It is hard not to feel overwhelmed and confused with vast amounts of information passing through us as individuals today. Let alone the volume of data business companies has to deal with. Customer data, behavior trends, product preferences, location, availability, specifications, and so on and so on. Hence, big data solutions have emerged to help analyze and categorize information, as well as to predict market trends. Big data companies vary in fields (and level) of expertise, so why not take a look at top providers as a start?
Big data, in a certain way, stand apart from other technologies. It is still evolving, there’s no established leading vendor. Although almost every tech company in every market tier – from IBM and Microsoft to small software agencies got into big data early.
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What is Big Data?
According to Wikipedia, big data is a complex set of information too big for conventional software to handle. It is challenging in terms of capturing data, storage, analysis, search, transfer, visualization, updating. The big data concept refers to processes of a different processing approach, namely massive parallelism on hardware.
Most of today’s tech data come unstructured and unprocessed. In such raw form, it has little or no value, it has to be processed and analyzed to become valuable. Thus, the big data term refers to predictive analytics tools, user behavior analytics, and other methods to extract value.
Best Big Data Software Companies
01 of 05
IBM’s history starts back in 1928, and since that, the company has been one of the greatest information technology and service providers. Today, the company employs nearly 350,000 people worldwide, and IBM’s portfolio is filled with projects for world-renowned companies and brands.
When it comes to big data and analytics consulting services, IBM is about to empower its clients with the best operational and analytical abilities of data capture, store, and analysis. Digital insights, digital integration for intelligent workflows, data visualization, advanced analytics and ML, business intelligence, marketing analytics, and even data solutions for weather targeting – IBM is there and ready to boost business data use at a new level. Among big data company’s clients, there are Volkswagen, Delfi, and Kraft Heinz.
Headquarters: Armonk, NY, US / Founded: 1928 / Employees: 350 000+ / Contact: +800-426-4968
02 of 05
In no way yielding to IBM, Oracle has a lot to offer in terms of big data too. The company works on simplifying all processes with data, their cloud platform is able to unify various data operations.
Autonomous Data Warehouse Cloud platform does not only combine over 2,000 SaaS applications, but also provides analytics models, dashboards, and machine-learning capabilities. All Oracle products and services are focused on three key aspects:
- big data integration (Data Integration Platform Cloud, Stream Analytics, Event Hub Cloud Service),
- big data management (Big Data Cloud, Cloud at Customer, Big Data Cloud Service, Big Data SQL, NoSQL Database),
- big data analytics (Analytics Cloud, Big Data Spatial and Graph, R Advanced Analytics for Hadoop).
Headquarters: Redwood Shores, US / Founded: 1977 / Employees: 165 627 / Contact: +18006330738
03 of 05
ScienceSoft plans, designs, develops, deploys, supports and evolves organization-wide big data platforms and dedicated big data solutions for midsize/large enterprises and independent software vendors. The company has 33 years in custom software development, data management, data analytics and data science, and in-house IT consultants in 30+ major business industries.
ScienceSoft helps to create big data solution architectures, tune their performance, ensure security and fault tolerance, optimize the costs of big data infrastructures, build reliable integrations between the components of big data solutions, develop fast and reliable custom code, train ML models and integrate them into a big data solution.
Headquarters: McKinney, TX, US / Founded: 1989 / Employees: 700 / Contact: +19724544730
04 of 05
Continuing our list of big data companies, let’s see what Amazon Web Service can offer. AWS is widely known for its cloud computing products, but what is more important, it could be your answer to dealing with data. Amazon has released over 50 services, able to cope with development and deploying big data analytics applications.
Amazon frameworks, Hadoop & Spark, Elasticsearch, Interactive Query Service, remain central products, while Kinesis Firehose/Streams/Analytics is in use to stream data. Amazon also provides six equally secure big data storage and databases – Object Storage, NoSQL, Graph Databases, HBase on Amazon EMR, Amazon Aurora, and Relational Databases.
Headquarters: Seattle, US / Founded: 1994 / Employees: 29 312
05 of 05
On par with others, Google puts a lot of effort into big data services. One product example is BigQuery, a “serverless data warehouse” for real-time analytics, advanced security standards, and speed.
Another step in direction of coping with volumes of data in Cloud Dataflow. This is a service that helps to transform data in real-time, as well as integrate with GCP services. Very often Dataflow features are compared to another data product, Dataproc for data clusters creation.
