HortonWorks Data Platform vs Cloudera CDH

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

HortonWorks Data Platform is a Ai Tools & Services solution with tags like hadoop, big-data, analytics.

It boasts features such as 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 pros including Open source and free, Scalable and flexible, Supports wide variety of workloads, Enterprise-grade security and governance, Large ecosystem of integrations.

On the other hand, Cloudera CDH is a Ai Tools & Services product tagged with hadoop, hdfs, yarn, spark, hive, hbase, impala, kudu.

Its standout features include 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 it shines with pros like 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.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

HortonWorks Data Platform

• Open Source
• Subscription-Based

Cloudera CDH

• Open Source
• Subscription-Based (Cloudera Enterprise)