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Cloudera

United States
Palo Alto
2008
Public
NYSE:CLDR
$100m-1b
1,001 - 10,000
Open website
Cloudera delivers an Enterprise Data Cloud for any data, anywhere, from the Edge to AI.Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Today, Cloudera has more than 1,600 employees. They have offices in 24 countries around the globe, with their headquarters in Palo Alto, California.
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Cloudera Data Platform, the industry’s first enterprise data cloud

CDP manages and secures the data lifecycle across all major public clouds and the private cloud―seamlessly connecting on-premises environments to public clouds for a hybrid experience. IT can deliver the speed and agility the business wants thanks to CDP’s ability to:

- Control cloud costs with auto scale, suspend, and resume

- Optimize workloads based on analytics and machine learning

- View data lineage across any cloud and transient clusters

- Use a single pane of glass across hybrid and multi-clouds

- Scale to petabytes of data and thousands of diverse users
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Arcadia Data
Cloudera is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy technologies, and also active in the oil and gas, and telecommunications industries.
Technologies
Analytics & Modeling
Machine Learning
Real Time Analytics
Platform as a Service (PaaS)
Application Development Platforms
Data Management Platforms
Application Infrastructure & Middleware
Data Visualization
Cybersecurity & Privacy
Network Security
Functions
Business Operation
Industries
Oil & Gas
Telecommunications
Services
Data Science Services
Cloudera’s Technology Stack maps Cloudera’s participation in the platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies6
Direct Marketing Solution
Marketing to prospects (direct mail, telemarketing, and email) is expensive. Targeting incorrectly can hurt your brand, leaving prospects feeling spammed. Traditional techniques are not very sophisticated, resulting in low response rates which in turn leads to high cost-per-lead/acquisition numbers.
Numberly Leverages Cloudera Machine Learning Platform for Real-Time CRM Optimization
In the data-driven world, marketing technology companies like Numberly are increasingly dependent on their ability to deliver valuable insights from diverse, large datasets to maintain a competitive edge. The greatest return on marketing and advertising spend is achieved by delivering precisely targeted, relevant, and timely messages. To maintain its position as a global leader, Numberly faced the challenge of including, processing, and reconciling large and diverse datasets, such as static data from CRMs and streaming sensor data. They needed to make this data accessible for data science and analytics in near real-time.
Global IT Company Enhances Search Capabilities with Modern Data Platform
The global information technology services company, which provides one of the largest e-commerce platforms in the world, was facing challenges due to the exponential growth in data volume resulting from increased internet transactions. The company needed to improve the relevance of information for discovery and required a semantic search engine to power the search function for all applications on its platform. This was crucial to understand user intent through search context and improve the relevance of results. The company also needed to create a modern architecture framework to enable better searches, replicate data, and perform experimental customization analytics. The challenge was to move data efficiently to allow effective searchability, a task the company was struggling with. The platform also needed to handle increased search traffic and data volumes expected in the future, while adhering to high security and compliance standards and avoiding high costs.
Number of Similar Suppliers4
C3 IoT
C3 IoT
C3 IoT provides a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic Cloud Computing, analytics, and Machine Learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turn-key SaaS IoT applications including Predictive Maintenance, fraud detection, sensor network health, supply chain optimization, investment planning, and customer engagement. Customers can use pre-built C3 IoT applications, adapt those applications using the platform’s toolset, or build custom applications using C3 IoT’s Platform as a Service.Year founded: 2009
Altair
Altair
Altair is a leading provider of enterprise-class engineering software enabling innovation, reduced development times, and lower costs through the entire product lifecycle from concept design to in-service operation. Our simulation-driven approach to innovation is powered by our integrated suite of software which optimizes design performance across multiple disciplines encompassing structures, motion, fluids, thermal management, electromagnetics, system modeling and embedded systems, while also providing data analytics and true-to-life visualization and rendering.
Uptake
Uptake
Uptake is a SaaS-based product company, combining Data Science, Machine Learning and security with deep industry knowledge to drive outcomes in productivity, safety, security and reliability that deliver value to businesses.
Bohua Technology
Bohua Technology
Beijing Bohua Technology Co., Ltd. was established in 2006 and is specialized in the Internet industry equipment condition monitoring, fault diagnosis, maintenance management, intelligent monitoring and other related product development, production and technical services of high-tech enterprises. Bohua serves the petrochemical, coal chemical industry, metallurgy, electric power, wind power, military, municipal, rail transportation and other industries. Products include offline inspection system, a reciprocating compressor line monitoring and diagnosis systems, rotating machinery monitoring and diagnosis system, key-line pump monitoring and diagnosis system, on-line monitoring and diagnosis system of the wind turbine, the engine line monitoring system, a wireless monitoring and diagnosis system, moving professional equipment management platform, remote monitoring diagnostic center, RCM assessment of the overall solution. The company has a comprehensive product research and development, production, marketing, on-site project implementation and technical service capabilities, professional hardware production base through the ISO9001: 2008 quality management system certification, and high-tech enterprises in Beijing's Zhongguancun, has made more than patents and computer software copyrights, with certification of software products and software enterprise certification, and access to provincial and ministerial level scientific and technological progress award special award. Bohua technology has the layout of Industry 4.0 innovative intelligent field equipment, such as the Internet industry to make its own contribution to China over the next decade to develop into manufacturing power from the manufacturing country.
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