Top 23 Big Data Companies in 2023: Which Are The Best?

ALSO SEE: Top 15 Data Warehouse Tools and Top 20 Big Data Software Applications

A term that has gained acclaim in recent years, big data refers to using data analytics to extract intelligent value from information. Big data encompasses massive amounts of data that a company can use in many ways – and in real time. This information lends insight into how top data companies can improve their operations and better understand customer behaviors and needs.

Let’s take a look at the top big data companies in 2023.

Table of Contents: 

• Top Big Data Companies
  
• What Exactly Does a Big Data Company Do?
• Why Do Organizations Need a Big Data Solution?

Microsoft

This U.S.-based company was founded in 1975 and is headquartered in Washington state. Microsoft’s big data strategy includes a partnership with Hortonworks (now merged with Cloudera), providing an HDInsight tool for analyzing massive amounts of both structured and unstructured data on Hortonworks’ data platform (HDP).

Big Data Expertise

Microsoft brings big data to billions of people by providing easy access to all data with the help of its Azure cloud platform. The big-name company also gives IT a complete data platform to scale insights across their organizations confidently.

Top Industries That Use Microsoft

• Energy
• Retail
• Gaming
• Banking and finance
• Sports and media
• Government
• Manufacturing

Microsoft’s Solutions

Microsoft has three solutions based on HDP:

• HDInsight
• HDP for Windows
• Microsoft Analytics Platform System

Amazon AWS

Amazon was founded in 1994 with its headquarters in Washington. The company is best known for its cloud-based platform. However, this tech giant also offers big data products, with its main product being the Hadoop-based Elastic MapReduce.

Big Data Expertise

Big data analytics applications can be built and deployed quickly using Amazon Web Services, virtually, if needed. AWS helps to collect, analyze, store processes, and visualize big data on the cloud.

Top Industries That Use Amazon AWS

• Advertising and marketing
• Aerospace
• Automotive
• Games
• Education
• Retail
• Government
• Media

Amazon’s Solutions 

Amazon’s solutions include:

• Amazon EMR
• Amazon Elasticsearch Service
• Amazon Athena
• Amazon Kinesis Firehose
• Amazon Kinesis Streams
• Amazon Kinesis Analytics
• Business intelligence (BI)
• Artificial intelligence (AI)
• Internet of Things (IoT)
• Data movement

Google

This California-native company was founded in 1998 and has employees and offices worldwide. Google provides integrated and end-to-end big data solutions based on the tech giant’s innovation. It helps organizations capture, process, analyze, and transfer data in a single platform.

Big Data Expertise

Google is expanding its big data analytics with BigQuery. This cloud-based analytics platform quickly analyzes large quantities of data. In addition, BigQuery is a serverless, fully managed, and low-cost enterprise data warehouse.

Top Industries That Use Google

• Retail
• Finance
• Healthcare
• Gaming
• Media
• Manufacturing
• Supply chain logistics
• Government
• Education

Google’s Solutions

Google’s cloud solutions offer application modernization, AI, application programming interfaces (APIs), databases, security, smart analytics, infrastructure modernization, and productivity and collaboration.

• Cloud DataFlow
• Cloud Dataproc
• Cloud Datalab

IBM

IBM is an American company headquartered in New York. Founded in 1911, IBM has remained relevant with modern technologies as a top big data company with solutions providing features such as storage, data management, and data analysis.

Big Data Expertise

IBM’s big data solutions are designed to process massive amounts of data to gain business insights and to capture, analyze, and manage any structured and unstructured data. IBM, one of the largest companies worldwide, includes BigInsights and Hadoop as a service in its IBM SoftLayer cloud infrastructure.

Top Industries That Use IBM

• Aerospace and defense
• Automotive
• Banking and finance
• Government
• Education
• Manufacturing
• Entertainment
• Retail
• Travel

IBM’s Solutions

• Hadoop System
• Stream Computing
• IBM BigInsights for Apache Hadoop
• IBM BigInsights
• IBM SoftLayer cloud infrastructure
• IBM Streams for the Internet of Things

HPE

HPE was founded in 2015 in Palo Alto, California, when the original Hewlett-Packard company split into two companies. HPE works in servers, storage, networking, containerization software and consulting, and support. Among HPE’s big data offerings is HPE GreenLake.

