Information innovation: 14 companies harnessing the combined power of big data and cloud computing

February 18, 2019
Updated: May 1, 2019
Written by Sam Daley

If “data is the new oil,” cloud computing is the digital derrick and terabyte tanker that collects, stores and disperses valuable big data information across the globe.

The agility and flexibility of a cloud computing environment lets big data companies manage almost-unfathomable amounts of raw data in real time. Accessibility and scalability to fit specific usage and storage demands are attractive benefits, too.

Consequently, the popularity of hybrid clouds is rising rapidly. Data stored on hybrids can be transferred between on-premises (private) clouds and Infrastructure-as-a-Service (public clouds) depending on the sensitivity and volume of information.

Netflix, Airbnb and Uber — some of the largest consumer data collectors in the world — all use a form of hybrid cloud computing to harness their data, connect trillions of points and produce new solutions.

We’ve assembled a list of 14 big data cloud computing companies that are helping propel a $100 billion-plus industry.

 

cloud computing applications spins
Spins

SPINS

Location: Chicago, Illinois

How it’s using big data and the cloud: SPINS uses cloud-based solutions to help the health-and-wellness food industry gain insights into its big data. Retailers and brands can learn about how well their marketing campaigns are performing, how store management efforts are working and even which products are most popular.    

Industry Impact: CPG intelligence platform Destini, part of SPINS, announced a partnership with interactive vending machine company Vengo through which CPG brands can target customers using Vengo’s interactive vending machines.

 

cloud big data applications igneous systems
Igneous Systems

Igneous Systems

Location: Seattle, Washington

How it’s using big data and the cloud: Igneous offers unstructured Data-Management-as-a-Service for data visibility, protection and mobility. The Igneous platform allows for the scaling of hybrid cloud-stored data and even features cybersecurity protocols that include data backup and archival.     

Industry Impact: Igneous partnered with PAIGE (a new company focused on harnessing medical data in pathology and oncology through AI) to protect and manage the company’s massive medical database. With Igneous, PAIGE can effectively manage its 8 petabytes of data.

 

cloud big data applications blueprint
Blueprint Technologies

Blueprint Technologies

Location: Bellevue, Washington

How it’s using big data and the cloud: Blueprint Technologies employs data tools that help digitize everything from customer experience to a business's data science and analytics. Its Conduit platform helps connect databases to the cloud for a safer, faster and more agile look into a company's raw data.      

Industry Impact: Blueprint Technologies was named the third fastest growing consulting firm in 2018 by Consulting Magazine.

 

cloud big data applications analytics pros
Analytics Pros

Analytics Pros

Location: Seattle, Washington

How it’s using big data and the cloud: Analytics Pros helps businesses process data to optimize digital experiences. The company offers a variety of services for cloud, software and big data companies, including analytical audits, strategic consulting and digital tool implementation.

Industry Impact: Analytics Pros have helped global brands like SAP, Starbucks and Yelp to optimize their digital experiences. The company also announced a merger with Google Partner Adswerve that will help users break down the silos between technology in media and analytics.

 

cloud big data applications mogodb
MongoDB

MongoDB

Location: New York, New York

How it’s using big data and the cloud: MongoDB is a database ecosystem that lets businesses fully deploy managed cloud platforms in minutes. The company offers a wide variety of products to manage big data, including serverless platforms, cloud migration and data visualization charts.

Industry Impact: Coinbase, Cisco, Facebook, Google, KPMG and the City of Chicago all use MongoDB’s cloud-based data tools to manage and interpret their big data pools.  

 

cloud big data applications datahero
DataHero

DataHero

Location: Santa Monica, California

How it’s using big data and the cloud: DataHero is a cloud-based business intelligence software platform that integrates data dashboards and visualization tools within a businesses’ current processes. The company helps to funnel a businesses’ big data from different departments into one platform that tracks KPIs and gives deeper insights into product performance.   

Industry Impact: DataHero creates data visualization tools for hundreds of softwares and services, including Mailchimp, Excel, Pardot, ActiveCampaign and ZenDesk.

 

cloud big data applications vendavo
Vendavo

Vendavo

Location: Denver, Colorado

How it’s using big data and the cloud: Vendavo offers cloud tools to help enterprises manage and optimize their data. The Vendavo platform harnesses big data to help retailers intelligently price their products for maximum profitability and sales teams can produce competitively-priced proposals.   

