Greenplum HD vs HortonWorks Data Platform

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

Greenplum HD is a Ai Tools & Services solution with tags like analytics, big-data, postgresql, parallel-processing.

It boasts features such as Massively parallel processing (MPP) architecture, Column-oriented storage, In-database analytics, In-database Python programming, SQL support, Hadoop integration, Cloud-native deployment and pros including Fast query performance on large datasets, Scales to petabyte-scale data volumes, Flexible deployment options - on-prem or cloud, Opensource and free to use, Supports standard SQL, Integrates with Hadoop ecosystem.

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	Greenplum HD	HortonWorks Data Platform
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Greenplum HD

Description: Greenplum HD is an open-source data analytics platform that enables fast processing of big data workloads. It is based on PostgreSQL and provides massively parallel processing capabilities for analytics queries across large data volumes.

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

Greenplum HD Features

• Massively parallel processing (MPP) architecture
• Column-oriented storage
• In-database analytics
• In-database Python programming
• SQL support
• Hadoop integration
• Cloud-native deployment

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

Greenplum HD

Pros

• Fast query performance on large datasets
• Scales to petabyte-scale data volumes
• Flexible deployment options - on-prem or cloud
• Opensource and free to use
• Supports standard SQL
• Integrates with Hadoop ecosystem

Cons

• Complex installation and configuration
• Requires expertise to tune and optimize
• Limited ecosystem compared to commercial options
• Not fully managed like cloud data warehouses

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

Greenplum HD

• Open Source
• Free

HortonWorks Data Platform

• Open Source
• Subscription-Based