Headquarters: Mountain View, US / Founded: 1998 / Employees: 139 121 / Contact: +18446137589
Best Big Data Analytics Companies
01 of 05
Being named as one of the best big data companies in recent years, Denologix also has an astonishing portfolio: Adidas, Empire Foods, City Bank, Munich RE, NHS, Scotiabank. The agency offers a wide range of solutions, including data management/integration, business intelligence (BI).
Most efforts center around marketing analytics, operations, and process improvement, compliance, fraud and risk management, crime prevention. Denologix has developed solutions such as dxANALYTICS for finances, dxINDEX for data accuracy index, dxCRYSTAL for data cleansing, etc.
Hourly rate: $150 – $199/ Headquarters: Toronto, Canada / Founded: 2002 / Employees: 19 / Contact: +18003931203
02 of 05
More than 50 data scientists, data analysts, and developers from Fayrix are engaged in big data products for increasing sales, risk management, business process optimization. Based on this company’s 2017 achievements, it was listed as one of the top big data companies by Clutch and Kaggle.
Fayrix combines AI and machine learning to advance processing big volumes of data. They offer services like high-performance computing, simulation modeling, data governance strategy, big data infrastructure, etc. Besides data services, Fayrix also successfully works in software and mobile development.
Hourly rate: < $25 / Headquarters: Herzliya, Israel / Founded: 2005/ Employees: 111/ Contact: +97293740180
03 of 05
From the heart of Silicon Valley, ThirdEye Data became a world-known big data provider. The company has been heavily focusing on solving 3 data problems – volume, velocity, and variety. And now it is able to offer big data sets, real-time, and predictive analytics, cloud computing, etc.
Working with such open-source tools as Kafka, MongoDB, Redis, TEZ, Apache Drill, Spark SQL, and platforms like Amazon AWS, Microsoft Azure, ThirdEye Data is specializing in data management, data cleansing, data conversion, and so forth.
Hourly rate: $50 – $99 / Headquarters: Santa Clara, US / Founded: 2010 / Employees: 50 / Contact: +14084625257
04 of 05
Pragmatic Works is not just Microsoft’s premier cloud and data partner, but also a provider of products like Workbench, Task Factory, DOC, xPress, BI xPress, DBA xPress. Workbench, for instance, is worth mentioning – it comes with capabilities to audit/monitor data, validates cross-platform data, unit test databases.
Hourly rate: $150 – $199/ Headquarters: Fleming Island, US / Founded: 2007 / Employees: 91/ Contact: +19044131911
05 of 05
Specialized in Business Intelligence, Data Analytics, and Business Automation solutions, cBEYONData became a first-aid in enhancement and automation of business processes, cloud migrations and enablement, agile project and process management, dashboards, and geo-mapping.
Lately, the company has launched CFO Control Tower, a scalable toolkit for financial systems, featured with such components as budget management, procurement, financial reporting, audit, payroll, and others to be able analysis and predict inside and outside data torrents, automate processes.
Hourly rate: $100 – $149 / Headquarters: Lorton, US / Founded: 2011 / Employees: 34 / Contact: +17036905730
Big Data Companies in Marketing/BI
01 of 05
Solutions for healthcare, finance, retail, education, telecom, manufacturing, transportation, and logistics. Oriented on increasing market speed, profit, and revenue, lowering costs, this big data company has in its arsenal a variety of products and services. Namely data monetization roadmaps, architecture, lean analytics, dashboards, competitive intelligence, proof of value, predictive analytics.
CBIG also has released few frameworks – CBIG Framework for integrating data from blogs, Facebook, emails, or Internet search. Or Frogpoint, a tool for centralized documentation and tracking issues/bugs through a web browser.
Hourly rate: $150 – $199 / Headquarters: Chicago, US / Founded: 2002 / Employees: 43 /
02 of 05
Sigma Data Systems
Sigma Data Systems works with big data since 2010 when it was established. Their focus of interest is the development of solutions for storing and processing large massives of data using advanced data science algorithms.
Their data engineers have experience in working with more than 30 different systems and frameworks. Thanks to this they are very versatile and flexible in the development and integration of multileveled data systems. Sigma Data Systems developers’ qualifications are also confirmed by the certificate of compliance to the third level of CMMI and certified partnership with AWS.
The company’s portfolio includes various commercial clients in Business Intelligence, Security, and Training. Their innovative security system for a mall uses big data algorithms to recognize suspicious customer behavior from real-time surveillance cameras.
Headquarters: Sunnyvale, CA, US / Founded: 2010 / Employees: 200+ / Contact: +15166068934
03 of 05
Beyond the Arc
A US company producing advanced big data tools to predict and analyze customer behavior patterns. Especially in regards to social media, social content, customer experience and acquisition, brand loyalty. The company has been working with more than 250 clients from multiple industries, e.g. Fremont Bank, Imation, The New York Times, Wells Fargo.
