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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Hive Yes 
Amadea Yes 
Amazon Web Services (AWS) No 
Apache Hadoop YARN Yes 
Cloudera Yes 
Cloudera Data Science Workbench Yes 
Cloudera Data Visualization Yes 
Cloudera DataFlow Yes 
Docker Yes 
Google Cloud Storage Yes 
Hadoop Yes 
Hue No 
IBM Netezza Performance Server Yes 
Microsoft Azure No 
Progress DataDirect Yes 
Protegrity Yes 
R Systems Yes 
SAS Studio Yes 
Value Innovation Labs Marketing Automation Platform Yes 
jethro Yes 

Integrations

Apache Hive Yes 
Amadea No 
Amazon Web Services (AWS) Yes 
Apache Hadoop YARN No 
Cloudera No 
Cloudera Data Science Workbench No 
Cloudera Data Visualization No 
Cloudera DataFlow No 
Docker No 
Google Cloud Storage No 
Hadoop No 
Hue Yes 
IBM Netezza Performance Server No 
Microsoft Azure Yes 
Progress DataDirect No 
Protegrity No 
R Systems No 
SAS Studio No 
Value Innovation Labs Marketing Automation Platform No 
jethro No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

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 Yes 
Data Visualization Yes 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Management

Customer Data Yes 
Data Analysis No 
Data Capture Yes 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Management Platforms (DMP)

Ad Network Integration No 
Analytics / ROI Tracking No 
Audience Targeting Yes 
Behavioral Analytics No 
CRM No 
Campaign Management Yes 
Competitive Analysis No 
Customer Journey Mapping Yes 
Data Capture / Transfer Yes 
Data Classification No 
Data Visualization Yes 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives

Apache Doris Reviews

Apache Doris

The Apache Software Foundation