Cloudera CDH vs HortonWorks Data Platform

Struggling to choose between Cloudera CDH and HortonWorks Data Platform? Both products offer unique advantages, making it a tough decision.

Cloudera CDH is a Ai Tools & Services solution with tags like hadoop, hdfs, yarn, spark, hive, hbase, impala, kudu.

It boasts features such as HDFS - Distributed and scalable file system, YARN - Cluster resource management, MapReduce - Distributed data processing, Hive - SQL interface for querying data, HBase - Distributed column-oriented database, Impala - Massively parallel SQL query engine, Spark - In-memory cluster computing framework, Kudu - Fast analytics on fast data, Cloudera Manager - Centralized management and monitoring and pros including Open source and free to use, Includes many popular Hadoop ecosystem projects, Centralized management and monitoring, Pre-configured and tested combinations of components, Active development and support from Cloudera.

On the other hand, HortonWorks Data Platform is a Ai Tools & Services product tagged with hadoop, big-data, analytics.

Its standout features include Distributed storage and processing using Hadoop, Real-time data processing with Storm, Data governance and security, Simplified management and monitoring, Integration with R, Python, Spark and more, and it shines with pros like Open source and free, Scalable and flexible, Supports wide variety of workloads, Enterprise-grade security and governance, Large ecosystem of integrations.

Feature	Cloudera CDH	HortonWorks Data Platform
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Cloudera CDH

Description: Cloudera CDH (Cloudera Distribution Including Apache Hadoop) is an open source data platform that combines Hadoop ecosystem components like HDFS, YARN, Spark, Hive, HBase, Impala, Kudu, and more into a single managed platform.

HortonWorks Data Platform

Description: HortonWorks Data Platform (HDP) is an open source distributed data management platform based on Apache Hadoop. It provides scalable and flexible data storage and processing for big data workloads.

Key Features Comparison

Cloudera CDH Features

• HDFS - Distributed and scalable file system
• YARN - Cluster resource management
• MapReduce - Distributed data processing
• Hive - SQL interface for querying data
• HBase - Distributed column-oriented database
• Impala - Massively parallel SQL query engine
• Spark - In-memory cluster computing framework
• Kudu - Fast analytics on fast data
• Cloudera Manager - Centralized management and monitoring

HortonWorks Data Platform Features

• Distributed storage and processing using Hadoop
• Real-time data processing with Storm
• Data governance and security
• Simplified management and monitoring
• Integration with R, Python, Spark and more

Pros & Cons Analysis

Cloudera CDH

Pros

• Open source and free to use
• Includes many popular Hadoop ecosystem projects
• Centralized management and monitoring
• Pre-configured and tested combinations of components
• Active development and support from Cloudera

Cons

• Can be complex to configure and manage
• Requires dedicated hardware/cluster
• Steep learning curve for Hadoop and related technologies
• Not as flexible as rolling your own Hadoop distribution

HortonWorks Data Platform

Pros

• Open source and free
• Scalable and flexible
• Supports wide variety of workloads
• Enterprise-grade security and governance
• Large ecosystem of integrations

Cons

• Complex to set up and manage
• Requires expertise in Hadoop and big data
• Not as user friendly as some alternatives
• Limited support options

Pricing Comparison

Cloudera CDH

• Open Source
• Subscription-Based (Cloudera Enterprise)

HortonWorks Data Platform

• Open Source
• Subscription-Based