Find out about Big Data service providers in the world? (2022)

Forbes states that 95% of businesses report the need to manage unstructured data as a significant problem for them. So, no wonder that there is a soaring demand for quality Big Data professionals, especially within the relevant domain expertise. But how to choose theBig Data service provider that fits your specific business needs and can become your strategic partner?

We have compiled a list of top providers of Big Data consulting firms to help you make a well-grounded decision.

Methodology:

We have researched Big Data service providers from several points of view. We have considered their years of experience, customer reviews, rankings (4,7-5) on the directories, including Clutch.co, Manifest, and Goodfirms.

What’s more, we have browsed through their portfolios, websites, and LinkedIn profilesto help you make an informed decision and choose the best Big Data service provider.

We have researched the best Big Data service providers worldwide, so our list covers different locations (Eastern Europe, USA, UK, Latin America, India).

Here is the list of the best Big Data service providers that 1) focus mainly on Big Data and 2) offer wide-ranging expertise in Big Data, BI, Cloud Solutions, DevOps, Embedded, and more.

How to choose the best Big Data service provider?

There are some selection criteria that will be useful for you while choosing Big Data service providers that will meet your specific business requirements best.

  • Location

Businesses report the lack of Big Data professionals, which hampers the results of Big Data adoption. So, it is vital to choose a location with a large talent pool and low to medium competition for it. For instance, the competition for Big Data experts in the USA and UK is fierce, so it is a serious challenge to find talent promptly.

(Video) List of Big Data Service Providers

In comparison, the number of Data Scientists and Big Data engineers in Eastern Europe exceeds 150,000, according to Linkedin. What’s even more important is that there are no tech giants such as Amazon and Google, which usually allure the best talent.

Learn more about Big Data companies in Europe.

  • Comprehensive expertise

Choose Data analytics consulting companies with versatile expertise, including Big Data, BI, Machine Learning/AI, Cloud Solutions, DevOps, Security, migration to microservices, etc., to cover different needs. Look for Big Data service providers that can help you not only launch your Big Data direction but also scale it efficiently and integrate smoothly into your operations.

  • Portfolio

Choose Big Data service providers that have an extensive client portfolio. Check the projects these Big Data consulting firms were engaged in, as well as the reviews of the previous clients.

Also, your Big Data consulting company should have experience in working with clients in different industry domains.

All in all, it is reasonable to choose an established and well-structured yet agile and flexible Big Data services companies that can quickly respond to your needs. To learn more about the vendor selection criteria to consider in 2020 and beyond - check out our article.

Top Big Data service providers in the world

  1. N-iX

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N-iXis anEastern European software development outsourcing company with20 years in the market.The companyhas built long-term partnerships ( 5 + years) with businesses from the USA, UK, Germany, Nordic countries, and other locations. Some of the notable examples are Gogo, a global in-flight connectivity provider,with whom the vendor works on all their Big Data Analytics activities, and a multinational MVNO Lebara, whom N-iX helped build a data lake and streamline reports.

The Big Data service provider offers expertise inCloud ,Big Data ,Data Science, BI, DevOps,Machine Learning,Security, and many more. The N-iX Big Data engineers work with suchtools asApache Spark, Hadoop, Snowflake, EMR, BigQuery, Synapse Analytics, DataFactory, DataBricks, Kafka, AWS Kinesis, Kubernetes, Redshift, Hive, Athena, Apache Pulsar, and more.

(Video) Big Data Companies and Solutions

  1. ScienceSoft

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The company is aBelorussian Big Data service provider. It employs more than 500 employees. The vendor can help you with end-to-end software development, QA, Big Data analytics, cybersecurity, and platform-specific services, including Salesforce, Microsoft Dynamics 365, etc. TheBig Data consulting company cooperates mainly with midmarket and enterprise clients in banking, retail, healthcare, manufacturing, telecom, and entertainment. The vendor works with such Big Data analytics tools as Apache Hadoop, Apache Spark, Apache Cassandra, and more.

  1. Fayrix

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The Big Data analytics consulting company offers Big Data services, front-end development, back-end development, and mobile application development. The vendor cooperates primarily with small and mid-market businesses in education, healthcare, consumer products, telecom, transportation, and energy. The Big Data service analytics consulting company provides Big Data, Machine Learning, and predictive analytics services. It helps its clients with Big Data consulting, high load computing, mathematical modeling, and data management.