Industry Impact: Vendavo’s platform has helped its users earn over $2.5 billion annually. Some of the company’s most well-known customers include Office Depot, Dow Chemical, Siemens and Dell.

 

cloud big data applications earlybrid
Earlybird

Earlybird

Location: Chicago, Illinois

How it’s using big data and the cloud: Earlybird builds cloud-based data solutions for businesses in the automotive, aviation, education and public sectors. The consulting firm has partnered with many higher education institutions and used their data to find the right specialists, target strategic alumni in the private sector and collect and analyze data on school initiatives.

Industry Impact: With the help of cloud-based big data technologies, Earlybird partners with research institutions to help them commercialize their findings, inventions and products.

 

cloud big data applications collibra
Collibra

Collibra

Location: New York, New York

How it’s using big data and the cloud: Collibra automates big data management with tools that include cloud migration. The company’s partnership with Amazon Web Services (AWS) lets businesses seamlessly adopt cloud data management tools without interrupting the end-user experience. The Collibra cloud collects and secures business data from most sources, including websites, mobile apps and IoT devices.     

Industry Impact: Collibra recently announced $100 million in series E funding, bringing the big data automation company to a valuation of more than $1 billion. Google parent company, Alphabet, was among the investors.

 

cloud big data applications cloudera
Cloudera

Cloudera

Location: Palo Alto, California

How it’s using big data and the cloud: Cloudera delivers machine learning and analytics platforms for the cloud. Cloudera offers a number of tools to help enterprises manage their data, including data warehouses that funnel information from all points of a business (structured data, machine logs, IoT, text, etc.) into one platform. Additionally, the company offers hybrid options to keep a business's data management flexible.  

Industry Impact: Thomson Reuters, Komatsu, Mastercard and NYSE are just a few of the global brands using Cloudera to holistically manage their cloud-based data.

 

cloud big data applications treasure data
Treasure Data

Treasure Data

Location: Mountain View, California

How it’s using big data and the cloud: Treasure Data is a fully-managed, end-to-end cloud service for big data companies. The Customer Data Platform (CDP) helps marketers understand consumer behavior by compiling data across devices, locations and times and housing this data under one roof. By compiling data on the cloud, businesses can use the information to craft real-time individualized offers that drive customer engagement.   

Industry Impact: Treasure Data has gathered and interpreted customer big data for global brands like LG, Wish, Canon and Mattel.

 

cloud big data applications thirdeye data
ThirdEye Data

ThirdEye Data

Location: Santa Clara, California

How it’s using big data and the cloud: ThirdEye Data provides cloud-based machine learning and artificial intelligence tools for big data management. Its cloud managed services ensure fully-hosted end-to-end solutions on the Microsoft Azure,  IBM Bluemix and Google Cloud platforms. By remaining data agnostic, ThirdEye can offer users flexibility in big data processing and storage.

Industry Impact: ThirdEye Data’s mixture of AI, deep learning and machine learning allows businesses to easily sift through massive pools of cloud-based data to make connections and learn more about their business practices.

 

cloud big data applications algolia
Algolia

Algolia

Location: San Francisco, California

How it’s using big data and the cloud: Algolia’s hosted search API lets developers build reliable search engines for efficient customer experiences. The cloud computing software tracks customer search habits and uses big data to deliver the right content at the right time. The cloud solutions help marketers, media companies and e-commerce companies use their consumer data to create effective online experiences for each customer.   

Industry Impact: Algolia is used by well-known brands like Lacoste, Stripe and Twitch to tailor customer experiences and collect better-quality consumer data.

 

cloud big data applications mapr technologies
MapR Technologies

MapR Technologies

Location: Santa Clara, California

How it’s using big data and the cloud: MapR deploys enterprise-grade, cloud-based technologies to help companies manage their dataware (data managed as a first-class enterprise resource free from any other dependencies). The MapR Data Platform facilitates the movement of data to one or more clouds for disaster recovery and a more nimble data management process.
Industry Impact: Audi, Cisco, HP, Novartis and the US Government all use MapR to manage and protect their big data lakes.

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