HortonWorks Data Platform vs Greenplum HD

Struggling to choose between HortonWorks Data Platform and Greenplum HD? 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, Greenplum HD is a Ai Tools & Services product tagged with analytics, big-data, postgresql, parallel-processing.

Its standout features include Massively parallel processing (MPP) architecture, Column-oriented storage, In-database analytics, In-database Python programming, SQL support, Hadoop integration, Cloud-native deployment, and it shines with pros like 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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

HortonWorks Data Platform

HortonWorks Data Platform

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.

Categories:
hadoop big-data analytics

HortonWorks Data Platform Features

  1. Distributed storage and processing using Hadoop
  2. Real-time data processing with Storm
  3. Data governance and security
  4. Simplified management and monitoring
  5. Integration with R, Python, Spark and more

Pricing

  • Open Source
  • Subscription-Based

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


Greenplum HD

Greenplum HD

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.

Categories:
analytics big-data postgresql parallel-processing

Greenplum HD Features

  1. Massively parallel processing (MPP) architecture
  2. Column-oriented storage
  3. In-database analytics
  4. In-database Python programming
  5. SQL support
  6. Hadoop integration
  7. Cloud-native deployment

Pricing

  • Open Source
  • Free

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