  1. Andersen

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Headquartered in Belarus, this is one of the top Big Data service providers in the country. The vendor also has offices in Finland, Ukraine, the USA, and other countries. The company was established in 2007 and provides IT outsourcing services to enterprises, mid-market companies, and small businesses. The Big Data services provider specializes in Big Data, BI, custom software development, and mobile app development.

  1. PSL Corp.

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This Big Data service provider has over 700 employees on board. The Big Data consulting firm is based in the USA but also has offices in Colombia. The company cooperates primarily with IT, advertising and marketing, finance, transportation, and other industries. The company uses such tools and technologies as Spark, Hadoop, Python, Scala, Kubernetes, and others for implementing Big Data analytics projects.

  1. Third Eye Data

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(Video) Big Data: What's in it for Service Providers?

This Silicon Valley-based provider of Big Data consulting services focuses on Data Science, Machine Learning, and Data Engineering and works primarily with enterprises and midmarket businesses in IT, retail, advertising, healthcare, and other industries. For Big Data engineering, they use Hadoop, Spark, Hive, Pig, and others. For building Data Science and ML models, they use Apache Spark.ML, Tensorflow, Caffe, etc.

  1. ScaleFocus

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Established in 2012, this Bulgaria-based Big Data enterprise analytics provider helps businesses with Cloud Operations, Data Management, Smart Automation, and Digital Transformation. It works primarily with mid-market businesses and enterprises in telecom, banking, fintech, insurance, and other industries. This Big Data services company helps businesses with customer analytics, operational analytics, compliance, and risk reporting.

  1. Trianz

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This Big Data analytics consulting company offers its clients expertise in Cloud, Big Data analytics, digital, infrastructure, and security paradigms. With offices in the USA, Dubai, and India, the vendor serves businesses in financial services, business services, healthcare, etc. In terms of Big Data, they use such tools and technologies as Hadoop, Microsoft BI, Oracle, Tableau, and many others.

  1. Keyrus

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This international Big Data services company employs over 3000 consultants. They offer BI and Big Data consulting, IT strategy consulting, Cloud consulting, digital strategy, and Artificial Intelligence. Their Big Data specialists can help you with Big Data solutions using Microsoft BI, Tableau, Microstrategy BI, and many others. The vendor cooperates with midmarket and enterprise clients from retail, business services, healthcare, and other industries.

  1. Treselle Systems

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Based in Chennai, India, this Big Data service provider also has an office in the USA and has over 16 years of experience in the global IT market. The company specializes in BI and Big Data consulting services as well as web development and Cloud consulting. Their Big Data specialists build solutions using primarily Hadoop, Mongo DB, and Tableau. Their Big Data solutions target compliance, fraud, and risk management, marketing analytics, and more.

(Video) Omidyar Network Learning Series: What is Big Data, Small Credit?

  1. Cartesian Consulting

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This Big Data consulting firm offers a wide array of services, including BI and Big Data consulting, CRM consulting, Artificial Intelligence, and more. Headquartered in Mumbai, India, it also has a few delivery centers in other Indian cities. The vendor helps its clients with marketing analytics, customer analytics, business analytics, and other services.

  1. BIX Technology

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This is one of the Data analytics consulting companies based in Brazil. Apart from BI and Big Data consulting services, they offer web development services and IT strategy consulting services. The vendor cooperates primarily with enterprise and mid-market businesses in consumer products and services, retail, manufacturing, and education. In terms of Big Data solutions, they use tools such as QlikTech BI, Microsoft BI, and others.

  1. Itransition

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Headquartered in Denver, the USA, this provider of Big Data service company also has offices in the UK and Belarus. The vendor offers custom software development services, BI and Big Data consulting, CRM consulting, and IT managed services. Their Big Data professionals can help you with data integration, migration, and security. The company cooperates with mid-market and enterprise-level clients from business services, financial services, media, retail, telecom, and many others.

  1. RapidOps Inc.

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This is one of the Big Data consulting firms that operate in the USA, Canada, and India. The vendor offers custom software development, enterprise app optimization, BI and Big Data consulting, and mobile application development. The majority of their clients are enterprises and mid-market businesses in retail, business services, and IT. Their professionals build Big Data solutions using Hadoop, Mongo DB, Splunk, Tableau, and others.