Hourly rate: $200 – $300 / Headquarters: Berkeley, US / Founded: 2001 / Employees: 13/ Contact: +18776763743
04 of 05
One of the key factors in prediction revenues and product trends, according to LatentView Analytics, is “a 360-degree view of the digital consumer”. Therefore, the company provides services to gather huge amounts of data from different sources, process it, and produce an action plan for further actions.
Based on three essential elements – Business, Data, and Math, the team created over 20 automated analytics solutions. One of them, for example, Amplifier is aimed at discovering insights or take Panel Miner – for general analysis of customer experience from digital resources.
Hourly rate: $150 – $199 / Headquarters: Princeton, US / Founded: 2006 / Employees: 627 / Contact: +16097344300
05 of 05
Treehouse Technology Group
Treehouse Technology Group is a technology strategy and software development and integration firm. They provide both product and strategy consulting, in addition to technical implementation and project execution. They believe in an independent approach to technology solutions and work with firms to define, deliver and execute their technology strategy.
Accordingly, they perform vendor analysis and technical development based on industry best practices. When an off-the-shelf solution does not meet the needs of its partners, custom application development is necessary. So TTG team builds custom solutions that support the ever-changing business environment.
As one of the leading UK big data companies, they focus on business value first, aligning the strategy with specific technical needs, providing a technology roadmap for business vision. By working closely with their partners and obtaining feedback along the way, they guarantee a positive experience that yields fruitful results.
Headquarters: Manchester, NH / Founded: 2014/ Employees: 18/ Contact: firstname.lastname@example.org/ 617-488-9192
Feel free to contact us via email@example.com you want to place your company here.
More on the topic of big data
Companies, referred here generally as “big data companies”, are a pretty diverse bunch. Big data is one of the largest areas in IT outsourcing today, and evidently, services differ in the amount of data processing, tools, technologies, methods, and client specifications, naturally. Typical big data services are:
- Big data strategy consulting: case assessment, big data strategy outlining, proof of concept, recommendations;
- Data infrastructure setup and support;
- Big data development and maintenance: custom application development, big data integration with existing data sources, migration;
- Big data analytics: statistical analysis, data mining, modeling, forecast, data visualization.
The process may involve tasks/stages like consulting/strategy (market information, ROI metrics, data type and volume, aggregation methods, etc.), data collection (databases, logs, social networks, Internet, email, mobile devices – as potential sources; removal of data inconsistencies, etc.), analytics (detection of patterns, correlations, trends, consumer preferences, etc.), visualization (charts, diagrams, animations to aid decision making).
How much does big data cost?
Firstly, suppliers do not disclose information about the cost of big data projects. Secondly, project specifications and business goals impact the cost of data collection and analysis differently every time. General factors of cost estimation enlist the following: data sources, a system of data management, data diversity, level of post-processing.
If you know how long and how many experts will it take to implement your project, you may calculate, though approximately, how much it will cost to create a software solution for big data, based on hourly rates:
|US||Western Europe||Eastern Europe|
Also, thanks to Amazon research, we know that the cost of data storage is around $19,000 – $25,000 per terabyte per year. Take, for example, an average company with a modest 40TB repository, and it alone piles up to $760,000 – $1M annually.
How can industries benefit from big data?
Healthcare. Big data could be used to improve the quality of medical services. Tempus, for instance, provides the world’s most extensive library of molecular and clinical data of laboratory reports, clinical notes, radiographs, and pathology images accessible in real-time. The base allows doctors to expedite research and draw up more informed treatment plans. More examples are Flatiron Health, PeraHealth, Digital Reasoning Systems, Amitech.
Manufacturing. BMW used big data to identify vulnerabilities in cars by collecting information about vehicles in use and prototypes. This helped to improve vehicles and reduce errors, as well as bring down the cost of warranty service.
Transportation. Consider Uber – the company uses a vast amount of data (about drivers, passengers, vehicles, locations) to predict the supply, demand, location of drivers, and tariffs for each ride. Big data also helps in route planning.
Food and beverage. A striking example is Coca-Cola, utilizing big data analytics to boost customer acquisition and retention. Back in 2015, Coca-Cola created a digitally controlled loyalty program. Big data aided in better product quality, based on user preferences.
Retail. Big data is similarly essential, through customer preferences identification, for eCommerce and retail. Take Amazon Fresh and Whole Foods who are constantly monitoring and studying customer purchase trends and adjusting the process.
