Cloudera

4.1
(22)

Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

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Cloudera Features

Database Features

Query Language

Not enough data available

Storage

Not enough data available

Availability

Not enough data available

Stability

Not enough data available

Scalability

Not enough data available

Security

Not enough data available

Data Manipulation

Not enough data available

Database

Real-Time Data Collection

Collects, stores, and organizes massive, unstructured data in real time

Not enough data available

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

88%
(Based on 5 reviews)

Data Lake

Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Not enough data available

Data Transformation

Real-Time Analytics

Facilitates analysis of high-volume, real-time data.

Not enough data available

Integrations

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

88%
(Based on 5 reviews)

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

79%
(Based on 5 reviews)

Platform

Machine Scaling

Facilitates solution to run on and scale to a large number of machines and systems

Not enough data available

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Not enough data available

Spark Integration

Aligns processing and distribution workflows on top of Apache Hadoop

79%
(Based on 5 reviews)

Connectivity

Multi-source Analysis

Integrates data from multiple external databases.

Not enough data available

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Not enough data available

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark

Not enough data available

Data Lake

Facilitates the dissemination of collected big data throughout parallel computing clusters.

Not enough data available

Processing

Cloud Processing

Moves big data collection and processing to the cloud

Not enough data available

Workload Processing

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems

Not enough data available

Operations

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Not enough data available

Data Workflow

Strings together specific functions and datasets to automate analytics iterations.

Not enough data available

Governed Discovery

Isolates certain datasets and facilitates management of data access.

Not enough data available

Embedded Analytics

Allows big data tool to run and record data within external applications.

Not enough data available

Building Reports

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes.

83%
(Based on 9 reviews)

Data Modeling

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

76%
(Based on 10 reviews)

WYSIWYG Report Design

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Not enough data available

Integration APIs

78%
(Based on 8 reviews)

Platform

Sandbox / Test Environments

76%
(Based on 8 reviews)

Mobile User Support

Not enough data available

Customization

88%
(Based on 6 reviews)

User, Role, and Access Management

Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

70%
(Based on 7 reviews)

Internationalization

Not enough data available

Performance and Reliability

78%
(Based on 10 reviews)

Breadth of Partner Applications

67%
(Based on 6 reviews)