  1. Indium Software

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(Video) List of Big Data Service Providers {தமிழ்}

This Big Data consulting service company is headquartered in Princeton, New Jersey, with offices in Sunnyvale, Calif, London, Kuala Lumpur, Malaysia. Its global delivery centers are located in Chennai, India, and Bengaluru, India. The vendor has more than 500 employees on board. They provide services to small, mid-market, and enterprise-level clients. The company specializes in QA and testing, BI and Big Data consulting, as well as custom software development.

Why choose N-iX as your Big Data service provider?

  1. N-iX has been helping companies with Data Science and Big Data Analytics for over eight years.
  2. The company has a Data Science Center of Excellence and has 170+ experienced data analytics experts.
  3. N-iX professionals can help you with Big Data architecture design, cloud-based Big Data solutions, developing platforms for data-driven decision making, data science software, machine learning algorithms, and customized data science applications and reports.
  4. Our specialists have experience with Apache Spark and Hadoop as well as the Hadoop ecosystem’s key components, such as Hive, Flume, Pig, Impala, Oozie, etc. Also, they use Apache Airflow and AWS cloud computing products such as Lambda, EC2, S3, and SQS. We are also skilled in working with AWS analytical tools, like EMR and Kinesis.
  5. We have developed Big Data solutions for such industry leaders as Gogo, a multinational MVNO Lebara, a British fintech company, and Fortune 500 companies.

FAQs

What is the biggest data provider? ›

IBM is the biggest vendor for Big Data-related products and services. IBM Big Data solutions provide features such as store data, manage data and analyze data.

What are big data services? ›

Oracle Big Data Service is a fully managed, automated cloud service that provides enterprises with a cost-effective Hadoop environment. Customers easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data.

What is data service provider? ›

Data services in IT is a term for a third-party services that help to manage data for clients. Many uses of this term involve services that are also called “data as a service” (DaaS) – these are Web-delivered services offered by cloud vendors that perform various functions on data.

Which are the top 5 sources of big data? ›

The Primary Sources of Big Data:
  • Machine Data. In-Demand Software Development Skills.
  • Social Data.
  • Transactional Data.
Sep 27, 2021

Who is the owner of big data? ›

The United States Federal Government owns five of the ten most powerful supercomputers in the world. The Utah Data Center has been constructed by the United States National Security Agency. When finished, the facility will be able to handle a large amount of information collected by the NSA over the Internet.

What are examples of big data? ›

Big data comes from myriad sources -- some examples are transaction processing systems, customer databases, documents, emails, medical records, internet clickstream logs, mobile apps and social networks.

What is AWS in big data? ›

Amazon Web Services provides a broad and fully integrated portfolio of cloud computing services to help you build, secure, and deploy your big data applications. With AWS, there's no hardware to procure, and no infrastructure to maintain and scale, so you can focus your resources on uncovering new insights.

What sorts of services do these big data providers sell to their clients? ›

The big data service provider discovers the value of real-time data while optimizing digital strategy efficiently. It offers a wide range of services such as artificial intelligence, intelligent automation, enterprise performance management, and technology modernization.

How does Oracle use big data? ›

Oracle big data services help data professionals manage, catalog, and process raw data. Oracle offers object storage and Hadoop-based data lakes for persistence, Spark for processing, and analysis through Oracle Cloud SQL or the customer's analytical tool of choice. Data is the raw material for machine learning.

What are data services examples? ›

Examples of DaaS

Urban Mapping, a geography data service, provides data for customers to embed into their own websites and applications. Xignite is a company that makes financial data available to customers. D&B Hoovers provides customers with business data on various organizations.

What are the five Internet services? ›

The most common types of internet connections include:
  • DSL (digital subscriber line)
  • cable broadband.
  • fibre optic broadband.
  • wireless or Wi-Fi broadband.
  • satellite and mobile broadband.
  • dedicated leased line.

How do companies use big data? ›

Using those disciplines, big data analytics applications help businesses better understand customers, identify operational issues, detect fraudulent transactions and manage supply chains, among other uses.

Why is big data important? ›

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.

What are the 3 types of big data? ›

Big data is classified in three ways: Structured Data. Unstructured Data. Semi-Structured Data.

