6 Big Data companies to watch in 2017

big-data-2017

With revenue from sales of big data and business analytics tools said to reach a whopping $187 billion in 2019, there is no doubt that every industry in the market needs to take notice. We’ve compiled a list of the top 5 Big Data companies that you won’t be able to ignore in 2017. So, get ready for the revolution

The Big Data industry is constantly growing, transforming the way people perceive things and companies conduct their business. The term describes large volumes of both structured and unstructured data that inundates a business on a day-to-day basis. The idea behind Big Data is that we can learn from a large body of information things that we could not comprehend when we used only smaller amounts.

Big Data has already spread out to different business lines, such as cyber-security, pharmaceutical and health research, and even marketing, and is said to grow substantially in the years to come. In fact, revenue from the sales of big data and business analytics tools, services, and applications is said to reach $187 billion in 2019.

Whatever the industry, it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Here is a list of 6 Big Data companies you should watch in this coming year. They’re bound to make a difference in their individual industries.

SQream

As data volumes and business needs grow exponentially, companies are faced with growing amounts of data, performance bottlenecks and capacity limitations. SQream has developed a Next Generation GPU-powered database from scratch, enabling organizations to quickly and hassle-free implement a high-performing big data analytics software, designed to easily ingest, store and analyze extremely large datasets in near real time.  

Instead of querying one week or one month back, the company gives users the ability to query years back, at a much higher speed. With SQream, the power of a full-rack 42U database machine is condensed into a standard 2U server – translating into the most cost-effective big data analytics solution available in the market. With SQream, big data projects can be completed and compromises related to speed, scale and capacity – can be evoked.

Coralogix

Founded in 2014, Coralogix’s AI turns log data into a set of patterns and flows in order to help companies avoid getting lost in their log data. Coralogix answers the 3 questions that bother any engineer trying to investigate his production logs: What to search, Where to search, and When to search. The company targets CTO’s, VP’s, R&D’s, VP engineers, and basically every developer or devops technician who want to turn their Big Data into Small Data they can actually work with.

Roundforest

Roundforest is a data-driven e-commerce startup that helps consumers worldwide discover relevant products and make better shopping decisions. The company uses data analysis and predictive analytics technologies to enable an obstacle free purchase path, allowing smooth interaction and better decision making for consumers. With over 20 million monthly users, the company’s founders who used to work at Google and Intel are determined to apply their background in machine learning and data analysis to assist consumers with their shopping decisions.

Alteryx

Alteryx was formed in 1997 and its three founders still play prominent roles at the self-service software and cloud service company for business analysts. The company, which has its roots in a company called SRC that worked closely with the U.S. Census Bureau, enables its users to blend data, analyze it and share it.

Domo

Domo is an intelligent dashboard that connects users with the data they need to improve business results, and enables businesses to analyze different key business metrics in real time. It is able to aggregate information from different sources into a single dashboard, and has only recently publicly entered the market.

InsightSquared

InsightSquared is a sales performance analytics company for fast-growing tech businesses that enables them to understand the relationship between their team’s performance and revenue goals. The company offers powerful data intelligence in an accessible and affordable system. Setup is quick, and doesn’t require dedicated IT personnel. The software offers users access to dashboards and interactive visualizations that turn static data to dynamic charts.

To sum up, more and more big data companies are entering the market faster than we can keep track, and there’s no stopping it. In fact, by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet. There’s no telling where the aforementioned companies will be by the end of 2017, but chances are they’ll only grow much bigger and consist of even more data than we can possibly fathom.

This post is part of our contributor series. It is written and published independently of TNW.

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