Big Data Expertise

GreenLake is designed as an as-a-service solution to offer faster data mining by lowering the challenges and costs of the Hadoop platform. In addition, it provides software-hardware combinations for in-house installation and tools to monitor and manage data activity.

Top Industries That Use HPE

• Manufacturing
• Telecommunications
• Health and life sciences
• Financial services
• Public sector
• Small and midsize businesses
• Media and entertainment
• Service providers

HPE’s Solutions

• Aruba ESP (Edge Services Platform)
• HPE Moonshot
• HPE Apollo 4000 purpose-built server
• HPE ConvergedSystem
• HPE 3PAR StoreServ 20000
• HAVEn, a big-data platform

Oracle

Founded in 1977, Oracle is a multinational technology corporation headquartered in Austin, Texas. This global tech company designs, manufactures, and sells software and hardware products as well as services that complement them. Oracle has the distinction of being one of the world’s largest software companies based on revenue.

Big Data Expertise

Oracle is a top big data company known for its flagship database. In addition, Oracle offers fully integrated cloud applications and platform services. The company has business solutions that leverage big data analytics and applications to provide insight into logistics and fraud.

Top Industries That Use Oracle

• Banking
• Healthcare
• Manufacturing
• Retail
• U.S. government

Oracle’s Solutions

• Oracle Big Data Preparation Cloud Services
• Oracle Big Data Appliance
• Oracle Big Data Discovery Cloud Services
• Data Visualization Cloud Service

Dell EMC

Founded in 1984, this Austin-based company sold only hardware until 2009. Now, people recognize the name Dell for its PCs, servers, and software. Dell is also well-known for how it handles supply chains and e-commerce.

Big Data Expertise

In March 2014, Dell acquired StatSoft to help bolster its big data solutions. Dell EMC helps small and large businesses store, analyze, and protect their data. In addition, it allows enterprises to better understand customer behaviors and risks.

Top Industries That Use Dell EMC

• Media and entertainment
• U.S. federal government
• Energy
• Healthcare
• Education
• Retail

Dell EMC Solutions

• PowerEdge for Hadoop
• Boomi
• Isilon
• ECS

SAP

SAP is a business software company founded in 1972. This large provider of enterprise application software has headquarters in Walldorf, Germany, and has 110 million cloud subscribers.

Big Data Expertise

SAP’s primary big data tool is the HANA-in-memory relational database. It integrates with Hadoop, allowing organizations to turn massive amounts of big data into real-time insights. In addition, SAP’s solutions use automated data preparation and deployment of predictive modeling. As a result, it can analyze massive amounts of data and proactively respond to potential threats.

Top Industries That Use SAP

• Retail
• Government
• Manufacturing
• Entertainment
• Media

SAP’s Solutions

• SAP Predictive Analytics
• SAP IQ, formerly known as Sybase IQ
• SAP BusinessObjects BI

Splunk Enterprise

Splunk is a cloud computing company founded in 2003 and based in San Francisco, California. It started as a log analysis tool in 2003 but has expanded its focus to machine data analytics, which make it possible for the data or information to be usable by anyone.

Big Data Expertise

Splunk boasts a wide range of expertise that helps mitigate security risks, maintain infrastructures’ operational health and security, and transform IT, security, and business operations through data analytics. Using Splunk big data, users can study customer data and search, explore, and visualize data in one place.

Top Industries That Use Splunk

• Aerospace and defense
• Communications
• Energy and utilities
• Financial services
• Healthcare
• Higher education
• Manufacturing
• Nonprofits
• Online services
• Public sector
• Retail

Splunk’s Solutions

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

Teradata

Founded in 1974 with headquarters in Dayton, Ohio, Teradata provides an analytic data platform, marketing, consulting services, and analytics application.