How many GB is big data? ›

“Big data” is a term relative to the available computing and storage power on the market — so in 1999, one gigabyte (1 GB) was considered big data. Today, it may consist of petabytes (1,024 terabytes) or exabytes (1,024 petabytes) of information, including billions or even trillions of records from millions of people.

What started big data? ›

History of big data

The first trace of big data is seen way back in 1663 when John Graunt dealt with overwhelming amounts of information while he studied the bubonic plague, which was haunting Europe at the time. Graunt was the first-ever person to use statistical data analysis.

What are the 5 characteristics of big data? ›

Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.

Which big data technology is in demand? ›

Machine learning, AI, and Natural Language Processing (NLP)

The widening digital skills gap means that organizations all over the world are in a never-ending race to snap up big data professionals with machine learning, AI, and NLP skills—with the global machine learning market forecasted to hit $209 billion by 2029.

What is azure big data? ›

Azure Data Lake is a big data solution based on multiple cloud services in the Microsoft Azure ecosystem. It allows organizations to ingest multiple data sets, including structured, unstructured, and semi-structured data, into an infinitely scalable data lake enabling storage, processing, and analytics.

How does Netflix use big data? ›

Netflix itself automatically collects other forms of data, such as the platform used to watch Netflix, a user's watch history, search queries, and time spent watching a show. The company also collects some bits of data from other sources, such as demographic data, interest-based data, and Internet browsing behavior.

Which is better AWS or big data? ›

Big data is a large amount of data, whereas AWS is a platform used to access the data. The two systems work together to produce efficient results. Amazon Web Services now provides companies to run big data using the AWS cloud. The AWS is developed to manage services that are fast yet cost-effective.

Does Google use big data? ›

Google uses big data to understand what we want from it based on several parameters such as search history, locations, trends, and many more.

What is the future of big data? ›

In the future, big data analytics will increasingly focus on data freshness with the ultimate goal of real-time analysis, enabling better-informed decisions and increased competitiveness.

How is big data used in Facebook? ›

Tracking cookies: Facebook tracks its users across the web by using tracking cookies. If a user is logged into Facebook and simultaneously browses other websites, Facebook can track the sites they are visiting.

What is Oracle Big Data service? ›

Oracle Big Data Service is a fully managed, automated cloud service that provides enterprises with a cost-effective Hadoop environment. Customers easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data.

Can SQL handle big data? ›

It's really a myth. SQL is definitely suitable for developing big data systems. Maybe not for all big data systems, but that applies to every technology. No database technology is perfect for every possible type of big data system.

Where is big data stored? ›

Because data would be too large to store and process, Big Data is handled differently in storage. Instead of a database on a computer, one storage place for Big Data is a Data Warehouse.

Why are data services important? ›

Data services are self-contained units of software functions that give data characteristics it doesn't already have. Data services can make data more available, resilient, and comprehensible, which makes data more useful to users and programs. Data service functions turn inputs into outputs.

What are the benefits of data as a service? ›

Benefits of data as a service

They include: Minimal setup time: Organizations can begin storing and processing data almost immediately using a DaaS solution. Improved functionality: Cloud infrastructure is less likely to fail, making DaaS workloads less prone to downtime or disruptions.

What is data service platform? ›

Data Services Platform enables organizations to consolidate, integrate, and transform as needed disparate data sources scattered throughout their enterprise, making enterprise data available as an easy-to-access, reusable commodity: a data service.

How many types of data systems are there? ›

This brief describes the characteristics of four common types of data systems: static/reporting, transactional, federated, and centralized.

What is data services Group? ›

DATA SERVICE GROUP Inc. is a set of highly skilled IT professionals located in Bear DE . We bring specialized IT solutions to meet your business needs that ranges from Technical Support, a powerful, secure and scalable network solutions to our clients and their businesses. Website https://www.dataservicegroup.com.

What is content data services? ›

Content services encompass content management, collaboration and dissemination through services that coordinate content input and usage by users, systems and applications. Content services provide insights from the content and pave the way for businesses to gain value from data.

What are the 8 types of internet? ›

Some of the most widely used Internet connections are described below.
  • Mobile. Many cell phone and smartphone providers offer voice plans with Internet access. ...
  • WiFi Hotspots. ...
  • Dial-Up. ...
  • Broadband. ...
  • DSL. ...
  • Cable. ...
  • Satellite. ...
  • ISDN.

