Cloudera

Overview
HQ Location
United States
|
Year Founded
2008
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Company Type
Public
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Revenue
$100m-1b
|
Employees
1,001 - 10,000
|
Website
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Stock Ticker
NYSE:CLDR
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Company Description
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.
IoT Solutions
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
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
Subsidiary
IoT Snapshot
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
Functional Areas
Industries
Services
Technology Stack
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.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.

Case Study
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.
Case Study
Exploring New Frontiers in Real-time CRM
As the world at large has become more data-driven, marketing technology companies like Numberly increasingly rely on their ability to deliver the best insights from diverse, voluminous datasets to gain a competitive advantage. Generating the greatest return on marketing and advertising spend hinges on their ability to deliver precisely targeted, relevant, and timely messages.To maintain its foothold as a global leader, Numberly must include, process, and reconcile large and diverse datasets--such as static data from CRMs and streaming sensor data--and make that data accessible for data science and analytics in close to real-time.

Case Study
Powering Search with a Modern Data Platform
The company needed a semantic search engine to power the search function for all the applications on its platform. This would help it understand the user’s intent through the search context and improve the relevance of the results.To provide the foundation for this, the company needed to create a modern architecture framework to enable better searches, replicate data, and do experimental customization analytics. The platform would also be designed to handle the increased search traffic and data volumes expected in the future - which is an important step toward an intelligent enterprise.
Case Study
Bringing Value and Insight into Data
As Cox Automotive was formed, executives sought to implement an enterprise data strategy that would enable the company to deliver new customer experiences using rich automotive data from across its brands.When the 20 brands came together, it was not possible to bring all the data together in traditional environments such as Netezza or SQL Server.
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