Big Data Expertise

Teradata’s big data solutions help organizations to gain an advantage with data by using big data applications, such as Teradata QueryGrid, Teradata Listener, Teradata Unity, and Teradata Viewpoint.

Top Industries That Use Teradata

• Automotive
• Energy and natural resources
• Financial services
• Government
• Healthcare
• Manufacturing
• Media and entertainment
• Retail
• Travel and transportation
• Utilities

Teradata’s Solutions

• Integrated Data Warehouse
• Kylo
• Aster Big Analytics Appliance
• Data Mart Appliance

VMware

Founded in 1998 and headquartered in Palo Alto, California, VMware is well-known for its cloud computing and virtualization, but lately, it is becoming a big player in big data. Since 2005, this computer software company has acquired multiple companies, helping to improve its cybersecurity, digital transformation, and automation and configuration of management software.

Big Data Expertise

VMware big data solutions tout simple, flexible, cost-effective, agile, and secure products. VMware vSphere Big Data Extension enables companies to deploy, manage, and control deployments. Further, VMware supports Hadoop distributions which include Apache, Hortonworks, and MapR. The company’s virtualization of big data enables simpler big data infrastructure management while delivering results quickly and cost-effectively.

Top Industries That Use VMware

• Communications service providers
• U.S. federal government
• Finance
• Healthcare
• State and local government

VMware’s Solutions

• VMware vSphere Big Data Extensions (BDE) Native app platform
• Cloud infrastructure
• Cloud management
• Edge infrastructure
• Networking security

Cogito

Founded in 2007 with headquarters in Boston, Massachusetts, Cogito aims to develop an AI platform and behavioral models to automatically interpret human communication and detect psychological states. It uses AI to help companies and people be more productive.

Big Data Expertise

Cogito uses behavioral analytics technology, including analysis of customer interactions, ranging from online to human voice analysis, to help improve communications with customers. Cogito’s software evaluates behavioral voice signatures to provide live conversation coaching for agents. There is a real-time measure of customer experience for every call.

Top Industries That Use Cogito

• Finance
• Insurance
• Healthcare
• Travel
• Retail

Cogito’s Solutions

• Cogito Dialog

iTechArt

Since 2002, iTechArt has provided fully dedicated engineering teams and custom software solutions. The company has dedicated teams leveraging big data development services to help clients manage data quickly. Headquartered in New York, iTechArt has been a trusted partner for growing startups and innovative companies.

Big Data Expertise

iTechArt’s big data services encompass every aspect of data engineering implementation, so they can power company-wide business transformations. iTechArt will gather, process, clean, and transform data for automated, streamlined business analysis.

Companies can also streamline existing data and integrate it with third-party systems to make a powerful, big-data solution. For example, data can be converted into user-friendly graphs, maps, and charts.

Top Industries That Use iTechArt

• Fintech
• Marketing and adtech
• Healthtech
• E-commerce
• Edtech
• Real estate
• Fitness and wellness
• Food and beverage
• iGaming
• Nonprofit

iTechArt’s Solutions

• Artificial neural networks
• AI algorithms and applications
• Natural language processing (NLP)
• IoT solution development
• Big data cluster management
• Parallel computing
• Graphics processing unit (GPU) processing
• Data governance
• Real-time and batch processing

Innowise Group

Founded in 2007, Innowise is a software development company that seeks to develop innovative technologies to serve the information technology sector in several key big data sectors. 

Big Data Expertise

Innowise Group provides big data development services that enhance companies’ productivity and efficiency, using cutting-edge modern technologies. Its big data solutions handle massive volumes of information and extract valuable insights to help make better decisions. Innowise builds data lakes; sets up extract, transform, load (ETL) and extract, load, transform (ELT) processes; and develops big data applications.