What is the most popular Internet service? ›

Our Best Internet Service Providers Rating
  • #1 AT&T Internet.
  • #1 Verizon Internet.
  • #3 Xfinity Internet.
  • #4 Cox Internet.
  • #5 Spectrum Internet.
  • #5 Mediacom Internet.
  • #7 Astound Broadband.
  • #8 CenturyLink Internet.
Sep 16, 2022

What is an example of an Internet service provider? ›

An Internet Service Provider (ISP) is a company such as AT&T, Verizon, Comcast, or Spectrum that provides Internet access to companies, families, and even mobile users. ISPs use fiber-optics, satellite, copper wire, and other forms to provide Internet access to its customers.

Who collects big data on us? ›

Social networks are one of the biggest sources of collecting consumer 'big data'. Just to give you an idea, an average user of these platforms easily spends around 2 – 3 hours daily, with their activities online showing a lot about them. All of these websites are a large provider of big data.

Is Tesla a data company? ›

Tesla is a data-driven company. Before making cars, Tesla built a large database of consumers interested in buying the latest drive technology. It began recording all data generated by the car and the consumer in all aspects of product use.

Who are snowflakes competitors? ›

Competitors and Alternatives to Snowflake Data Cloud
  • MongoDB.
  • Oracle Database.
  • Amazon Redshift.
  • DataStax Enterprise.
  • Redis Enterprise Cloud.
  • Cloudera Enterprise Data Hub.
  • Db2.
  • Couchbase Server.

Does Google use big data? ›

Google uses big data to understand what we want from it based on several parameters such as search history, locations, trends, and many more.

What is the future of big data? ›

In the future, big data analytics will increasingly focus on data freshness with the ultimate goal of real-time analysis, enabling better-informed decisions and increased competitiveness.

Which is the best company for data analytics? ›

10 Best Data Analytics Companies to Start Your Career
  • BRIDGEi2i Analytics. ...
  • Mu Sigma. ...
  • Convergytics. ...
  • Tiger Analytics. ...
  • LatentView Analytics. ...
  • SIBIA Analytics. ...
  • DeepMind. ...
  • Tableau. Tableau is one of the top data analytics companies to start a big data career in 2022.
Jun 11, 2022

How is Netflix using big data? ›

By applying a series of algorithms to this data, Netflix is able to not only predict what you're likely to watch next, but arrange selections into rows based on an individual's viewing preferences.

Why do companies use big data? ›

Using those disciplines, big data analytics applications help businesses better understand customers, identify operational issues, detect fraudulent transactions and manage supply chains, among other uses.

How does Apple use big data? ›

Using big data Apple can discover how people are using apps in real life and alter future designs to fit with customer tendencies. The Apple Watch is a good example of Apple's strategy of capitalizing on big data. The Apple Watch has the potential to revolutionize not just wearables in general but data gathering.

How does Tesla use big data? ›

Big data helps Tesla to reduce costs, identify market opportunities, satisfy customers, develop new products and improve its cars.

Which cloud does Tesla use? ›

Not surprisingly, Tesla had already experienced a breach in their Amazon cloud account. It is unclear whether it was one hacker or a group of hackers, but according to security researchers, the hack was used to “mine” cryptocurrency while consequently exposing proprietary data.

What language does Tesla use for AI? ›

You will compose algorithms, primarily in Python, to process massive amounts of fleet data for offline processing.

Why is Snowflake so popular? ›

On-demand pricing. Like all cloud vendors, Snowflake uses an on-demand cost model. Data warehouse pricing can get complicated at the best of times, so many customers appreciate Snowflake's (relative) simplicity and transparency.

Is Snowflake better than Oracle? ›

Snowflake might be easier to use and work out cheaper because of its ability to pause clusters when not running queries. However, Oracle comes with support for cursors and in-built machine learning capabilities, helping you program and generate advanced insights from workloads.

How is Snowflake better than AWS? ›

Snowflake Data Warehouse

Instead, AWS Snowflake uses a structured query language (SQL) database engine with an architecture specifically designed for the cloud. Compared to traditional data warehouses, Snowflake is incredibly fast, flexible, and user-friendly.

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