Entertainment. Netflix, with 115 million subscribers, has been collecting data about audience habits for over six years. And thanks to it they provide targeted content, measure customer engagement, optimize video streams, etc. So far, Netflix has earned $1 billion due to positive customer retention.
Big data trends for 2020 – 2025
- Big Data in the cloud. Big data is growing with a geometric progression, which soon could lead to its global migration to the cloud. It is believed that the worldwide database will reach 175 zettabytes by 2025. Currently, open-source ecosystems such as Hadoop and NoSQL deal with data storing and processing.
- Natural-language processing. To date, the recognition, interpretation, and mechanics of natural language have improved so much that they will allow extracting data from voice commands. Results could be especially visible in logistics areas.
- Predictive analytics will always be essential for appropriate decision-making.
- In-memory processing. By 2025, more than 1/4 of global data is predicted to be created in real-time. It will require powerful CPUs and in-memory processing.
- Security. Big data from new and emerging sources bring up vulnerabilities for confidential information, therefore the issue of security will be significant.
P.S. Find out more about Top eCommerce companies, Mobile app companies, Cloud computing companies.
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Which company is best for data analytics? ›
- 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.
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.What is the next big thing in data analytics? ›
This is a data analytics concept that automates the analysis of large amounts of data using AI, machine learning, and Natural Language Processing technologies to offer real-time insights.
The future of business intelligence is likely to be much more automated and aggressively utilized, with fewer bottlenecks in terms of interface limitations and the free flow of data. Future BI trends are all part of a quickly evolving model that is essential to the progression of modern businesses.What is a big data analytics company? ›
Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions.Which company pays highest salary for data analyst? ›
|Name of the Company||Average Salary per year|
|Pacific Gas and Electric Company (PG&E)||$127,159|
One of the biggest data trends for 2022 is the increase in the use of hybrid cloud services and cloud computation. Public clouds are cost-effective but do not provide high security whereas a private cloud is secure but more expensive.What are the key data trends for 2022? ›
The key trends in today's fast-paced market are Data Science, Big Data Analytics, and Artificial Intelligence. The Data analytics industry is expanding rapidly as more companies adopt data-driven models to streamline their business processes.What are the upcoming trends in big data? ›
Taking this into considerations, XDR (Extended Detection and Response) and SOAR have been introduced which helps in detecting any cyber-attack by applying advanced security analytics into their network. Therefore, it is and will be one of the major trends for 2022 in big data and analytics.Which is better business analytics or business intelligence? ›
The primary distinction between business intelligence and business analytics is the focus on when events occur. Business intelligence is focused on current and past events that are captured in the data. Business analytics is focused on what's most likely to happen in the future.
Which is Better business analyst or business intelligence? ›
Business Intelligence is useful for running current business operations, and Business Analytics is useful for improving productivity and changing business operations for better results. BI is usually applied in all large-scale companies that focus on running current business operations.What is the future for business analytics? ›
The scope in the area of business analytics is ever growing and is improving it enhance mainstream as businesses of all sizes and analytics skill levels get into the big data game. Exploring business analytics requires the proper focus, best technology, right people, clean culture and best management promise.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.
- Banking and Securities.
- Communications, Media and Entertainment.
- Healthcare Providers.
- Manufacturing and Natural Resources.
- Retail and Wholesale trade.
Big data is classified in three ways: Structured Data. Unstructured Data. Semi-Structured Data.What are 4 V's of big data? ›
Most people determine data is “big” if it has the four Vs—volume, velocity, variety and veracity.Is big data analytics and data analytics same? ›
While big data helps banking, retail, and other industries by supplying important technologies like fraud-detection and operational analysis systems, data analytics enables industries like banking, energy management, healthcare, travel, and transport develop new advancements by utilizing historical, and data-based ...Can data analysts make 6 figures? ›
Data analysts make from $43,000 to six-figure salaries, with the potential to earn even more in bonuses, commissions, and profit-sharing. Many analysts advance to higher-paying roles.Which data analyst makes most money? ›
- Data Engineer. Data engineers are responsible for identifying trends and anomalies in data sets. ...
- IT Systems Analyst. ...
- Marketing Analyst. ...
- Quantitative Analyst. ...
- Data Architect. ...
- Database Administrator. ...
- Data Analyst. ...
- Business Intelligence Analyst.
Candidates with advanced skills or at least three years of work experience on their resume can earn an average salary of over $100,000 per year.
What are the future trends in data analytics? ›
Data-as-a-Service will Become Strategic
Data-as-a-service (DaaS) will become a more widespread solution for data integration, management, storage, and analytics, as more and more businesses are increasingly turning to the cloud to modernize their infrastructure and workloads.