Top Industries That Use Innowise

• Healthcare and life sciences
• Finance, banking, and insurance
• E-commerce and retail
• Hi-Tech
• Education
• Telecommunications
• Automotive
• Media and entertainment
• Construction and real estate
• Energy and utilities
• Enterprise
• Public services
• Logistics and transportation
• Marketing and advertising
• Manufacturing

Innowise’s Solutions

• Big Data Consulting
• Big Data Development
• Big Data Analytics
• Big Data Visualization
• Big Data Mining
• Big Data Automation

Oxagile

Founded in 2005, with headquarters in New York, Oxagile has over 1 billion users. Oxagile made the journey from a startup to a mature software provider quickly and now boasts domain solutions for various industries.

Big Data Expertise

Oxagile will help businesses choose the right tools and implement a unified BI solution to help create a suitable, approachable, and scalable solution for any digital company.

Top Industries That Use Oxagile

• Media and entertainment
• Advertising
• Software and IT services
• Security and public safety
• Healthcare technology
• Sports and fitness
• Retail
• Finance and banking

Oxagile’s Solutions

• Data engineering
• Data analysis and visualization
• Data and pipeline migration
• Apache Hadoop
• Apache Spark
• Snowflake Data Cloud
• AWS integration

Integrate.io

Integrate.io is headquartered in San Francisco, California, and was founded in 2012. The company specializes in big data; software as a service (SaaS); and data management, processing, and integration. Calling themselves the “No-Code Data Pipeline Platform,” Integrate.io’s ETL and reverse ETL, ELT and change data capture (CDC), API generation, and observability platform helps companies evolve along their data journey.

Big Data Expertise

Integrate.io’s big data processing cloud service provides immediate results to businesses with its cloud-based data integration, ETL, and ELT platform. Able to streamline data processing, Integrate.io brings all data sources into one space.

Through this platform, organizations can process and prepare data for analysis on the cloud. Integrate.io allows businesses to benefit from big data company opportunities without investing in hardware, software, or data professionals.

Top Industries That Use Integrate.io

• E-commerce
• SaaS
• Media and entertainment
• Travel
• E-learning
• Healthcare

Integrate.io’s Solutions

• ETL and reverse ETL
• ELT and CDC
• API generation
• Data warehouse analytics
• Customer 360
• Data security
• Data ingestion
• Business intelligence

RightData

Founded in 2016 and headquartered in Atlanta, Georgia, RightData is a trusted total software platform that empowers end-to-end capabilities for current data, analytics, and machine learning needs. Its vision is to enable companies with end-to-end self-service tools that accelerate value creation from data, so they can arrive at the best decisions at the lowest cost in the quickest time.

Big Data Expertise

The combination of data integration Dextrus software and RDt data quality provides a comprehensive DataOps data software approach that unifies data scientists and business users. Dextrus accelerates the data ingestion, transformation, cleansing, and delivery of vast volumes of batch, streaming, and real-time data from diverse sources.

Moreover, RightData’s no-code product RDt tests, reconciles, and validates for integrity at every stage of the data journey.

Top Industries That Use RightData

• Healthcare
• Retail
• E-commerce and retail
• Hi-Tech
• Telecommunications
• Finance

RightData’s Solutions

• Dextrus
• RDt

ScienceSoft

Founded in 1989, ScienceSoft is a provider of IT consulting and software development services. ScienceSoft started as a small AI product company and switched to IT services in 2002. It aims to help non-IT organizations and software product companies improve business performance.

Big Data Expertise

ScienceSoft has been at the forefront of data management and AI since its beginnings. It works with mid- to large-sized businesses to build big data platforms and dedicated big data solutions.

Top Industries That Use ScienceSoft

• Healthcare
• Manufacturing
• Professional services
• Banking and financial services
• Insurance
• Retail
• Transportation and logistics
• Telecommunications
• Oil and gas

ScienceSoft’s Solutions

• CRM
• Marketing and advertising
• Human resources
• E-learning
• Document management
• Supply chain management
• Fleet management
• Kiosk software
• ERP
• Operations management
• Financial management
• Asset management
• Project management
• Data analytics
• E-commerce
• Web portals
• CMS

InData Labs

Located in Cyprus, Singapore, InData Labs was founded in 2014 by a video game industry veteran, bringing years of experience analyzing big data. InData Labs seeks to enable clients to get valuable insights into data, automate repetitive tasks, enhance performance, and add AI-driven features.

