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What is Cloudera Data Platform?

Utilize the strengths of both private and public cloud environments with a distinctive hybrid data platform designed for modern data frameworks, which facilitates data access from virtually anywhere. Cloudera distinguishes itself as a versatile hybrid data platform, providing unmatched flexibility that enables users to select any cloud service, any analytics tool, and any data type they require. It simplifies the processes of managing data and conducting analytics, ensuring top-notch performance, scalability, and security for data access across diverse locations. By adopting Cloudera, organizations can leverage the advantages of both private and public cloud infrastructures, resulting in rapid value creation and improved governance over IT assets. In addition, Cloudera allows users to securely move data, applications, and personnel back and forth between their data center and multiple cloud environments, regardless of where the data resides. This two-way functionality not only boosts operational efficiency but also cultivates a more flexible and responsive approach to data management. Ultimately, Cloudera equips organizations with the tools necessary to navigate the complexities of data in a connected world, enhancing their strategic decision-making capabilities.

What is Amazon EMR?

Amazon EMR is recognized as a top-tier cloud-based big data platform that efficiently manages vast datasets by utilizing a range of open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This innovative platform allows users to perform Petabyte-scale analytics at a fraction of the cost associated with traditional on-premises solutions, delivering outcomes that can be over three times faster than standard Apache Spark tasks. For short-term projects, it offers the convenience of quickly starting and stopping clusters, ensuring you only pay for the time you actually use. In addition, for longer-term workloads, EMR supports the creation of highly available clusters that can automatically scale to meet changing demands. Moreover, if you already have established open-source tools like Apache Spark and Apache Hive, you can implement EMR on AWS Outposts to ensure seamless integration. Users also have access to various open-source machine learning frameworks, including Apache Spark MLlib, TensorFlow, and Apache MXNet, catering to their data analysis requirements. The platform's capabilities are further enhanced by seamless integration with Amazon SageMaker Studio, which facilitates comprehensive model training, analysis, and reporting. Consequently, Amazon EMR emerges as a flexible and economically viable choice for executing large-scale data operations in the cloud, making it an ideal option for organizations looking to optimize their data management strategies.

Media

Media

Integrations Supported

Apache Hive
Hadoop
Progress DataDirect
Protegrity
SAS Studio
Cloudera Data Science Workbench
Google Cloud Storage
IBM Netezza Performance Server
Querona
R Systems
Value Innovation Labs Marketing Automation Platform

Integrations Supported

Apache Hive
Hadoop
Progress DataDirect
Protegrity
SAS Studio
AWS Data Exchange
AWS Lake Formation
AWS Step Functions
Amazon SageMaker Data Wrangler
Apache HBase
Ataccama ONE
IBM watsonx.data integration
New Relic
Pelanor

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cloudera-data-platform.html

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/emr/

Categories and Features

Data Analysis

Data Discovery
Data Visualization

Data Management

Customer Data
Data Capture

Data Management Platforms (DMP)

Audience Targeting
Campaign Management
Customer Journey Mapping
Data Capture / Transfer
Data Visualization

Hybrid Cloud

Not specified

Categories and Features

Big Data

Not specified

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