- Insight to action. ...
- More AI and machine learning. ...
- External data. ...
- Cost control. ...
- Real-time decision-making.
The Cloud Will Become a No-Brainer
In fact, Gartner predicts that public cloud services will be essential for 90% of data and analytics innovation by 2022 alone.
Revenue from big data and business analytics worldwide from 2015 to 2022 (in billion U.S. dollars)
|Characteristic||Revenue in billion U.S. dollars|
One-click results, drag-and-drop buckets, and intuitive layouts are significant trends in digital analytics.What field is data analytics? ›
Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed. The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.Where is the big data trend going? ›
Big data storage needs spur innovations in cloud and hybrid cloud platforms, growth of data lakes. To deal with the inexorable increase in data generation, organizations are spending more of their resources storing this data in a range of cloud-based and hybrid cloud systems optimized for all the V's of big data.Is big data still hot? ›
Huge Job Opportunities & Meeting the Skill Gap:
In spite of Big Data Analytics being a 'Hot' job, there is still a large number of unfilled jobs across the globe due to shortage of required skill.
- (1) Alabs.ai.
- (2) Accenture Analytics.
- (3) Gramener.
- (4) Datalicious.
- (5) Crayon Data.
- (6) Convergytics.
- Cigna. 3.7. 4,904 reviews.
- Wells Fargo. 3.7. 43,062 reviews.
- JPMorgan Chase & Co. 3.9. 17,709 reviews.
- AT&T. 3.7. 43,153 reviews.
- Apple. 4.1. 11,297 reviews.
Does Google need data analysts? ›
Data analyst roles at Google require high-level field qualifications and extensive industry experience, setting a very high standard for hiring. They only take on qualified candidates with at least three years of industry experience in data analysis or related quantitative fields.What companies Analyse data? ›
- HR Wallingford.
- Bristol Myers-Squibb.
Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed. The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.Is Tiger analytics good to join? ›
Tiger Analytics is rated 3.8 out of 5, based on 151 reviews by employees on AmbitionBox. Tiger Analytics is known for Company culture which is rated at the top and given a rating of 3.8. However, Career growth is rated the lowest at 3.6 and can be improved.Which is better Tiger Analytics or fractal analytics? ›
Fractal scored higher in 8 areas: Overall Rating, Culture & Values, Diversity & Inclusion, Work-life balance, Senior Management, CEO Approval, Recommend to a friend and Positive Business Outlook. Tiger Analytics scored higher in 1 area: Compensation & Benefits.Are data analysts in demand? ›
The Data analyst job market is predicted to grow by 23% between now and 2031 according to the US Bureau of Labor Statistics—and companies are prepared to pay extremely competitive salaries.Which country has the highest demand for data science? ›
- United States. Data scientists in the US are paid handsome salaries amounting to USD 165,000 on average per year. ...
- Switzerland. In Switzerland, data scientists earn an average salary of USD140,000 annually. ...
- UK. ...
- Australia. ...
- Israel. ...
- China. ...
- Canada. ...
But, it doesn't mean that IBM data analyst is not good. Especially if you are looking for a course in your native language or you want to learn Data Analytics using Python. But if we compare it with Google Data Analytics Certification, then Google Data Analytics Certification is much better than IBM Data Analyst.Can I complete Google data analytics course in 1 month? ›
Time Investment and Certification
The total time needed to complete the Google Data Analytics Certification is 181 hours. You can split this into 8 months studying around 20 hours per month. To get the Google Data Analytics Certificate, you need to complete eight courses including all graded assignments and exams.
Yes, data analytics is a very good career. Simply put, there has never been a better time to be a data professional. About 2.5 quintillion bytes of data are created every day—and that pace is only quickening.
How many companies use big data analytics? ›
52% of companies worldwide leverage advanced and predictive analytics (MicroStrategy, 2020). 59% of organizations around the world use big data analytics (MicroStrategy, 2020). 30% – the growth rate of insights-driven businesses (Forrester, 2018).Who is the biggest data collector? ›
Google collects the most amount of data out of its users, according to a new study done on companies that collect them.Who is the biggest data mining company? ›
- BenchSci. Private Company. Founded 2015. ...
- Meniga. Private Company. Founded 2009. ...
- Blickfeld. Private Company. Founded 2017. ...
- UpTake Networks. Private Company. Founded 2014. ...
- Healx. Private Company. Founded 2014. ...
- Bitfury. Private Company. Founded 2011. ...
- Algolia. Private Company. Founded 2012. ...
- Dataminr. Private Company.