Big Data Expertise

InData’s big data expertise lies in its ability to build data lakes and warehouses, implement cutting-edge analytics, and develop big data applications. In addition, it has expertise in AWS and Azure.

Top Industries That Use InData Labs

• Healthcare and pharmaceuticals
• Games and entertainment
• Sports and wellness
• Automotive
• Fintech
• E-commerce
• Logistics
• Retail

InData Labs’s Solutions

• ​​Modern data architecture
• Data engineering services
• Big data analytics
• Data warehouse
• BI and data visualizations

TIBCO

TIBCO Software, a Cloud Software Group business unit, has its headquarters in Palo Alto, California. Founded in 1997, TIBCO’s then-revolutionary software enabled communication within the finance industry to occur in real time.

Big Data Expertise

TIBCO’s Spotfire excels at performing visual analytics. While Statistica is for moving data through complex pipelines. Alpine Data Labs was acquired by TIBCO, and the company’s advanced analytics interface on Apache Hadoop provides a visual environment for building analytics workflow and predictive models.

Top Industries That Use TIBCO

• Banking
• Credit union
• Energy
• Government
• Healthcare
• Insurance
• Law enforcement
• Manufacturing
• Retail
• Telecommunications
• Travel and transportation

TIBCO’s Solutions

• Spotfire
• Data science software

Striim

Striim was founded in 2012 and has headquarters in Palo Alto, California. This software developer focuses on combining streaming integration and intelligence in one platform.

Big Data Expertise

Striim’s streaming analytics platform connects clouds, data, and applications with unprecedented speed and simplicity. Striim is known for integrating a wide variety of data sources, such as transaction data capture events, log files, and IoT sensor data, using real-time correlation across multiple streams.

Top Industries That Use Striim

• Healthcare
• Logistic
• Retail
• Financial services
• Telecommunications

Striim’s Solutions

• Data modernization
• Real-time operations
• Data fabric and data mesh technology
• Digital customer experience
• Real-time analytics
• AWS
• Google Cloud
• Microsoft Azure
• Databricks
• Snowflake

Talend

This San Mateo-based company was founded in 2005 and is an open-source platform for software integration. Talend is a leader in data integration and uses its expertise to change the way the world makes big data decisions.

Big Data Expertise

Talend Data Fabric currently is the only platform that combines an extensive range of data integration and governance capabilities to manage corporate information.

Top Industries That Use Talend

• Financial services
• Healthcare
• Government
• Retail
• Telecommunications

Talend’s Solutions

• Talend Trust Score

What Exactly Does a Big Data Company Do? 

A big data company works with large amounts of data from various sources, including email, mobile apps, social networks, customer databases, and internet clickstream logs. Because this information can be used to define and drive best practice decisions across industries, it’s no surprise that a company will need a way to analyze it.

Most big data companies specialize in finance, healthcare, retail, and manufacturing, so one can imagine the massive amount of information within its framework. Yet it’s about something other than how huge their data information is; it’s about what companies do with this large amount of data.

Therefore, a company may use predictive analytics tools and artificial intelligence to help companies better understand information, such as historical data, while improving future business ventures.

Why Do Organizations Need a Big Data Solution? 

Big data can help organizations make better business decisions. With massive amounts of data at their disposal, big data companies need solutions to help parse all of the information into usable datasets. Big data helps businesses gain more insight into their customers, which in turn helps them stay ahead of the competition.

Big data can also help analyze risks and real-time business decision-making. Therefore, the more data companies have on their users, the better their business solutions can be.

For most businesses, employing a big data strategy comes from the need to analyze massive amounts of data to understand business insights quickly and holistically. Using information from technologies including data management applications, analytics, and cloud-based data mining tools, insights can be translated into familiar tools such as excel sheets, making it easier for professionals with non-technical backgrounds to analyze data and make better business decisions.