Big Data is a term used to describe massive amounts of structured and unstructured data. The data is the property of various organizations, each of which uses it for various objectives. Therefore, having a lot of data is not crucial; what is crucial is how businesses use this data. Big Data is a term used to describe data sets that are so large and intricate that they cannot be handled by conventional data processing software.
The management of such a large amount of data presents difficulties in terms of data collection, storage, analysis, transfer, and sharing, among other things. The 3V model, which stands for “High Volume,” “High Velocity,” and “High Variety,” describes big data. Big Data’s significance is determined by what you do with the data, not by the volume of data that is present.
In the modern world, you can discover the causes of failure, recalculate risk profiles, etc., by gathering data. It also promotes cost savings and quicker decision-making. Businesses may instantly examine information or data with the aid of Hadoop technology and cloud-based analytics, accelerating the decision-making process.
Top 10 Best Big Data Companies
We have compiled a list of the Top 10 Best Big Data Companies. Let’s have a look at the list given below.
1. iTechArt
Since 2002, iTechArt has been the go-to partner for innovative businesses and fast-growing startups by offering fully dedicated engineering teams. With its global headquarters in New York, the business has more than 200 active clients, 90% of whom are engaged in cutting-edge ventures in new industries and technology. Their specialty is developing agile, focused engineering teams that use tried-and-true big data development services to assist clients in managing data more effectively and efficiently.
2. InData Labs
A leading provider of Big Data and AI technology is InData Labs. The business has been creating AI-powered solutions since 2014 and has a demonstrated track record of projects for numerous industries. Big Data, data science, and AI-powered software development are the areas of expertise of InData Labs.
3. ScienceSoft
ScienceSoft, a pioneer in data management and AI since 1989, is a dependable partner for medium-sized and large companies to create enterprise-wide big data platforms and specialized big data solutions. The company’s 700+ professionals across the globe represent an unrivaled combination of creativity, innovation, and 7–20 years of expertise in more than 30 sectors. Clients of ScienceSoft regard the company as transparent, cooperative, proactive, and laser-focused on creating commercial value.
4. RightData
RightData is a manufacturer of data-driven products. Our self-service products make it easier to import your data into target data platforms, unify data, structure it, clean it up, validate it, and do other difficult data operations. Using reporting, analytics, advanced analytics, and machine learning modeling capabilities, we enable you to obtain insights into your data.
5. Integrate.io
Data processing will be streamlined using the cloud-based data integration, ETL, and ELT platform Integrate.io. It can assemble all of your data sources. You may build straightforward, visually appealing data pipelines to your data lake with it. Your company will get immediate benefits from Integrate.io’s cloud-based big data processing service, including data flow design and job scheduling. Both structured and unstructured data can be processed. Organizations will be able to combine, process, and get ready data for cloud analysis with this platform.
6. Oxagile
With a focus on big data, Oxagile is a full-service software development firm. Data engineering, data analysis, and visualization (ML analytics, BI dashboarding), as well as data and pipeline migration, are all areas of expertise for the business. Oxagile helps medium and large businesses as well as startup companies with their big data demands at every stage of the development process, from advising to solution design to implementation.
7. IBM
American corporation International Business Machine (IBM) has its main office in New York. As of May 2017, IBM was ranked number 43 on the Forbes list with a market capitalization of $162.4 billion. With about 414,400 people, the firm is the largest employer and has operations in 170 countries. IBM made a profit of $11.9 billion on sales of about $79.9 billion. For 24 years running, IBM has the most patents produced by the industry as of 2017. The largest supplier of goods and services for big data is IBM.
8. HP Enterprise
Micro Focus purchased HP Enterprise, which also included Vertica. In a relatively short amount of time, Micro Focus has rapidly amassed a robust portfolio of Big Data products. The Vertica Analytics Platform provides the fastest query performance on Hadoop and SQL Analytics and is built to manage a huge volume of structured data. In comparison to traditional systems, Vertica offers performance that is 10–50 times faster or more. Big Data software makes it possible for many companies to store, analyze, and study data regardless of the data’s source, nature, or location.
9. Teradata
With its headquarters in Dayton, Ohio, Teradata was established in 1974. With a market capitalization of $7.7 billion, Teradata has more than 10K people working in 43 different countries, as well as almost 1,400 clients. It has considerable leadership and innovation experience spanning 35+ years. Teradata Corp. offers marketing and consulting services, an analytics tool, and a platform for analytical data. Teradata assists numerous businesses in maximizing the value of their data. Various firms can benefit from data thanks to Teradata’s Big Data Analytical solutions and a team of professionals.
10. Oracle
With more than 420,000 clients and 136,000 employees working in 145 countries, Oracle provides fully integrated cloud applications and platform services. According to Forbes’ ranking, it has a market valuation of $182.2 billion and annual sales of $37.4 B. The largest player in the big data space is Oracle, which is also well-known for its leading database. Oracle makes use of big data’s advantages in the cloud. It aids firms in defining their big data and cloud technologies data strategy and approach.
Conclusion:
The best big data companies have been highlighted in this article. This is not a comprehensive list; there are many additional startups that have the potential to expand far more quickly. For the other competing companies, this will be difficult.
These businesses offer a variety of products and solutions, which other organizations use depending on their need. It’s now your turn to expand the aforementioned list of businesses!
