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Amazon EMR vs HortonWorks Data Platform

Professional comparison and analysis to help you choose the right software solution for your needs.

Amazon EMR icon
Amazon EMR
HortonWorks Data Platform icon
HortonWorks Data Platform

Amazon EMR vs HortonWorks Data Platform: The Verdict

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Amazon EMR HortonWorks Data Platform
Sugggest Score
Category Ai Tools & Services Ai Tools & Services
Pricing Open Source Open Source

Product Overview

Amazon EMR
Amazon EMR

Description: Amazon EMR is a cloud-based big data platform for running large-scale distributed data processing jobs using frameworks like Apache Hadoop and Apache Spark. It manages and scales compute and storage resources automatically.

Type: software

Pricing: Open Source

HortonWorks Data 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.

Type: software

Pricing: Open Source

Key Features Comparison

Amazon EMR
Amazon EMR Features
  • Managed Hadoop and Spark clusters
  • Supports multiple big data frameworks like Apache Spark, Apache Hive, Apache HBase, and more
  • Automatic scaling of compute and storage resources
  • Integration with AWS services like Amazon S3, Amazon DynamoDB, and Amazon Kinesis
  • Supports custom applications and scripts
  • Provides easy cluster configuration and management
HortonWorks Data Platform
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

Amazon EMR
Amazon EMR
Pros
  • Fully managed big data platform
  • Scalable and fault-tolerant
  • Integrates with other AWS services
  • Reduces the need for infrastructure management
  • Flexible and supports various big data frameworks
Cons
  • Can be more expensive than self-managed Hadoop clusters for long-running jobs
  • Vendor lock-in with AWS
  • Limited control over the underlying infrastructure
  • Complexity in managing multiple big data frameworks
HortonWorks Data Platform
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

Amazon EMR
Amazon EMR
  • Open Source
HortonWorks Data Platform
HortonWorks Data Platform
  • Open Source

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