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features
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support

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Description

Harness the capabilities of both private and public clouds through a unique hybrid data platform tailored for contemporary data architectures, enabling data access from any location. Cloudera stands out as a hybrid data platform that offers unparalleled flexibility, allowing users to choose any cloud, any analytics solution, and any type of data. It streamlines data management and analytics, ensuring optimal performance, scalability, and security for data accessibility from anywhere. By leveraging Cloudera, organizations can benefit from the strengths of both private and public clouds, leading to quicker value realization and enhanced control over IT resources. Moreover, Cloudera empowers users to securely transfer data, applications, and individuals in both directions between their data center and various cloud environments, irrespective of the data's physical location. This bi-directional capability not only enhances operational efficiency but also fosters a more adaptable and responsive data strategy.

Description

Cloudera Data Warehouse is a cloud-native, self-service analytics platform designed to empower IT departments to quickly provide query functionalities to BI analysts, allowing users to transition from no query capabilities to active querying within minutes. It accommodates all forms of data, including structured, semi-structured, unstructured, real-time, and batch data, and it scales efficiently from gigabytes to petabytes based on demand. This solution is seamlessly integrated with various services, including streaming, data engineering, and AI, while maintaining a cohesive framework for security, governance, and metadata across private, public, or hybrid cloud environments. Each virtual warehouse, whether a data warehouse or mart, is autonomously configured and optimized, ensuring that different workloads remain independent and do not disrupt one another. Cloudera utilizes a range of open-source engines, such as Hive, Impala, Kudu, and Druid, along with tools like Hue, to facilitate diverse analytical tasks, which span from creating dashboards and conducting operational analytics to engaging in research and exploration of extensive event or time-series data. This comprehensive approach not only enhances data accessibility but also significantly improves the efficiency of data analysis across various sectors.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Hive
Amadea
Apache Hadoop YARN
Azure Marketplace
Cloudera
Cloudera Data Science Workbench
Cloudera Data Visualization
Cloudera DataFlow
Docker
Hadoop
Hue
IBM Netezza Performance Server
Microsoft Azure
Progress DataDirect
Querona
R Systems
SQL
TensorFlow
jethro

Integrations

Apache Hive
Amadea
Apache Hadoop YARN
Azure Marketplace
Cloudera
Cloudera Data Science Workbench
Cloudera Data Visualization
Cloudera DataFlow
Docker
Hadoop
Hue
IBM Netezza Performance Server
Microsoft Azure
Progress DataDirect
Querona
R Systems
SQL
TensorFlow
jethro

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

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

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Management Platforms (DMP)

Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Alternatives

Alternatives