any, assists with examining client conduct and aides for assessment examination on the social stage. Utilizing the Splunk Big Data you can look, investigate and envision information in one spot.

Splunk's Big Data arrangements include:

• Splunk Analytics for Hadoop
• Splunk ODBC Driver
• Splunk DB Connect

#16) Alteryx

Alteryx programming is for the business client and not for an information researcher. Alteryx gives the capacity to experts to meet their association's examination needs. Alteryx conveys a stage for self-administration information examination. It approaches and capacity to coordinate from Big Data condition, for example, Hadoop SAP Hana, Microsoft SQL Azure Database, and so forth.

Get ready and mix information inside and outside the Big Data condition.

Huge Data investigation gives a chance to the association to get new wellsprings of experiences from another wellspring of information. Alteryx permits various associations to exploit information from a major information condition. This information again can be coordinated with outer datasets to pick up the most extreme incentive from relating information sources

#17) Cogito

Cogito utilizes a well-known innovation as – social examination innovation. Cogito examines the voice signals in calls to improve correspondence, client messages, web-based media conduct, and so forth.

Cogito additionally recognizes human signals and gives direction to improve the connection quality with everybody. It helps in telephone backing and encourages associations to deal with the specialist execution. Constant direction expands the call effectiveness and gets the client input, recognition after each call.