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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Create rich, interactive dashboards to accelerate your analytical insights throughout your enterprise. Cloudera Data Visualization allows data engineers, data scientists, and business analysts to explore data, collaborate and share insights throughout the data lifecycle - from data ingest through to data insights. Data Visualization, a native Cloudera product, provides a consistent data visualization experience that is easy to use. It includes drag-and drop dashboards and custom applications. SDX provides full security for Data Visualization, enabling enhanced data workflows in all your data and analytics workflows. Cloudera Machine Learning can be used to build predictive applications, or you can leverage your data warehouse for fast intelligent reporting.

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

Amazon Web Services (AWS) No 
Apache Druid No 
Apache Hive No 
Apache Impala No 
Apache Kudu No 
Cloudera Yes 
Cloudera Data Platform Yes 
Hue No 
Microsoft Azure No 
SQL No 

Integrations

Amazon Web Services (AWS) Yes 
Apache Druid Yes 
Apache Hive Yes 
Apache Impala Yes 
Apache Kudu Yes 
Cloudera No 
Cloudera Data Platform No 
Hue Yes 
Microsoft Azure Yes 
SQL Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

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 Yes 
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) Yes 
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/data-visualization.html

Vendor Details

Company Name

Cloudera

Founded

2008

Country

United States

Website

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

Product Features

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP Yes 
Relational Display No 
Simulation Models No 
Visual Discovery 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 

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